NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York"

Transcription

1 NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: Mathematics COURSE: MAT 1272/ MA 272 TITLE: DESCRIPTION: TEXT: Statistics An introduction to statistical methods and statistical inference. Topics include descriptive statistics, random variables, distributions, sampling, estimation and inference, t-tests, chi-square tests and correlation. Introductory Statistics 6 th edition Prem S. Mann John Wiley & Sons, Inc. CREDITS: 3 PREREQUISITES: MA1 1180/ MA180 or higher Prepared by: Prof. A. P. Taraporevala Pro. N. Benakli Fall 2008 A. Testing Guidelines: The following exams should be scheduled: 1. A one-hour exam at the end of the First Quarter. 2. A one-session exam at the end of the Second Quarter. 3. A one-hour exam at the end of the Third Quarter. 4. A one session Final Examination. B. A scientific calculator is required

2 Learning Outcomes for MAT 1272/ MA 272 Statistics 1. Students will be able to collect, organize and graph raw data. 2. Students will be able to compute statistical parameters (mean, median, mode, average deviation, variance, and sample standard deviation). 3. Students will be able to identify the binomial distribution and bell-shaped distributions (Normal, t-distribution). 4. Students will be able to do simple counting arguments and apply simple probabilities to events. 5. Students will be able to determine if the data supports a hypothesis to a given level of significance. 6. Students will be able to find the least squares regression line. 2

3 Mathematics Department Policy on Lateness/Absence A student may be absent during the semester without penalty for 10% of the class instructional sessions. Therefore, If the class meets: The allowable absence is: 1 time per week 2 absences per semester 2 times per week 3 absences per semester Students who have been excessively absent and failed the course at the end of the semester will receive either the WU grade if they have attended the course at least once. This includes students who stop attending without officially withdrawing from the course. the WN grade if they have never attended the course. In credit bearing courses, the WU and WN grades count as an F in the computation of the GPA. While WU and WN grades in non-credit developmental courses do not count in the GPA, the WU grade does count toward the limit of 2 attempts for a developmental course. The official Mathematics Department policy is that two latenesses (this includes arriving late or leaving early) is equivalent to one absence. Every withdrawal (official or unofficial) can affect a student s financial aid status, because withdrawal from a course will change the number of credits or equated credits that are counted toward financial aid. New York City College of Technology Policy on Academic Integrity Students and all others who work with information, ideas, texts, images, music, inventions, and other intellectual property owe their audience and sources accuracy and honesty in using, crediting, and citing sources. As a community of intellectual and professional workers, the College recognizes its responsibility for providing instruction in information literacy and academic integrity, offering models of good practice, and responding vigilantly and appropriately to infractions of academic integrity. Accordingly, academic dishonesty is prohibited in The City University of New York and at New York City College of Technology and is punishable by penalties, including failing grades, suspension, and expulsion. The complete text of the College policy on Academic Integrity may be found in the catalog. 3

4 4 Session Statistics Homework What is Statistics p Types of Statistics p Population versus Sample p Basic Terms p Types of Variables p P. 4: 1.1, 1.2 P. 8: 1.4, 1.5, 1.7 P. 10: 1.9, 1.11 P. 12:1.15, Raw Data p Organizing and Graphing Qualitative Data p P. 32: 2.1, 2.5, Organizing and Graphing Quantitative Data p Shapes of Histograms p P. 47: 2.15, 2.17, 2.19, 2.23, 2.25, Cumulative frequency Distributions p Stem-and-Leaf Displays p P. 54:2.35, 2.37, 2.39, 2.40 P. 57: 2.46, 2.47, 2.49, 2.53, Measures of Central Tendency for Ungrouped Data p P. 83: 3.1, 3.5, 3.7, odd, 3.23 (optional) Measures of Dispersion for Ungrouped Data p P. 91: 3.39, odd Measures of Position p Box-and-Whisker Plot p First Examination Experiment, Outcomes and Sample Space p Calculating Probability p Counting Rule p Marginal and Conditional Probabilities p Mutually Exclusive Events p Independent versus Dependent Events p Complementary Events p Intersection of Events and the Multiplication Rule p Union of Events and the Addition Rule p P. 110: 3.87, odd P. 113: odd P. 137: odd P. 143: 4.19, 4.21, odd P. 155: 4.45, 4.49, 4.51 P. 155: 4.53 (a), 4.55 (a), 4.57 (a) P. 155: 4.47 (a), 4.53 (b), 4.55 (b), 4.57 (b) P. 155: 4.47 (b), 4.53 (c), 4.55 (c), 4.57 (c), 4.59, 4.61 P. 155: 4.47 (c), 4.63, 4.65 P. 164: 4.70, odd P. 173:4.105, odd

5 5 Session Statistics Homework Random Variables p Probability Distributions of a Discrete Random Variable p P. 190: 5.2, 5.3 P. 196: 5.9, 5.14, 5.15, 5.16, 5.17, Mean of a Discrete Random Variable p Standard Deviation of a Discrete Random Variable p P. 204: odd Factorials, Combinations, and Permutations p P. 210: odd The Binomial Probability Distribution p P. 221: 5.51, 5.53, odd 16 Second Examination Continuous Probability Distribution p The Normal Distribution p The Standard Normal Distribution p Standardizing the Normal Distribution p P. 263: odd P. 269: odd Applications of the Normal Distribution p P. 274: odd Determining the of z and x Values when an Area Under the Normal Curve is Known p The Normal Approximation to the Binomial Distribution p Population and Sampling Distributions p Sampling and Nonsampling Errors p Mean and Standard Deviation of x p Shape of the Sampling Distribution of x p Applications of the Sampling Distribution of x p Third Examination Hypothesis Tests: An Introduction p Hypothesis Tests about μ : σ Known p P. 279: odd P. 285: odd P. 302: 7.7 P. 305: 7.15, 7.19, 7.21 P. 311: odd P. 316: 7.43, odd P. 386: 9.5, 9.7, 9.9 P. 398: 9.21, 9.23, 9.27, 9.35 (b) 9.41 (b)

6 6 Session Statistics Homework Hypothesis Tests about μ : σ Unknown p P. 408: 9.49, 9.55, 9.61, 9.63 (a), 9.67 (b) The Chi-Square Distribution p A Goodness-of-Fit Test p P. 492: 11.5, 11.7 P. 500: 11.13, odd Contingency Tables p A Test about Independence or Homogeneity p P. 511: odd Simple Linear Regression Model p Simple Linear Regression Analysis p P. 568: odd, Linear Correlation p P. 587: 13.67, all 30 Final Examination

7 7 Statistics Homework 1.2 Types of Statistics p. 2-4 P. 4: 1.1, Population versus Sample p. 5-8 P. 8: 1.4, 1.5, Basic Terms p P. 10: 1.9, Types of Variables p P. 12:1.15, Organizing and Graphing Qualitative Data p P. 32: 2.1, 2.5, Shapes of Histograms p P. 47: 2.15, 2.17, 2.19, 2.23, 2.25, Cumulative frequency Distributions p P. 54: 2.35, 2.37, 2.39, Stem-and-Leaf Displays p P. 57: 2.46, 2.47, 2.49, 2.53, Measures of Central Tendency for Ungrouped Data p P. 83: 3.1, 3.5, 3.7, odd 3.2 Measures of Dispersion for Ungrouped Data p P. 91: 3.39, odd 3.5 Measures of Position p P. 110: 3.87, odd 3.6 Box-and-Whisker Plot p P. 113: odd 4.1 Experiment, Outcomes and Sample Space p P. 137: odd 4.2 Calculating Probability p P. 143: 4.19, 4.21, odd 4.3 Counting Rule p P. 155: 4.45, 4.49, Marginal and Conditional Probabilities p P. 155: 4.53 (a), 4.55 (a), 4.57 (a) 4.5 Mutually Exclusive Events p P. 155: 4.47 (a), 4.53 (b), 4.55 (b), 4.57 (b) 4.6 Independent versus Dependent Events p P. 155: 4.47 (b), 4.53 (c), 4.55 (c), 4.57 (c), 4.59, Complementary Events p P. 155: 4.47 (c), 4.63, Intersection of Events and the Multiplication Rule p P. 164: 4.70, odd 4.9 Union of Events and the Addition Rule p P. 173:4.105, odd 5.1 Random Variables p P. 190: 5.2, Probability Distributions of a Discrete Random Variable p P. 196: 5.9, 5.14, 5.15, 5.16, 5.17, Mean of a Discrete Random Variable p Standard Deviation of a Discrete Random Variable p P. 204: odd 5.5 Factorials, Combinations, and Permutations p P. 210: odd 5.6 The Binomial Probability Distribution p P. 221: 5.51, 5.53, odd

8 8 Statistics Homework 6.3 The Standard Normal Distribution p P. 263: odd 6.4 Standardizing the Normal Distribution p P. 269: odd 6.5 Applications of the Normal Distribution p P. 274: odd 6.6 Determining the of z and x Values when an Area Under the Normal P. 279: odd Curve is Known p The Normal Approximation to the Binomial Distribution p P. 285: odd 7.2 Sampling and Nonsampling Errors p P. 302: Mean and Standard Deviation of x p P. 305: 7.15, 7.19, Shape of the Sampling Distribution of x p P. 311: odd 7.5 Applications of the Sampling Distribution of x p P. 316: 7.43, odd 9.1 Hypothesis Tests: An Introduction p P. 386: 9.5, 9.7, Hypothesis Tests about μ : σ Known p P. 398: 9.21, 9.23, 9.27, 9.35 (b) 9.41 (b) 9.3 Hypothesis Tests about μ : σ Unknown p P. 408: 9.49, 9.55, 9.61, 9.63 (a), 9.67 (b) 11.1 The Chi-Square Distribution p P. 492: 11.5, A Goodness-of-Fit Test p P. 500: 11.13, odd 11.4 A Test about Independence or Homogeneity p P. 511: odd 13.2 Simple Linear Regression Analysis p P. 568: odd, 13.6 Linear Correlation p P. 587: 13.67, all

NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York

NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: Mathematics COURSE: MAT 2680 TITLE: Differential Equations DESCRIPTION: An introduction to solving ordinary differential

More information

New York City College of Technology Mathematics Department

New York City College of Technology Mathematics Department New York City College of Technology Mathematics Department COURSE CODE: MAT 1190 TITLE: Quantitative Reasoning PREPARED BY: Professors Nadia Benakli, Holly Carley, Ezra Halleck, Grazyna Niezgoda, Katherine

More information

Economic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007)

Economic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007) COURSE DESCRIPTION Title Code Level Semester Credits 3 Prerequisites Post requisites Introduction to Statistics ECON1005 (EC160) I I None Economic Statistics (ECON2006), Statistics and Research Design

More information

Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010

Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different

More information

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive

More information

STAT 360 Probability and Statistics. Fall 2012

STAT 360 Probability and Statistics. Fall 2012 STAT 360 Probability and Statistics Fall 2012 1) General information: Crosslisted course offered as STAT 360, MATH 360 Semester: Fall 2012, Aug 20--Dec 07 Course name: Probability and Statistics Number

More information

New York City College of Technology The City University of New York. Department of Communication Design. COMD 3708 Game Design Concepts II

New York City College of Technology The City University of New York. Department of Communication Design. COMD 3708 Game Design Concepts II New York City College of Technology The City University of New York Department of Communication Design Course Description This course is designed to apply game design theory (MDA), learned in the previous

More information

COURSE OUTLINE FOR ECON-1100 CONSUMER ECONOMICS

COURSE OUTLINE FOR ECON-1100 CONSUMER ECONOMICS New York City College of Technology Social Science Department COURSE CODE: ECON 1100 TITLE: Consumer Economics Class Hours: 3, Credits: 3 COURSE DESCRIPTION: Consumers play a central role in market economies.

More information

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-

More information

Description. Textbook. Grading. Objective

Description. Textbook. Grading. Objective EC151.02 Statistics for Business and Economics (MWF 8:00-8:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 2-6093 Email: kocb@bc.edu Office Hours: by appointment Description This course

More information

NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY Computer Systems Technology Department. COURSE: CST2403 C++ Programming Part 1 ( 4 hours, 3 credits )

NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY Computer Systems Technology Department. COURSE: CST2403 C++ Programming Part 1 ( 4 hours, 3 credits ) 1 NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY Computer Systems Technology Department COURSE: CST2403 C++ Programming Part 1 ( 4 hours, 3 credits ) INSTRUCTOR: OFFICE: E-MAIL: PHONE: OFFICE HOURS: Course Description:

More information

Course Syllabus MATH 110 Introduction to Statistics 3 credits

Course Syllabus MATH 110 Introduction to Statistics 3 credits Course Syllabus MATH 110 Introduction to Statistics 3 credits Prerequisites: Algebra proficiency is required, as demonstrated by successful completion of high school algebra, by completion of a college

More information

Fairfield Public Schools

Fairfield Public Schools Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity

More information

International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics

International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics Lecturer: Mikhail Zhitlukhin. 1. Course description Probability Theory and Introductory Statistics

More information

NEW YORK CITY COLLEGE OF TECHNOLOGY -CUNY

NEW YORK CITY COLLEGE OF TECHNOLOGY -CUNY NEW YORK CITY COLLEGE OF TECHNOLOGY -CUNY Computer Systems Technology Department CST2415 System Administration UNIX/Linux (2 class hours, 2 lab hours, 3 credits) Course Description: This course introduces

More information

I ~ 14J... <r ku...6l &J&!J--=-O--

I ~ 14J... <r ku...6l &J&!J--=-O-- City College of San Francisco Technology-Mediated Course Proposal Course Outline Addendum I. GENERAL DESCRIPTION A. Date B. Department C. Course Identifier D. Course Title E. Addendum Preparer F. Chairperson

More information

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics. Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGraw-Hill/Irwin, 2008, ISBN: 978-0-07-331988-9. Required Computing

More information

Moraine Valley Community College Course Syllabus

Moraine Valley Community College Course Syllabus Moraine Valley Community College Course Syllabus Course Title: Business Statistics Course Number: MTH 212 Semester: Fall 2006 I Faculty Information A. Instructor: Kevin M. Riordan, M.A. B. Office Hours:

More information

Alabama Department of Postsecondary Education

Alabama Department of Postsecondary Education Date Adopted 1998 Dates reviewed 2007, 2011, 2013 Dates revised 2004, 2008, 2011, 2013, 2015 Alabama Department of Postsecondary Education Representing Alabama s Public Two-Year College System Jefferson

More information

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGraw-Hill/Irwin, 2010, ISBN: 9780077384470 [This

More information

New York City College of Technology The City University of New York. Department of Communication Design. COMD 3740 3D Animation & Modeling II

New York City College of Technology The City University of New York. Department of Communication Design. COMD 3740 3D Animation & Modeling II New York City College of Technology The City University of New York Department of Communication Design Course Description This is an intermediate course in computer 3-D modeling, rendering and animation

More information

Chapter 2: Systems of Linear Equations and Matrices:

Chapter 2: Systems of Linear Equations and Matrices: At the end of the lesson, you should be able to: Chapter 2: Systems of Linear Equations and Matrices: 2.1: Solutions of Linear Systems by the Echelon Method Define linear systems, unique solution, inconsistent,

More information

MAT 120 Probability & Statistics Mathematics

MAT 120 Probability & Statistics Mathematics MAT 120 Probability & Statistics Mathematics Catalog Course Description: This course includes the following topics: introductory probability and statistics, including organization of data, sample space

More information

NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY

NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY Computer Systems Technology Department Course: CST2405 System Administration - Windows (2 class hours, 2 lab hours, 3 credits) Course Description: This introductory

More information

A Correlation of. to the. South Carolina Data Analysis and Probability Standards

A Correlation of. to the. South Carolina Data Analysis and Probability Standards A Correlation of to the South Carolina Data Analysis and Probability Standards INTRODUCTION This document demonstrates how Stats in Your World 2012 meets the indicators of the South Carolina Academic Standards

More information

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math

More information

MATH 1332 Contemporary Mathematics I (for Liberal Art Majors) Frank Phillips College

MATH 1332 Contemporary Mathematics I (for Liberal Art Majors) Frank Phillips College MATH 1332 Contemporary Mathematics I (for Liberal Art Majors) Frank Phillips College General Course Information Credit Hours: 3 General Education Core Curriculum Course Prerequisite Completion of MATH

More information

Math 1342 STATISTICS Course Syllabus

Math 1342 STATISTICS Course Syllabus Math 1342 STATISTICS Course Syllabus Instructor: Mahmoud Basharat; E-mail: Please use email within Eagle-Online Alternating email: basharatah@hotmail.com or mahmoud.basharat@hccs.edu. (Please use only

More information

Bachelor's Degree in Business Administration and Master's Degree course description

Bachelor's Degree in Business Administration and Master's Degree course description Bachelor's Degree in Business Administration and Master's Degree course description Bachelor's Degree in Business Administration Department s Compulsory Requirements Course Description (402102) Principles

More information

MAT 282 STATISTICS 3 cr. (3-0) (online sections)

MAT 282 STATISTICS 3 cr. (3-0) (online sections) JOHN A. LOGAN COLLEGE J. Dethrow SM 11 MAT 282 STATISTICS 3 cr. (3-0) (online sections) COURSE DESCRIPTION: MAT 282 is designed to meet the needs of students requiring a statistics course with a college

More information

Mathematics. Probability and Statistics Curriculum Guide. Revised 2010

Mathematics. Probability and Statistics Curriculum Guide. Revised 2010 Mathematics Probability and Statistics Curriculum Guide Revised 2010 This page is intentionally left blank. Introduction The Mathematics Curriculum Guide serves as a guide for teachers when planning instruction

More information

Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics

Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2015 Examinations Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in

More information

Lecture 1: Review and Exploratory Data Analysis (EDA)

Lecture 1: Review and Exploratory Data Analysis (EDA) Lecture 1: Review and Exploratory Data Analysis (EDA) Sandy Eckel seckel@jhsph.edu Department of Biostatistics, The Johns Hopkins University, Baltimore USA 21 April 2008 1 / 40 Course Information I Course

More information

MATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing!

MATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing! MATH BOOK OF PROBLEMS SERIES New from Pearson Custom Publishing! The Math Book of Problems Series is a database of math problems for the following courses: Pre-algebra Algebra Pre-calculus Calculus Statistics

More information

Governors State University College of Business and Public Administration. Course: STAT 361-03 Statistics for Management I (Online Course)

Governors State University College of Business and Public Administration. Course: STAT 361-03 Statistics for Management I (Online Course) Governors State University College of Business and Public Administration Course: STAT 361-03 Statistics for Management I (Online Course) Instructor: Kevin M. Riordan, M.A. Session: Fall Semester 2011 Prerequisite:

More information

Statistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013

Statistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013 Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.1-1.6) Objectives

More information

CHAPTER 1 THE CERTIFIED QUALITY ENGINEER EXAM. 1.0 The Exam. 2.0 Suggestions for Study. 3.0 CQE Examination Content. Where shall I begin your majesty?

CHAPTER 1 THE CERTIFIED QUALITY ENGINEER EXAM. 1.0 The Exam. 2.0 Suggestions for Study. 3.0 CQE Examination Content. Where shall I begin your majesty? QReview 1 CHAPTER 1 THE CERTIFIED QUALITY ENGINEER EXAM 1.0 The Exam 2.0 Suggestions for Study 3.0 CQE Examination Content Where shall I begin your majesty? The White Rabbit Begin at the beginning, and

More information

ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences

ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences ! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COS-MATH-252 Probability and Statistics II 1.0 Course designations and approvals:

More information

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number 1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number A. 3(x - x) B. x 3 x C. 3x - x D. x - 3x 2) Write the following as an algebraic expression

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Final Exam Review MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) A researcher for an airline interviews all of the passengers on five randomly

More information

THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS. Fall 2013

THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS. Fall 2013 THE UNIVERSITY OF TEXAS AT TYLER COLLEGE OF NURSING 1 COURSE SYLLABUS NURS 5317 STATISTICS FOR HEALTH PROVIDERS Fall 2013 & Danice B. Greer, Ph.D., RN, BC dgreer@uttyler.edu Office BRB 1115 (903) 565-5766

More information

MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES

MASTER COURSE SYLLABUS-PROTOTYPE PSYCHOLOGY 2317 STATISTICAL METHODS FOR THE BEHAVIORAL SCIENCES MASTER COURSE SYLLABUS-PROTOTYPE THE PSYCHOLOGY DEPARTMENT VALUES ACADEMIC FREEDOM AND THUS OFFERS THIS MASTER SYLLABUS-PROTOTYPE ONLY AS A GUIDE. THE INSTRUCTORS ARE FREE TO ADAPT THEIR COURSE SYLLABI

More information

Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition

Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Online Learning Centre Technology Step-by-Step - Excel Microsoft Excel is a spreadsheet software application

More information

Basic Business Statistics

Basic Business Statistics Basic Business Statistics Dr. Daniel Murgo QMB 2100 Basic Business Statistics - Summer B 2016 Section 1 (Reference 905538) Meeting Times Class lectures will take place on Tuesdays and Thursdays from 1:40PM

More information

STA-201-TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance

STA-201-TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance Principles of Statistics STA-201-TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis

More information

Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini

Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building

More information

School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2

School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2 CCBC Essex School of Mathematics and Science MATH 153 Introduction to Statistical Methods Section: WE1 & WE2 CLASSROOM LOCATION: SEMESTER: Fall 2009 INSTRUCTOR: DONNA TUPPER OFFICE LOCATION: F-413 (or

More information

RUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY

RUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY RUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY I. INTRODUCTION According to the Common Core Standards (2010), Decisions or predictions are often based on data numbers

More information

A and B This represents the probability that both events A and B occur. This can be calculated using the multiplication rules of probability.

A and B This represents the probability that both events A and B occur. This can be calculated using the multiplication rules of probability. Glossary Brase: Understandable Statistics, 10e A B This is the notation used to represent the conditional probability of A given B. A and B This represents the probability that both events A and B occur.

More information

INTRODUCTORY STATISTICS

INTRODUCTORY STATISTICS INTRODUCTORY STATISTICS FIFTH EDITION Thomas H. Wonnacott University of Western Ontario Ronald J. Wonnacott University of Western Ontario WILEY JOHN WILEY & SONS New York Chichester Brisbane Toronto Singapore

More information

MATH ADVISEMENT GUIDE

MATH ADVISEMENT GUIDE MATH ADVISEMENT GUIDE Recommendations for math courses are based on your placement results, degree program and career interests. Placement score: MAT 001 or MAT 00 You must complete required mathematics

More information

RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS

RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 111H STATISTICS II HONORS I. Basic Course Information A. Course Number and Title: MATH 111H Statistics II Honors B. New or Modified Course:

More information

CLARKSON SECONDARY SCHOOL. Course Name: Mathematics of Data Management Grade 12 University

CLARKSON SECONDARY SCHOOL. Course Name: Mathematics of Data Management Grade 12 University CLARKSON SECONDARY SCHOOL Course Code: MDM 4U Prerequisite: Functions, Grade 11, University Preparation, (MCR 3U0) or Functions and Applications, Grade 11, University/College Preparation, (MCF 3M0) Material

More information

MTH 140 Statistics Videos

MTH 140 Statistics Videos MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative

More information

Springfield Technical Community College School of Mathematics, Sciences & Engineering Transfer

Springfield Technical Community College School of Mathematics, Sciences & Engineering Transfer Springfield Technical Community College School of Mathematics, Sciences & Engineering Transfer Department: Mathematics Course Title: Algebra 2 Course Number: MAT-097 Semester: Fall 2015 Credits: 3 Non-Graduation

More information

Probability and Statistics Vocabulary List (Definitions for Middle School Teachers)

Probability and Statistics Vocabulary List (Definitions for Middle School Teachers) Probability and Statistics Vocabulary List (Definitions for Middle School Teachers) B Bar graph a diagram representing the frequency distribution for nominal or discrete data. It consists of a sequence

More information

430 Statistics and Financial Mathematics for Business

430 Statistics and Financial Mathematics for Business Prescription: 430 Statistics and Financial Mathematics for Business Elective prescription Level 4 Credit 20 Version 2 Aim Students will be able to summarise, analyse, interpret and present data, make predictions

More information

The Partnership for the Assessment of College and Careers (PARCC) Acceptance Policy Adopted by the Illinois Council of Community College Presidents

The Partnership for the Assessment of College and Careers (PARCC) Acceptance Policy Adopted by the Illinois Council of Community College Presidents The Partnership for the Assessment of College and Careers (PARCC) Acceptance Policy Adopted by the Illinois Council of Community College Presidents This policy was developed with the support and endorsement

More information

South Carolina College- and Career-Ready (SCCCR) Probability and Statistics

South Carolina College- and Career-Ready (SCCCR) Probability and Statistics South Carolina College- and Career-Ready (SCCCR) Probability and Statistics South Carolina College- and Career-Ready Mathematical Process Standards The South Carolina College- and Career-Ready (SCCCR)

More information

KEANSBURG SCHOOL DISTRICT KEANSBURG HIGH SCHOOL Mathematics Department. HSPA 10 Curriculum. September 2007

KEANSBURG SCHOOL DISTRICT KEANSBURG HIGH SCHOOL Mathematics Department. HSPA 10 Curriculum. September 2007 KEANSBURG HIGH SCHOOL Mathematics Department HSPA 10 Curriculum September 2007 Written by: Karen Egan Mathematics Supervisor: Ann Gagliardi 7 days Sample and Display Data (Chapter 1 pp. 4-47) Surveys and

More information

67 204 Mathematics for Business Analysis I Fall 2007

67 204 Mathematics for Business Analysis I Fall 2007 67 204 Mathematics for Business Analysis I Fall 2007 Instructor Asõkā Rāmanāyake Office: Swart 223 Office Hours: Monday 12:40 1:40 Wednesday 8:00 9:00 Thursday 9:10 11:20 If you cannot make my office hours,

More information

NEW YORK CITY COLLEGE OF TECHNOLOGY CITY UNIVERSITY OF NEW YORK HUMAN SERVICES DEPARTMENT (718) 260-5135

NEW YORK CITY COLLEGE OF TECHNOLOGY CITY UNIVERSITY OF NEW YORK HUMAN SERVICES DEPARTMENT (718) 260-5135 FALL 2012/ SPRING 2013/SUMMER 2013 NEW YORK CITY COLLEGE OF TECHNOLOGY CITY UNIVERSITY OF NEW YORK HUMAN SERVICES DEPARTMENT (718) 260-5135 HUS4804: MANAGEMENT CONCEPTS IN HUMAN SERVICES Section Number:

More information

AP Statistics: Syllabus 1

AP Statistics: Syllabus 1 AP Statistics: Syllabus 1 Scoring Components SC1 The course provides instruction in exploring data. 4 SC2 The course provides instruction in sampling. 5 SC3 The course provides instruction in experimentation.

More information

CERTIFIED QUALITY ENGINEER (CQE) BODY OF KNOWLEDGE

CERTIFIED QUALITY ENGINEER (CQE) BODY OF KNOWLEDGE CERTIFIED QUALITY ENGINEER (CQE) BODY OF KNOWLEDGE The topics in this Body of Knowledge include subtext explanations and the cognitive level at which the questions will be written. This information will

More information

Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits)

Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits) Course Syllabus STA301 Statistics for Economics and Business (6 ECTS credits) Instructor: Luc Hens Telephone: +32 2 629 11 92 e-mail: luc.hens@vub.ac.be Web site: http://homepages.vub.ac.be/~lmahens/ Course

More information

COURSE SYLLABUS -----------------------------------------------------------------------------------

COURSE SYLLABUS ----------------------------------------------------------------------------------- Last Reviewed by: Leslie Wurst Date Approved: Date Revised: Fall 2012 COURSE SYLLABUS Syllabus for: MATH 1010 Math for General Studies Former Course and Title: Former Quarter Course(s): Mat 1260 Contemporary

More information

NEW YORK CITY COLLEGE OF TECHNOLOGY City University of New York

NEW YORK CITY COLLEGE OF TECHNOLOGY City University of New York NEW YORK CITY COLLEGE OF TECHNOLOGY City University of New York Health Services Administration Program HSA 3630-2769 Health Care Finance and Accounting Management COURSE OUTLINE Professor Josef Bohm Revised

More information

MATH 1314 College Algebra Frank Phillips College

MATH 1314 College Algebra Frank Phillips College MATH 1314 College Algebra Frank Phillips College General Course Information Credit Hours: 3 General Education Core Curriculum Course Prerequisite Completion of MATH 0303 with a grade of C or better or

More information

Big Ideas in Mathematics

Big Ideas in Mathematics Big Ideas in Mathematics which are important to all mathematics learning. (Adapted from the NCTM Curriculum Focal Points, 2006) The Mathematics Big Ideas are organized using the PA Mathematics Standards

More information

Lake-Sumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours:

Lake-Sumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours: Lake-Sumter Community College Course Syllabus Course / Prefix Number: STA 2023 Course Title: Elementary Statistics I CRN: 10105 (T TH) 10106 (M W) Credit: 3 Term: Fall 2011 Course Catalog Description:

More information

99.37, 99.38, 99.38, 99.39, 99.39, 99.39, 99.39, 99.40, 99.41, 99.42 cm

99.37, 99.38, 99.38, 99.39, 99.39, 99.39, 99.39, 99.40, 99.41, 99.42 cm Error Analysis and the Gaussian Distribution In experimental science theory lives or dies based on the results of experimental evidence and thus the analysis of this evidence is a critical part of the

More information

Street Address: 1111 Franklin Street Oakland, CA 94607. Mailing Address: 1111 Franklin Street Oakland, CA 94607

Street Address: 1111 Franklin Street Oakland, CA 94607. Mailing Address: 1111 Franklin Street Oakland, CA 94607 Contacts University of California Curriculum Integration (UCCI) Institute Sarah Fidelibus, UCCI Program Manager Street Address: 1111 Franklin Street Oakland, CA 94607 1. Program Information Mailing Address:

More information

Indiana Academic Standards Mathematics: Probability and Statistics

Indiana Academic Standards Mathematics: Probability and Statistics Indiana Academic Standards Mathematics: Probability and Statistics 1 I. Introduction The college and career ready Indiana Academic Standards for Mathematics: Probability and Statistics are the result of

More information

NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY Computer Systems Technology Department

NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY Computer Systems Technology Department NEW YORK CITY COLLEGE OF TECHNOLOGY/CUNY Computer Systems Technology Department COURSE: CST1201 Programming Fundamentals (2 class hours, 2 lab hours, 3 credits) Course Description: This course is an intensive

More information

IE 3255 Syllabus-Spring 2007 1

IE 3255 Syllabus-Spring 2007 1 IE 3255. Statistical Quality Control 3.0 cr; prerequisite: Stat 3611, BSIE or BSME candidate, or Instructor Consent Statistical quality control in manufacturing; modeling, process quality, control charts,

More information

MATH 2320 Differential Equations Frank Phillips College

MATH 2320 Differential Equations Frank Phillips College MATH 2320 Differential Equations Frank Phillips College General Course Information Credit Hours: 3 General Education Core Curriculum Course Prerequisite Completion of MATH 2315 with a grade of C or better.

More information

MBAD 5141 Quantitative Analysis in Business NEW. Syllabus

MBAD 5141 Quantitative Analysis in Business NEW. Syllabus Syllabus MBAD 5141 Quantitative Analysis in Business Oper3200 and MBAD 5141 Are the Same Course Instructor: Dr.W.Douglas Douglas Cooper Office: 275A Friday Bldg. Phone: 704.687.7686 EMail: wdcooper@uncc.edu

More information

Study Guide for the Final Exam

Study Guide for the Final Exam Study Guide for the Final Exam When studying, remember that the computational portion of the exam will only involve new material (covered after the second midterm), that material from Exam 1 will make

More information

II. DISTRIBUTIONS distribution normal distribution. standard scores

II. DISTRIBUTIONS distribution normal distribution. standard scores Appendix D Basic Measurement And Statistics The following information was developed by Steven Rothke, PhD, Department of Psychology, Rehabilitation Institute of Chicago (RIC) and expanded by Mary F. Schmidt,

More information

COMMON CORE STATE STANDARDS FOR

COMMON CORE STATE STANDARDS FOR COMMON CORE STATE STANDARDS FOR Mathematics (CCSSM) High School Statistics and Probability Mathematics High School Statistics and Probability Decisions or predictions are often based on data numbers in

More information

Intro to Statistics 8 Curriculum

Intro to Statistics 8 Curriculum Intro to Statistics 8 Curriculum Unit 1 Bar, Line and Circle Graphs Estimated time frame for unit Big Ideas 8 Days... Essential Question Concepts Competencies Lesson Plans and Suggested Resources Bar graphs

More information

Mathematics Department Course outline Statistics for Social Science 201-401-DW

Mathematics Department Course outline Statistics for Social Science 201-401-DW Mathematics Department Course outline Statistics for Social Science 201-401-DW COURSE OBJECTIVES To introduce basic statistical concepts to social science students. For details, see Dawson Social Science

More information

Florida State College at Jacksonville MAC 1105: College Algebra Summer Term 2011 Reference: 346846 MW 12:00 PM 1:45 PM, South Campus Rm: G-314

Florida State College at Jacksonville MAC 1105: College Algebra Summer Term 2011 Reference: 346846 MW 12:00 PM 1:45 PM, South Campus Rm: G-314 Florida State College at Jacksonville MAC 1105: College Algebra Summer Term 2011 Reference: 346846 MW 12:00 PM 1:45 PM, South Campus Rm: G-314 General Information: Instructor: Ronald H. Moore Office Hours:

More information

SUFFOLK COMMUNITY COLLEGE Ammerman Campus COURSE OUTLINE

SUFFOLK COMMUNITY COLLEGE Ammerman Campus COURSE OUTLINE 1 SUFFOLK COMMUNITY COLLEGE Ammerman Campus COURSE OUTLINE COURSE TITLE Statistics I CATALOG NO MAT 103 CRN 21102, 22172, 23687 PREREQUISITE MAT007-Algebra I or equivalent INSTRUCTOR Professor Jane-Marie

More information

Education & Training Plan. Accounting Math Professional Certificate Program with Externship

Education & Training Plan. Accounting Math Professional Certificate Program with Externship Office of Professional & Continuing Education 301 OD Smith Hall Auburn, AL 36849 http://www.auburn.edu/mycaa Contact: Shavon Williams 334-844-3108; szw0063@auburn.edu Auburn University is an equal opportunity

More information

BNG 202 Biomechanics Lab. Descriptive statistics and probability distributions I

BNG 202 Biomechanics Lab. Descriptive statistics and probability distributions I BNG 202 Biomechanics Lab Descriptive statistics and probability distributions I Overview The overall goal of this short course in statistics is to provide an introduction to descriptive and inferential

More information

MT120-ES: Topics in Applied College Math (4 credits; 100% online) Syllabus Fall 2013

MT120-ES: Topics in Applied College Math (4 credits; 100% online) Syllabus Fall 2013 Contact Information for Professor Wood MT120-ES: Topics in Applied College Math (4 credits; 100% online) Syllabus Fall 2013 Phone: (603) 271-6484 x4341 E-mail: mwood@ccsnh.edu Office: Sweeney Hall, Room

More information

MATH 1324 Mathematics for Business & Social Sciences Frank Phillips College

MATH 1324 Mathematics for Business & Social Sciences Frank Phillips College MATH 1324 Mathematics for Business & Social Sciences Frank Phillips College General Course Information Credit Hours: 3 General Education Core Curriculum Course Prerequisite Placement by an approved TSI

More information

Instructor Contact Information: bon@mathfour.com, 713-557-8048, @mathfour, http://facebook.com/boncrowder

Instructor Contact Information: bon@mathfour.com, 713-557-8048, @mathfour, http://facebook.com/boncrowder Instructor: Bon Crowder Mathematics Spring Branch Math 1324: Finite Mathematics with Applications CRN 77778 Spring 2014 Room 311 11am - 12:30 TTh 3 hour lecture course / 48 hours per semester/ 15 weeks

More information

List of Examples. Examples 319

List of Examples. Examples 319 Examples 319 List of Examples DiMaggio and Mantle. 6 Weed seeds. 6, 23, 37, 38 Vole reproduction. 7, 24, 37 Wooly bear caterpillar cocoons. 7 Homophone confusion and Alzheimer s disease. 8 Gear tooth strength.

More information

SPSS Tests for Versions 9 to 13

SPSS Tests for Versions 9 to 13 SPSS Tests for Versions 9 to 13 Chapter 2 Descriptive Statistic (including median) Choose Analyze Descriptive statistics Frequencies... Click on variable(s) then press to move to into Variable(s): list

More information

Class Room Units Math 15 CRN 73008 Introductory Statistics AC-304 4 Attendance Days (Hybrid Course)

Class Room Units Math 15 CRN 73008 Introductory Statistics AC-304 4 Attendance Days (Hybrid Course) Class Room Units Math 15 CRN 73008 Introductory Statistics AC-304 4 Prerequisite Math 03 with a grade of C or better. Attendance Days (Hybrid Course) Wednesday, 7:00 PM to 8:50 PM Math 15 CRN 73008 is

More information

COURSE CO/PREREQUISITES: PSY 1101 (Introduction to Psychology) and ENG 1101 (English Composition I)

COURSE CO/PREREQUISITES: PSY 1101 (Introduction to Psychology) and ENG 1101 (English Composition I) PSY 3405 Course Outline 1 NEW YORK CITY COLLEGE OF TECHNOLOGY SOCIAL SCIENCE DEPARTMENT PSYCHOLOGY DISCIPLINE MOST RECENT REVISION: Dr. Eric M. Rodriguez 04/15/2012 COURSE CODE: PSY 3405 COURSE NAME: Health

More information

Lecture 2: Descriptive Statistics and Exploratory Data Analysis

Lecture 2: Descriptive Statistics and Exploratory Data Analysis Lecture 2: Descriptive Statistics and Exploratory Data Analysis Further Thoughts on Experimental Design 16 Individuals (8 each from two populations) with replicates Pop 1 Pop 2 Randomly sample 4 individuals

More information

Bachman, R., & Schutt, R. K. (2014). The Practice of Research in Criminology and Criminal Justice (5th ed.). Los Angeles, CA: Sage.

Bachman, R., & Schutt, R. K. (2014). The Practice of Research in Criminology and Criminal Justice (5th ed.). Los Angeles, CA: Sage. Research Methods and Statistical Analysis in Criminal Justice CRJU 3002 B Department of Criminal Justice College of Arts & Letters University of North Georgia Instructor: Dr. Samantha Balemba Email: samantha.balemba@ung.edu

More information

Service courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics.

Service courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics. Course Catalog In order to be assured that all prerequisites are met, students must acquire a permission number from the education coordinator prior to enrolling in any Biostatistics course. Courses are

More information

Exploratory Data Analysis

Exploratory Data Analysis Exploratory Data Analysis Johannes Schauer johannes.schauer@tugraz.at Institute of Statistics Graz University of Technology Steyrergasse 17/IV, 8010 Graz www.statistics.tugraz.at February 12, 2008 Introduction

More information

MATH. ALGEBRA I HONORS 9 th Grade 12003200 ALGEBRA I HONORS

MATH. ALGEBRA I HONORS 9 th Grade 12003200 ALGEBRA I HONORS * Students who scored a Level 3 or above on the Florida Assessment Test Math Florida Standards (FSA-MAFS) are strongly encouraged to make Advanced Placement and/or dual enrollment courses their first choices

More information

PCHS ALGEBRA PLACEMENT TEST

PCHS ALGEBRA PLACEMENT TEST MATHEMATICS Students must pass all math courses with a C or better to advance to the next math level. Only classes passed with a C or better will count towards meeting college entrance requirements. If

More information

Quantitative Methods for Finance

Quantitative Methods for Finance Quantitative Methods for Finance Module 1: The Time Value of Money 1 Learning how to interpret interest rates as required rates of return, discount rates, or opportunity costs. 2 Learning how to explain

More information