# AP Statistics: Syllabus 1

Size: px
Start display at page:

Transcription

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. 5 Page(s) SC4 The course provides instruction in anticipating patterns. 6 7 SC5 The course provides instruction in statistical inference. 7 SC6 The course draws connections between all aspects of the statistical process including design, 2 analysis, and conclusions. SC7 The course teaches students how to communicate methods, results and interpretations using the 8 vocabulary of statistics. SC8 The course teaches students how to use graphing calculators to of 5 6 statistical understanding assessing models, and/or analyzing data. SC9 The course teaches students how to use graphing calculators, tables, or computer software to 6 through performing simulations. SC10 The course 2, 4 5, 7 8 1

2 Overview of AP Statistics Course Design One of the greatest differences between teaching statistics and teaching most other mathematics courses is the ease with which a teacher may vary instruction and activities. In the AP Statistics classes, students sit at tables that are pushed together to form clusters containing four to six students. Fostering important classroom discussion pertaining to topics such as methodology and inferences is supported by students working together in small groups. Teaching materials for the course come from textbooks, classroom lectures, newspapers, journals, medical newsletters, videos, and the World Wide Web. At the start of the school year, students receive a list of formulas and tables from the course description book. These handouts are used throughout the year for homework and tests. Students also have access to a classroom set of TI-83 calculators. Students who do not own a calculator use the ones provided by the school for classwork and then check them out after school for home use. Approximately twice a semester, students float into the Computer Math Lab to complete statistics computer assignments. There is one demonstration computer available for use in the classroom. MINITAB statistical software (Minitab) is the software package used for the computer labs. [SC10] Projects Projects are also a major part of the course. Students complete three to five projects each semester. Some of these projects are completed during class time, whereas others are completed outside of class. The library has computers for student use that have Minitab installed. These projects require students to design surveys and experiments, gather data, analyze the data numerically and graphically, and apply inferential statistics to draw conclusions for a population. Students write formal reports on their projects using statistical language. [SC6] SC6 The course draws connections between all aspects of the statistical process including design, analysis, and conclusions. Remarks The single thing that stands out in my mind about teaching statistics is how the unexpected always happens. Nothing is predictable in the statistics classroom. I have become more flexible in the classroom and more comfortable with not knowing the answers to all of the questions posed by students. I find networking with other teachers or professors and exchanging materials with other teachers the most helpful resource there is. I work harder as a teacher than I have ever worked before, but I find the rewards of this extra work worth the effort. Primary Textbook, References, and Resource Materials (Noted with the following letters in the Course Outline) T = Moore, David S., Bruce Craig, and George P. McCabe. Introduction to the Practice of Statistics, 4th ed. New York: W. H. Freeman, V = Against All Odds: Inside Statistics. Developed by David S. Moore. Washington, D.C.: The Annenberg/CPB Collection, videocassettes. Available at learner.org/resources/series65.html. 2

3 C = The North Carolina School of Science and Mathematics, Department of Mathematics and Computer Science. Contemporary Precalculus through Application, 2nd ed. Chicago: Everyday Learning, POD = Peck, Roxy, Chris Olsen, and Jay Devore. Introduction to Statistics and Data Analysis, 2nd ed. Pacific Grove, Calif.: Duxbury, WK = Rossman, Allan J., and Beth Chance. Workshop Statistics: Discovery with Data, 2nd ed. New York: Key College, TI = Texas Instruments TI-83 Plus graphing calculator. O = Other resource materials used in the classroom come from articles in newspapers, journals, and the World Wide Web. Students often bring in data sets they collect or download from the Web. W = Worksheets for reinforcement, introduction of concepts, or review. = Homework problems assigned from the Moore and McCabe textbook. Some of the problems listed are worked in class as discussion problems. Course Outline and Content Fall Semester Week 1 Introduction to Statistics. Introduction to Statistics. Students read about experimental design, ethics in medical testing and experiments, and the role of statistics in medicine and society. Essay: The Biggest Public Health Experiment Ever: The 1954 Field Trial of the Salk Poliomyelitis Vaccine. Quiz. Polio article and assigned readings. Readings from the Harvard Women s Newsletter and the newspaper PBS Video: Paralyzing Fear: The Story of Polio in America 3

4 Weeks 2 3 Chapter 1 1, 3, 6, 8, 10, 14, 16, 18, 21, 24, 25, 27, 30, 31, 41, 43, 44, 58, 64, 62, 68 Weeks 4 5 Chapter 1 72, 73, 75, 77, 79, 81, 83, 85, 87, 88, 89, 95, , 104, 110, 112, 113, 114 Week 6 Chapter 2 1, 3, 5, 7, 5, 20, 24, 26, 30 Exploring Data. [SC1] Graphical displays of distributions of univariate data: boxplots, stemplots, dotplots, histograms, frequency charts, cumulative frequency charts, and bar charts. Stress center, spread, and shape. Summarizing distributions of univariate data. Mean, median, mode, range, interquartile range, quartiles, standard deviation, percentiles, standardized scores (z-scores). Comparing distributions of univariate data. Compare center, spread, clusters, gaps, outliers, and shapes within groups and between dotplots, stemplots, and boxplots. Approximately two days are spent in instruction with the TI-83 calculator. Students use data generated in the class for classroom exercises. Activity: Class data-collecting activity of studentmade rockets and Tootsie Pops : How long to the center? Write-ups of the activities are due the end of week 4. Quiz. Standard Deviation and Variance. Properties of standard deviation and the effects of changing measurements and linear transformations on summary measures. The normal distribution and Chebyshev s theorem. Measuring position, quartiles, percentiles, standardized scores (z-scores). Using the normal distribution as a model for measurement. Normal quartile plots. Students spend two days in the computer lab standardizing data, graphing normal quartile plots, and interpreting information from the graphical and numerical displays of data. [SC10] Video: Normal Distributions and Normal Calculations. Scatterplots and Correlation. Explanatory and response variables, analyzing patterns in scatterplots, time series, correlation, and linearity. Activity: Matching Descriptions to Scatterplots. Computer Lab: Use the Internet to browse websites for Java applets on LSRL, correlation, and scatterplots. T pages 1 64 WK Worksheet on cumulative frequency charts and matching graphs to data: pages W Practice AP problem; 1997 test, Q-1 T Pages V 4, 5 T pages SC1 The course provides instruction in exploring data. 4

5 Weeks 7 9 Chapter 2 35, 39, 41, 47, 9, 51, 55, 59, 63, 75, 77 Weeks Chapter , 87, 91, 92, 96, 98, 100, 102, 104, 106 Weeks Chapter 3 1 8, 9 14, 17, 18, 20, 21, 23, 27, 31, 33, 34, 35, 39, 41, 43, 44, 45 Bivariate Data. Least squares regression line, residual plots, outliers, influential points, and transformations to achieve linearity. Approximately two days are spent in instruction with the TI-83 calculator. Two days are spent in the classroom for a data collection and curve-fitting lab. Pairs of students work together to generate three sets of bivariate data. Students use calculators and computers to write equations of the curves that best model their data. [SC8 & SC10] Project: A data collection project is due at the end of the 9th week. Videos: Models for Growth, Describing Relationships, Correlation. Relations in Categorical Data. Analyzing two-way tables, Simpson s paradox, conditional relative frequencies, and association. The concept of cause and effect, anecdotal evidence, observational studies, and experiments. Video: The Question of Causation. Two-day Minitab lab on calculating the least squares regression line, dotplots, boxplots, and scatterplots. Students explore the effect of outliers and influential points. [SC10] (Data from Old Faithful geyser in Yellowstone Park.) Lab due at the end of week 11. Experimental Design, Sampling, and Randomness. [SC2 & SC3] Different methods of data collection, simple random sampling, sampling error, bias, stratifying, confounding, blocking, and replication. Two days are spent on class activities to develop an understanding of randomness and sampling. Random Rectangles. Videos: Experimental Design, Blocking and Sampling. A project on writing a questionnaire and conducting a survey is due at the end of the 14th week. T pages C pages W Curve-fitting problems V 7, 8, 9 T pages V 11 T pages V 12, 13 W Practice AP problems: 1999, Q-3; 2000, Q-5 SC8 The course teaches students how to use graphing calculators to assessing models, and/or analyzing data. SC2 The course provides instruction in sampling. SC3 The course provides instruction in experimentation. 5

6 Week 15 Chapter 4 12, 13, 15, 17, 21 25, 30, 36 Weeks Chapter 4 39, 40, 42, 44, 46, 48, 51, 52, 55, 56, 59, 61, 65, 69, 75, 77, 78, 80, 82, 83, 91, 92, 96 Week 18 Chapter 5 1 5, 7, 9, 19, 21, 11 15, 17, 8, 9, 10, 21, 22 Probability. Basic probability rules. [SC4 & SC9] Simulations as a means to answer probability questions. Two days are spent on class activities to develop ideas of probabilities and estimates of proportions. Spinning Pennies and Estimating Proportions: How Accurate Are the Polls? Quiz. Random Variables and Sampling Distributions. [SC4 & SC9] Simulation of probability distributions and sampling distributions. Expected values and standard deviation of a random variable. Mean and standard deviation for sums and differences of independent random variables. One day is spent in class using the TI-83 to develop rules for the mean and variance of independent random variables and probability distributions. [SC8] Video: Samples and Surveys. Activity: A lottery is run every day for one week. The Texas lottery model is used, and prizes are awarded. Simulating Distributions. [SC4] Binomial probabilities, binomial distributions, normal approximation to the binomial distribution. Law of large numbers. One day is spent in class using the TI-83 calculator to learn how to use PDF and CDF functions and to develop the conditions for the normal approximation to the binomial distribution. [SC8] T pages W Practice AP problems: 1999, Q-5, work by simulation; 2001, Q-3 T pages W Practice probability problems using tree diagrams V 14 T pages SC4 The course provides instruction in anticipating patterns. SC9 The course teaches students how to use graphing calculators, tables, or computer software to enhance the development of statistical understanding through performing simulations. SC8 The course teaches students how to use graphing calculators to assessing models, and/or analyzing data. 6

7 Spring Semester Weeks 1 3 Chapter 5 25, 27, 29, 33, 35, 37, 39, 41, 43, 44, 67, 64, 66, 69 Weeks 4 6 Chapter 6 1 3, 5 7, 11, 13, 15, 17, 22, 24, 26 28, 31, 33, 35, 36, 38, 39, 40 45, 46, 49, 53 59, 75, 76, 78 Weeks 7 8 Chapter 8 1, 2, 4, 9, 11, 13, 19, 23, 25, 27 34, 35, 37, 42, 45, 47, 51, 52, 53, Simulating Distributions. [SC4] Binomial probabilities, binomial distribution, normal approximation for counts and proportions, geometric distributions and probabilities associated with geometric distributions, sampling distribution of a sample mean, central limit theorem. Activity: Cents and the Central Limit Theorem Two-day Minitab lab on sampling distributions and the central limit theorem. Write-up due the end of week 3. [SC10] Video: Binomial Distribution, The Sample Mean and Control Charts. Confidence Intervals. [SC5] Estimating population means, critical values, margin of error, and sample size. Hypothesis testing. Null and alternative hypotheses, p values, statistical significance, z test for population mean, confidence intervals, and two-sided tests. Type I and Type II errors, power, and power curves. Statistical significance, practical significance, and data snooping. Two days are spent on class activities developing the idea of confidence intervals. The candy Skittles is used for CI, Introduction to Hypothesis Testing. Video: Confidence Intervals, Significance Tests. Inference for a Single Proportion. Large-sample inference for a population proportion, confidence interval for a population proportion, sample size, and margin of error. Comparing two proportions. Confidence intervals for the difference between two proportions, significance tests for comparing two proportions, pooled estimate of p. Video: Inference for Proportions. T pages ; pages POD pages W Geometric distributions V 17, 18 T pages POD pages ; pages W Type I and Type II errors, power V 19, 20 T V 23 SC4 The course provides instruction in anticipating patterns. SC5 The course provides instruction in statistical inference. 7

8 SC7 The course Weeks 9 11 Chapter 7 1 4, 6 10, 11 15, 19, 25, 29, 35, 37, 38, 43 45, 49, 51 53, 61, 64, 66, 71, 100, 101, 108 Weeks Chapter 9 1, 2, 3, 17, 7, 19, 21 Weeks Chapter 10 7, 8, 10, 19 Week 16 Weeks Week 19 Final Exam The distribution, standard error, one-sample t procedures, matched-pairs t procedures. Comparison of two means, two-sample z statistic, two-sample independent t procedure. Activity: Data collected to practice experimental design and run tests of significance using onesample t procedures, matched-pairs t procedures, and two independent t procedures for means. Write-up including methods, results, and interpretations due at the end of week 10. [SC7] Video: Inference for One Mean, Comparing Two Means. Project: Analysis of a research article from a peerreviewed research journal is due at the end of week 12. Students are required to have the topic of their end-of-semester project selected by the end of week 12. Contingency and Two-Way Tables. Organizing relations in two-way tables, chi-square test for goodness of fit, homogeneity of proportions, and independence (one- and two-way tables). Activity: M&Ms are used to test x2 goodness of fit. Video: Inference for Two-Way Tables. Inference for Regression. Simple linear regression model, estimating regression parameters, confidence intervals and inference for the slope, prediction, point estimators, and confidence interval for a future observation. Video: Inference for Relationships. One-day computer lab: Inference on slope and confidence and prediction intervals for the LSRL. Time is also spent reading computer and calculator output for the LSRL. [SC10] Review and Prepare for the AP Exam. Students must have their data collected for their semester project by the end of week 16. Students spend time in class and in the computer lab working together on their end-of-semester project. Final Exam. The last six weeks grade is heavily weighted toward the end-of-semester project and AP review problems. T pages W Sign test V 21, 22 T W Goodness-of-fit problems V 24 T POD , 3, 4, 5, 6, 15, 18, 19, 20, 21, 23, 25, 29, 32, 33 V 25 W Review packet for the AP Exam teaches students how to communicate methods, results and interpretations using the vocabulary of statistics. 8

9 Notes: Not all videos listed are shown during class time. Often students take the videos home to review for class or a test. The listed textbook homework problems reflect the order in which the problems are assigned in class. The following topics are not specifically mentioned in the course outline. However, these are integrated into the course as needed: Census Observational Study Cluster Sampling Treatments Control Groups Experimental Units Placebo Effect Blinding Generalizability of Results 9

### 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

### 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

### 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

### 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-

### 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

### 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

### 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

### 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

### How To Write A Data Analysis

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

### UNIT 1: COLLECTING DATA

Core Probability and Statistics Probability and Statistics provides a curriculum focused on understanding key data analysis and probabilistic concepts, calculations, and relevance to real-world applications.

### MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS

MATH 140 HYBRID INTRODUCTORY STATISTICS COURSE SYLLABUS Instructor: Mark Schilling Email: mark.schilling@csun.edu (Note: If your CSUN email address is not one you use regularly, be sure to set up automatic

### 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

### 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

### 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

### 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:

### Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization. Learning Goals. GENOME 560, Spring 2012

Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization GENOME 560, Spring 2012 Data are interesting because they help us understand the world Genomics: Massive Amounts

### 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:

### Geostatistics Exploratory Analysis

Instituto Superior de Estatística e Gestão de Informação Universidade Nova de Lisboa Master of Science in Geospatial Technologies Geostatistics Exploratory Analysis Carlos Alberto Felgueiras cfelgueiras@isegi.unl.pt

### 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.

### 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

### 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

### 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)

### 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

### Applied Statistics and Data Analysis

Applied Statistics and Data Analysis Rick Cleary, Babson College John Gabrosek, Grand Valley State University Patti Frazer Lock, Saint Lawrence University, chair Mary Parker, Austin Community College Allan

### 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:

### 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

### Teaching Statistics with Fathom

Teaching Statistics with Fathom UCB Extension X369.6 (2 semester units in Education) COURSE DESCRIPTION This is a professional-level, moderated online course in the use of Fathom Dynamic Data software

### This curriculum is part of the Educational Program of Studies of the Rahway Public Schools. ACKNOWLEDGMENTS

CURRICULUM FOR STATISTICS & PROBABILITY GRADES 11 & 12 This curriculum is part of the Educational Program of Studies of the Rahway Public Schools. ACKNOWLEDGMENTS Christine H. Salcito, Director of Curriculum

### 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:

### 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

### 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

### Exercise 1.12 (Pg. 22-23)

Individuals: The objects that are described by a set of data. They may be people, animals, things, etc. (Also referred to as Cases or Records) Variables: The characteristics recorded about each individual.

### The Comparisons. Grade Levels Comparisons. Focal PSSM K-8. Points PSSM CCSS 9-12 PSSM CCSS. Color Coding Legend. Not Identified in the Grade Band

Comparison of NCTM to Dr. Jim Bohan, Ed.D Intelligent Education, LLC Intel.educ@gmail.com The Comparisons Grade Levels Comparisons Focal K-8 Points 9-12 pre-k through 12 Instructional programs from prekindergarten

### AP STATISTICS REVIEW (YMS Chapters 1-8)

AP STATISTICS REVIEW (YMS Chapters 1-8) Exploring Data (Chapter 1) Categorical Data nominal scale, names e.g. male/female or eye color or breeds of dogs Quantitative Data rational scale (can +,,, with

### 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

### Econometrics and Data Analysis I

Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) Summer Session A, 2014 June 2 July 4 Instructor: Doug McKee (douglas.mckee@yale.edu) Teaching Fellow: Yu Liu (dav.yu.liu@yale.edu) Classroom:

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

### 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

### 1.3 Measuring Center & Spread, The Five Number Summary & Boxplots. Describing Quantitative Data with Numbers

1.3 Measuring Center & Spread, The Five Number Summary & Boxplots Describing Quantitative Data with Numbers 1.3 I can n Calculate and interpret measures of center (mean, median) in context. n Calculate

### 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

### 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

### 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

### Understanding Confidence Intervals and Hypothesis Testing Using Excel Data Table Simulation

Understanding Confidence Intervals and Hypothesis Testing Using Excel Data Table Simulation Leslie Chandrakantha lchandra@jjay.cuny.edu Department of Mathematics & Computer Science John Jay College of

### Diagrams and Graphs of Statistical Data

Diagrams and Graphs of Statistical Data One of the most effective and interesting alternative way in which a statistical data may be presented is through diagrams and graphs. There are several ways in

### 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

Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS Course/ Meeting information Semester: Fall 2014 Section: TR01F Meeting Times: 5:30 PM Thursdays Location: 2N5

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

University of Texas at El Paso Professional and Public Programs 500 W. University Kelly Hall Ste. 212 & 214 El Paso, TX 79968 http://www.ppp.utep.edu/ Contact: Sylvia Monsisvais 915-747-7578 samonsisvais@utep.edu

### Statistics 151 Practice Midterm 1 Mike Kowalski

Statistics 151 Practice Midterm 1 Mike Kowalski Statistics 151 Practice Midterm 1 Multiple Choice (50 minutes) Instructions: 1. This is a closed book exam. 2. You may use the STAT 151 formula sheets and

### 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

### 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

### 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

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

### Manhattan Center for Science and Math High School Mathematics Department Curriculum

Content/Discipline Algebra 1 Semester 2: Marking Period 1 - Unit 8 Polynomials and Factoring Topic and Essential Question How do perform operations on polynomial functions How to factor different types

### QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209

QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209 Elias T. Kirche, Ph.D. Associate Professor Department of Information Systems and Operations Management Lutgert

### 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

### Organizing Your Approach to a Data Analysis

Biost/Stat 578 B: Data Analysis Emerson, September 29, 2003 Handout #1 Organizing Your Approach to a Data Analysis The general theme should be to maximize thinking about the data analysis and to minimize

### What is the purpose of this document? What is in the document? How do I send Feedback?

This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Statistics

### Good luck! BUSINESS STATISTICS FINAL EXAM INSTRUCTIONS. Name:

Glo bal Leadership M BA BUSINESS STATISTICS FINAL EXAM Name: INSTRUCTIONS 1. Do not open this exam until instructed to do so. 2. Be sure to fill in your name before starting the exam. 3. You have two hours

### 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 1272/ MA 272 TITLE: DESCRIPTION: TEXT: Statistics An introduction to statistical methods and statistical

### STAT 350 Practice Final Exam Solution (Spring 2015)

PART 1: Multiple Choice Questions: 1) A study was conducted to compare five different training programs for improving endurance. Forty subjects were randomly divided into five groups of eight subjects

### 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

### Chapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs

Types of Variables Chapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs Quantitative (numerical)variables: take numerical values for which arithmetic operations make sense (addition/averaging)

### 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

### Teaching Biostatistics to Postgraduate Students in Public Health

Teaching Biostatistics to Postgraduate Students in Public Health Peter A Lachenbruch - h s hgeles, California, USA 1. Introduction This paper describes how biostatistics is taught in US Schools of Public

### Social Work Statistics Spring 2000

The University of Texas at Austin School Of Social Work Social Work Statistics Spring 2000 Instructor: Jim Schwab Office: SSW 3.106b Phone Number: 471-9816 Office hours: Tuesday/Thursday, 2:00pm 4:00pm,

### First Midterm Exam (MATH1070 Spring 2012)

First Midterm Exam (MATH1070 Spring 2012) Instructions: This is a one hour exam. You can use a notecard. Calculators are allowed, but other electronics are prohibited. 1. [40pts] Multiple Choice Problems

### Chapter 23. Inferences for Regression

Chapter 23. Inferences for Regression Topics covered in this chapter: Simple Linear Regression Simple Linear Regression Example 23.1: Crying and IQ The Problem: Infants who cry easily may be more easily

### 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

### MATH 1342 Elementary Statistics

175 NEW EDITION: MATH 1342 Elementary Statistics Mary Parker, co-chair; mparker@austincc.edu 223-4846 Gustavo Cepparo, co-chair, gcepparo@austincc.edu 223-4443 A full list of the committee can be found

### Chapter 7: Simple linear regression Learning Objectives

Chapter 7: Simple linear regression Learning Objectives Reading: Section 7.1 of OpenIntro Statistics Video: Correlation vs. causation, YouTube (2:19) Video: Intro to Linear Regression, YouTube (5:18) -

### The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS

1 The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS Course Number: SW 318 Instructor: Michael Bergman, Ph.D. Unique Number: 65190 Office Number: SSW 1.214 (IT Classroom) Semester:

### 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

### Preparation of Two-Year College Mathematics Instructors to Teach Statistics with GAISE Session on Assessment

Preparation of Two-Year College Mathematics Instructors to Teach Statistics with GAISE Session on Assessment - 1 - American Association for Higher Education (AAHE) 9 Principles of Good Practice for Assessing

### Algebra 1 Course Information

Course Information Course Description: Students will study patterns, relations, and functions, and focus on the use of mathematical models to understand and analyze quantitative relationships. Through

### 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

### Common Core Unit Summary Grades 6 to 8

Common Core Unit Summary Grades 6 to 8 Grade 8: Unit 1: Congruence and Similarity- 8G1-8G5 rotations reflections and translations,( RRT=congruence) understand congruence of 2 d figures after RRT Dilations

### Simple Linear Regression

STAT 101 Dr. Kari Lock Morgan Simple Linear Regression SECTIONS 9.3 Confidence and prediction intervals (9.3) Conditions for inference (9.1) Want More Stats??? If you have enjoyed learning how to analyze

### USING A TI-83 OR TI-84 SERIES GRAPHING CALCULATOR IN AN INTRODUCTORY STATISTICS CLASS

USING A TI-83 OR TI-84 SERIES GRAPHING CALCULATOR IN AN INTRODUCTORY STATISTICS CLASS W. SCOTT STREET, IV DEPARTMENT OF STATISTICAL SCIENCES & OPERATIONS RESEARCH VIRGINIA COMMONWEALTH UNIVERSITY Table

### business statistics using Excel OXFORD UNIVERSITY PRESS Glyn Davis & Branko Pecar

business statistics using Excel Glyn Davis & Branko Pecar OXFORD UNIVERSITY PRESS Detailed contents Introduction to Microsoft Excel 2003 Overview Learning Objectives 1.1 Introduction to Microsoft Excel

### Vertical Alignment Colorado Academic Standards 6 th - 7 th - 8 th

Vertical Alignment Colorado Academic Standards 6 th - 7 th - 8 th Standard 3: Data Analysis, Statistics, and Probability 6 th Prepared Graduates: 1. Solve problems and make decisions that depend on un

### Teaching Business Statistics through Problem Solving

Teaching Business Statistics through Problem Solving David M. Levine, Baruch College, CUNY with David F. Stephan, Two Bridges Instructional Technology CONTACT: davidlevine@davidlevinestatistics.com Typical

### a) Find the five point summary for the home runs of the National League teams. b) What is the mean number of home runs by the American League teams?

1. Phone surveys are sometimes used to rate TV shows. Such a survey records several variables listed below. Which ones of them are categorical and which are quantitative? - the number of people watching

### Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108

Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Department of Urban Studies Email: w.weizer @csuohio.edu Instructor: Winifred Weizer

### 3. Data Analysis, Statistics, and Probability

3. Data Analysis, Statistics, and Probability Data and probability sense provides students with tools to understand information and uncertainty. Students ask questions and gather and use data to answer

### Truman College-Mathematics Department Math 125-CD: Introductory Statistics Course Syllabus Fall 2012

Instructor: Dr. Abdallah Shuaibi Office #: 3816 Email: ashuaibi1@ccc.edu URL: http://faculty.ccc.edu/ashuaibi/ Phone #: (773)907-4085 Office Hours: Truman College-Mathematics Department Math 125-CD: Introductory

### 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.

### Cell Phone Impairment?

Cell Phone Impairment? Overview of Lesson This lesson is based upon data collected by researchers at the University of Utah (Strayer and Johnston, 2001). The researchers asked student volunteers (subjects)

### UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test March 2014

UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test March 2014 STAB22H3 Statistics I Duration: 1 hour and 45 minutes Last Name: First Name: Student number: Aids

### Students' Opinion about Universities: The Faculty of Economics and Political Science (Case Study)

Cairo University Faculty of Economics and Political Science Statistics Department English Section Students' Opinion about Universities: The Faculty of Economics and Political Science (Case Study) Prepared

### AP STATISTICS (Warm-Up Exercises)

AP STATISTICS (Warm-Up Exercises) 1. Describe the distribution of ages in a city: 2. Graph a box plot on your calculator for the following test scores: {90, 80, 96, 54, 80, 95, 100, 75, 87, 62, 65, 85,

### Class 19: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.1)

Spring 204 Class 9: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.) Big Picture: More than Two Samples In Chapter 7: We looked at quantitative variables and compared the

T O P I C 1 2 Techniques and tools for data analysis Preview Introduction In chapter 3 of Statistics In A Day different combinations of numbers and types of variables are presented. We go through these

### BIOM611 Biological Data Analysis

BIOM611 Biological Data Analysis Spring, 2015 Tentative Syllabus Introduction BIOMED611 is a ½ unit course required for all 1 st year BGS students (except GCB students). It will provide an introduction