Statistics 101 Homework 2
|
|
- Angelica Horton
- 7 years ago
- Views:
Transcription
1 Statistics 101 Homework 2 Solution Reading: January 23 January 25 Chapter 4 January 28 Chapter 5 Assignment: 1. As part of a physiology study participants had their heart rate (beats per minute) taken by a trained nurse practitioner. Below are heart rates for a sample of 20 females a) Answer the questions, Who? What? for these data. Who? Females. What? Heart rate (beats per minute). b) Make a stem-and-leaf display of the females heart rates (use a split stem) * 7 5* * * * * c) Using the stem-and-leaf display, describe the distribution of heart rates for females. Make sure you mention the shape, center, spread and any outliers or other interesting characteristics of the distribution. The shape is mounded on the high side (on the right) and skewed towards lower values (to the left). The center is in the low 70 s beats per minute. The spread is from 57 to 79 beats per minute. There are no apparent outliers or other unusual characteristics. d) Calculate the sample mean heart rate. The sample mean heart rate is beats per minute. 1
2 e) Calculate the sample median heart rate. Why is the sample mean heart rate lower than the sample median heart rate? The sample median heart rate is 71.5 beats per minute. The sample mean is lower than the sample median because the distribution is skewed to the left and the sample mean tends to be pulled in the direction of the skew. f) Calculate the five number summary for these data. minimum: 57.0 bpm lower quartile: 68.0 bpm median: 71.5 bpm upper quartile: 75.5 bpm maximum: 79.0 bpm g) Given the value ( y y) 2 for these data s = = = 6.0 beats per minute 19 = , calculate the sample standard deviation h) Which do you think provides a more informative summary of these data; a five number summary or the sample mean and sample standard deviation? Briefly explain your answer. The shape of the distribution is skewed left. A five number summary would be a more informative summary. The heart rates for a sample of 20 males were also taken. i) Describe the distribution of heart rates for males. Make sure you mention the shape, center, spread and any outliers or other interesting characteristics of the distribution. The shape of the distribution is symmetric and mounded in the middle. The center is between 70 and 75 beats per minute. The spread is from 64 to 82 beats per minute. There are no apparent outliers or other unusual characteristics. j) Give the value of the sample mean heart rate. Give the value of the sample median heart rate. Sample mean heart rate is beats per minute. Sample median heart rate is 72 beats per minute. 2
3 k) Give the value of the sample standard deviation for male heart rate. The sample standard deviation is 4.7 beats per minute. l) Construct side-by-side box plots (use a common scale) and use these to compare the distribution of females and males heart rates. Heart Rate F Gender M Males heart rate is slightly higher on average than females. Females also show more variation, or spread, than males do. It is hard to see the left skew shape in the box plot for females but the symmetric box plot for males confirms our earlier observation. 2. JMP Assignment: What is a normal body temperature? Researches took the body temperature (degrees Fahrenheit) of 130 adults, 65 males and 65 females. The data are in a file on the course web page. Follow the instructions in the JMP Guide to download the data from the web and open the data in JMP. a) Obtain a histogram, box plot, stem-and-leaf display and descriptive statistics for the body temperature. Print the JMP output and turn it in with your assignment. Use the output to answer the following questions. Describe the distribution of body temperature. Make sure to mention the shape, center, spread and any outliers. The shape of the distribution of body temperature is fairly symmetric. The center is around 98.3 degrees Fahrenheit. The data is spread from 96.3 to degrees Fahrenheit. The box plot indicates three potential outliers; two on the low end (96.3 and 96.4 degrees F) and one on the high end (100.8 degrees F) 3
4 What percentage of body temperatures are less than 98.6 degrees Fahrenheit? 81 out of 130 or 62.3% of the body temperatures are less than 98.6 degrees Fahrenheit. What is the sample median body temperature? What is the sample mean body temperature? The sample median body temperature is 98.3 degrees Fahrenheit. The sample mean body temperature is degrees Fahrenheit. Comment on the relationship between the sample median and sample mean and how this relationship is consistent with your description of the shape of the distribution. The sample median and the sample mean are almost equal. This is consistent with the description of the shape of the distribution as symmetric. b) Obtain histograms and descriptive statistics for the body temperature by gender. Make sure histograms have common scales. Also obtain side-by-side box plots for males and females. Print the JMP output and turn it in with your assignment. Use the output to answer the following questions. Compare males and females in terms of body temperature. Females tend to have slightly higher body temperatures than males. The sample mean and sample median for females are o F and o F, respectively while the sample mean and median for males is o F. Both distributions are fairly symmetric. There are a few potential outliers for the females, the temperature of o F is unusually high while temperatures of 96.4, 96.7 and 96.8 o F are unusually low. Looking at all of the values, the females have a larger standard deviation, o F, than the males, o F. Ignoring these potential outliers, the two distributions have about the same spread. 4
5 Distribution of Body Temperature for a sample of 130 adults Body Temperature (F) Stem Leaf represents 96.3 Quantiles Moments 100.0% maximum Mean % quartile Std Dev % median N % quartile % minimum
6 Gender=F (Female) Gender=M (Male) Quantiles 100.0% maximum % maximum % quartile % quartile % median % median % quartile % quartile % minimum % minimum Moments Mean Mean Std Dev Std Dev N 65 N Temp F M Gender Means and Std Deviations Level Number Mean Std Dev F M
AP * Statistics Review. Descriptive Statistics
AP * Statistics Review Descriptive Statistics Teacher Packet Advanced Placement and AP are registered trademark of the College Entrance Examination Board. The College Board was not involved in the production
More informationLecture 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 informationExploratory data analysis (Chapter 2) Fall 2011
Exploratory data analysis (Chapter 2) Fall 2011 Data Examples Example 1: Survey Data 1 Data collected from a Stat 371 class in Fall 2005 2 They answered questions about their: gender, major, year in school,
More informationCenter: Finding the Median. Median. Spread: Home on the Range. Center: Finding the Median (cont.)
Center: Finding the Median When we think of a typical value, we usually look for the center of the distribution. For a unimodal, symmetric distribution, it s easy to find the center it s just the center
More informationVariables. Exploratory Data Analysis
Exploratory Data Analysis Exploratory Data Analysis involves both graphical displays of data and numerical summaries of data. A common situation is for a data set to be represented as a matrix. There is
More informationThe Big Picture. Describing Data: Categorical and Quantitative Variables Population. Descriptive Statistics. Community Coalitions (n = 175)
Describing Data: Categorical and Quantitative Variables Population The Big Picture Sampling Statistical Inference Sample Exploratory Data Analysis Descriptive Statistics In order to make sense of data,
More informationa. mean b. interquartile range c. range d. median
3. Since 4. The HOMEWORK 3 Due: Feb.3 1. A set of data are put in numerical order, and a statistic is calculated that divides the data set into two equal parts with one part below it and the other part
More informationSTATS8: Introduction to Biostatistics. Data Exploration. Babak Shahbaba Department of Statistics, UCI
STATS8: Introduction to Biostatistics Data Exploration Babak Shahbaba Department of Statistics, UCI Introduction After clearly defining the scientific problem, selecting a set of representative members
More informationExploratory 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 information1.3 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
More informationSummarizing and Displaying Categorical Data
Summarizing and Displaying Categorical Data Categorical data can be summarized in a frequency distribution which counts the number of cases, or frequency, that fall into each category, or a relative frequency
More informationBox-and-Whisker Plots
Learning Standards HSS-ID.A. HSS-ID.A.3 3 9 23 62 3 COMMON CORE.2 Numbers of First Cousins 0 3 9 3 45 24 8 0 3 3 6 8 32 8 0 5 4 Box-and-Whisker Plots Essential Question How can you use a box-and-whisker
More informationChapter 7 Section 7.1: Inference for the Mean of a Population
Chapter 7 Section 7.1: Inference for the Mean of a Population Now let s look at a similar situation Take an SRS of size n Normal Population : N(, ). Both and are unknown parameters. Unlike what we used
More informationAssignment #03: Time Management with Excel
Technical Module I Demonstrator: Dereatha Cross dac4303@ksu.edu Assignment #03: Time Management with Excel Introduction Success in any endeavor depends upon time management. One of the optional exercises
More informationAMS 7L LAB #2 Spring, 2009. Exploratory Data Analysis
AMS 7L LAB #2 Spring, 2009 Exploratory Data Analysis Name: Lab Section: Instructions: The TAs/lab assistants are available to help you if you have any questions about this lab exercise. If you have any
More informationMind on Statistics. Chapter 2
Mind on Statistics Chapter 2 Sections 2.1 2.3 1. Tallies and cross-tabulations are used to summarize which of these variable types? A. Quantitative B. Mathematical C. Continuous D. Categorical 2. The table
More informationBNG 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 informationDescribing, Exploring, and Comparing Data
24 Chapter 2. Describing, Exploring, and Comparing Data Chapter 2. Describing, Exploring, and Comparing Data There are many tools used in Statistics to visualize, summarize, and describe data. This chapter
More information2: Frequency Distributions
2: Frequency Distributions Stem-and-Leaf Plots (Stemplots) The stem-and-leaf plot (stemplot) is an excellent way to begin an analysis. Consider this small data set: 218 426 53 116 309 504 281 270 246 523
More informationDESCRIPTIVE STATISTICS AND EXPLORATORY DATA ANALYSIS
DESCRIPTIVE STATISTICS AND EXPLORATORY DATA ANALYSIS SEEMA JAGGI Indian Agricultural Statistics Research Institute Library Avenue, New Delhi - 110 012 seema@iasri.res.in 1. Descriptive Statistics Statistics
More informationSta 309 (Statistics And Probability for Engineers)
Instructor: Prof. Mike Nasab Sta 309 (Statistics And Probability for Engineers) Chapter 2 Organizing and Summarizing Data Raw Data: When data are collected in original form, they are called raw data. The
More informationSection 3: Examining Center, Spread, and Shape with Box Plots
Section 3: Examining Center, Spread, and Shape with Box Plots Q32. So far with my examination of the data, most of the data seems to be skewed. Expenditure per student and revenue per student are both
More informationUsing SPSS, Chapter 2: Descriptive Statistics
1 Using SPSS, Chapter 2: Descriptive Statistics Chapters 2.1 & 2.2 Descriptive Statistics 2 Mean, Standard Deviation, Variance, Range, Minimum, Maximum 2 Mean, Median, Mode, Standard Deviation, Variance,
More informationMeans, standard deviations and. and standard errors
CHAPTER 4 Means, standard deviations and standard errors 4.1 Introduction Change of units 4.2 Mean, median and mode Coefficient of variation 4.3 Measures of variation 4.4 Calculating the mean and standard
More informationThe right edge of the box is the third quartile, Q 3, which is the median of the data values above the median. Maximum Median
CONDENSED LESSON 2.1 Box Plots In this lesson you will create and interpret box plots for sets of data use the interquartile range (IQR) to identify potential outliers and graph them on a modified box
More informationGood 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
More informationSTAB22 section 1.1. total = 88(200/100) + 85(200/100) + 77(300/100) + 90(200/100) + 80(100/100) = 176 + 170 + 231 + 180 + 80 = 837,
STAB22 section 1.1 1.1 Find the student with ID 104, who is in row 5. For this student, Exam1 is 95, Exam2 is 98, and Final is 96, reading along the row. 1.2 This one involves a careful reading of the
More informationDescriptive statistics Statistical inference statistical inference, statistical induction and inferential statistics
Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data. Descriptive statistics are distinguished from inferential statistics (or inductive statistics),
More informationDescriptive Statistics
Y520 Robert S Michael Goal: Learn to calculate indicators and construct graphs that summarize and describe a large quantity of values. Using the textbook readings and other resources listed on the web
More informationShape of Data Distributions
Lesson 13 Main Idea Describe a data distribution by its center, spread, and overall shape. Relate the choice of center and spread to the shape of the distribution. New Vocabulary distribution symmetric
More informationGeostatistics 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
More informationExercise 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.
More informationBiology 300 Homework assignment #1 Solutions. Assignment:
Biology 300 Homework assignment #1 Solutions Assignment: Chapter 1, Problems 6, 15 Chapter 2, Problems 6, 8, 9, 12 Chapter 3, Problems 4, 6, 15 Chapter 4, Problem 16 Answers in bold. Chapter 1 6. Identify
More informationLecture 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 informationLesson 4 Measures of Central Tendency
Outline Measures of a distribution s shape -modality and skewness -the normal distribution Measures of central tendency -mean, median, and mode Skewness and Central Tendency Lesson 4 Measures of Central
More informationWeek 1. Exploratory Data Analysis
Week 1 Exploratory Data Analysis Practicalities This course ST903 has students from both the MSc in Financial Mathematics and the MSc in Statistics. Two lectures and one seminar/tutorial per week. Exam
More informationComparing Means in Two Populations
Comparing Means in Two Populations Overview The previous section discussed hypothesis testing when sampling from a single population (either a single mean or two means from the same population). Now we
More informationDescriptive Statistics
Descriptive Statistics Suppose following data have been collected (heights of 99 five-year-old boys) 117.9 11.2 112.9 115.9 18. 14.6 17.1 117.9 111.8 16.3 111. 1.4 112.1 19.2 11. 15.4 99.4 11.1 13.3 16.9
More informationUnit Support Notes Statistics (SCQF level 6)
Unit Support Notes Statistics (SCQF level 6) This document may be reproduced in whole or in part for educational purposes provided that no profit is derived from reproduction and that, if reproduced in
More information4 Other useful features on the course web page. 5 Accessing SAS
1 Using SAS outside of ITCs Statistical Methods and Computing, 22S:30/105 Instructor: Cowles Lab 1 Jan 31, 2014 You can access SAS from off campus by using the ITC Virtual Desktop Go to https://virtualdesktopuiowaedu
More informationIndependent t- Test (Comparing Two Means)
Independent t- Test (Comparing Two Means) The objectives of this lesson are to learn: the definition/purpose of independent t-test when to use the independent t-test the use of SPSS to complete an independent
More informationChapter 3. The Normal Distribution
Chapter 3. The Normal Distribution Topics covered in this chapter: Z-scores Normal Probabilities Normal Percentiles Z-scores Example 3.6: The standard normal table The Problem: What proportion of observations
More informationMean, Median, and Mode
DELTA MATH SCIENCE PARTNERSHIP INITIATIVE M 3 Summer Institutes (Math, Middle School, MS Common Core) Mean, Median, and Mode Hook Problem: To compare two shipments, five packages from each shipment were
More informationSimple linear regression
Simple linear regression Introduction Simple linear regression is a statistical method for obtaining a formula to predict values of one variable from another where there is a causal relationship between
More informationLecture 2. Summarizing the Sample
Lecture 2 Summarizing the Sample WARNING: Today s lecture may bore some of you It s (sort of) not my fault I m required to teach you about what we re going to cover today. I ll try to make it as exciting
More informationDESCRIPTIVE STATISTICS - CHAPTERS 1 & 2 1
DESCRIPTIVE STATISTICS - CHAPTERS 1 & 2 1 OVERVIEW STATISTICS PANIK...THE THEORY AND METHODS OF COLLECTING, ORGANIZING, PRESENTING, ANALYZING, AND INTERPRETING DATA SETS SO AS TO DETERMINE THEIR ESSENTIAL
More informationThe Effect of Dropping a Ball from Different Heights on the Number of Times the Ball Bounces
The Effect of Dropping a Ball from Different Heights on the Number of Times the Ball Bounces Or: How I Learned to Stop Worrying and Love the Ball Comment [DP1]: Titles, headings, and figure/table captions
More information1) 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 information2 Describing, Exploring, and
2 Describing, Exploring, and Comparing Data This chapter introduces the graphical plotting and summary statistics capabilities of the TI- 83 Plus. First row keys like \ R (67$73/276 are used to obtain
More informationExploratory Data Analysis. Psychology 3256
Exploratory Data Analysis Psychology 3256 1 Introduction If you are going to find out anything about a data set you must first understand the data Basically getting a feel for you numbers Easier to find
More informationT 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
More informationClassify the data as either discrete or continuous. 2) An athlete runs 100 meters in 10.5 seconds. 2) A) Discrete B) Continuous
Chapter 2 Overview Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Classify as categorical or qualitative data. 1) A survey of autos parked in
More informationChapter 7 Section 1 Homework Set A
Chapter 7 Section 1 Homework Set A 7.15 Finding the critical value t *. What critical value t * from Table D (use software, go to the web and type t distribution applet) should be used to calculate the
More information2. Filling Data Gaps, Data validation & Descriptive Statistics
2. Filling Data Gaps, Data validation & Descriptive Statistics Dr. Prasad Modak Background Data collected from field may suffer from these problems Data may contain gaps ( = no readings during this period)
More informationHow 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
More informationP(every one of the seven intervals covers the true mean yield at its location) = 3.
1 Let = number of locations at which the computed confidence interval for that location hits the true value of the mean yield at its location has a binomial(7,095) (a) P(every one of the seven intervals
More informationCHAPTER 7 INTRODUCTION TO SAMPLING DISTRIBUTIONS
CHAPTER 7 INTRODUCTION TO SAMPLING DISTRIBUTIONS CENTRAL LIMIT THEOREM (SECTION 7.2 OF UNDERSTANDABLE STATISTICS) The Central Limit Theorem says that if x is a random variable with any distribution having
More informationData Exploration Data Visualization
Data Exploration Data Visualization What is data exploration? A preliminary exploration of the data to better understand its characteristics. Key motivations of data exploration include Helping to select
More informationChapter 2: Frequency Distributions and Graphs
Chapter 2: Frequency Distributions and Graphs Learning Objectives Upon completion of Chapter 2, you will be able to: Organize the data into a table or chart (called a frequency distribution) Construct
More information+ Chapter 1 Exploring Data
Chapter 1 Exploring Data Introduction: Data Analysis: Making Sense of Data 1.1 Analyzing Categorical Data 1.2 Displaying Quantitative Data with Graphs 1.3 Describing Quantitative Data with Numbers Introduction
More informationNorthumberland Knowledge
Northumberland Knowledge Know Guide How to Analyse Data - November 2012 - This page has been left blank 2 About this guide The Know Guides are a suite of documents that provide useful information about
More informationDongfeng Li. Autumn 2010
Autumn 2010 Chapter Contents Some statistics background; ; Comparing means and proportions; variance. Students should master the basic concepts, descriptive statistics measures and graphs, basic hypothesis
More informationPie Charts. proportion of ice-cream flavors sold annually by a given brand. AMS-5: Statistics. Cherry. Cherry. Blueberry. Blueberry. Apple.
Graphical Representations of Data, Mean, Median and Standard Deviation In this class we will consider graphical representations of the distribution of a set of data. The goal is to identify the range of
More informationDESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.
DESCRIPTIVE STATISTICS The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses. DESCRIPTIVE VS. INFERENTIAL STATISTICS Descriptive To organize,
More informationIntro 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 informationIntroduction to Environmental Statistics. The Big Picture. Populations and Samples. Sample Data. Examples of sample data
A Few Sources for Data Examples Used Introduction to Environmental Statistics Professor Jessica Utts University of California, Irvine jutts@uci.edu 1. Statistical Methods in Water Resources by D.R. Helsel
More informationMidterm Review Problems
Midterm Review Problems October 19, 2013 1. Consider the following research title: Cooperation among nursery school children under two types of instruction. In this study, what is the independent variable?
More informationA 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 informationChoosing a classification method
Chapter 6 Symbolizing your data 103 Choosing a classification method ArcView offers five classification methods for making a graduated color or graduated symbol map: Natural breaks Quantile Equal area
More informationMATH 103/GRACEY PRACTICE EXAM/CHAPTERS 2-3. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
MATH 3/GRACEY PRACTICE EXAM/CHAPTERS 2-3 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) The frequency distribution
More informationPractice#1(chapter1,2) Name
Practice#1(chapter1,2) Name Solve the problem. 1) The average age of the students in a statistics class is 22 years. Does this statement describe descriptive or inferential statistics? A) inferential statistics
More informationIntroduction; Descriptive & Univariate Statistics
Introduction; Descriptive & Univariate Statistics I. KEY COCEPTS A. Population. Definitions:. The entire set of members in a group. EXAMPLES: All U.S. citizens; all otre Dame Students. 2. All values of
More informationHYPOTHESIS TESTING WITH SPSS:
HYPOTHESIS TESTING WITH SPSS: A NON-STATISTICIAN S GUIDE & TUTORIAL by Dr. Jim Mirabella SPSS 14.0 screenshots reprinted with permission from SPSS Inc. Published June 2006 Copyright Dr. Jim Mirabella CHAPTER
More informationMATH 4470/5470 EXPLORATORY DATA ANALYSIS ONLINE COURSE SYLLABUS
MATH 4470/5470 EXPLORATORY DATA ANALYSIS ONLINE COURSE SYLLABUS COURSE DESCRIPTION Introduction to modern techniques in data analysis, including stem-and-leafs, box plots, resistant lines, smoothing and
More informationSection 1.3 Exercises (Solutions)
Section 1.3 Exercises (s) 1.109, 1.110, 1.111, 1.114*, 1.115, 1.119*, 1.122, 1.125, 1.127*, 1.128*, 1.131*, 1.133*, 1.135*, 1.137*, 1.139*, 1.145*, 1.146-148. 1.109 Sketch some normal curves. (a) Sketch
More informationTHE BINOMIAL DISTRIBUTION & PROBABILITY
REVISION SHEET STATISTICS 1 (MEI) THE BINOMIAL DISTRIBUTION & PROBABILITY The main ideas in this chapter are Probabilities based on selecting or arranging objects Probabilities based on the binomial distribution
More informationAP Statistics Solutions to Packet 2
AP Statistics Solutions to Packet 2 The Normal Distributions Density Curves and the Normal Distribution Standard Normal Calculations HW #9 1, 2, 4, 6-8 2.1 DENSITY CURVES (a) Sketch a density curve that
More informationInterpret Box-and-Whisker Plots. Make a box-and-whisker plot
13.8 Interpret Box-and-Whisker Plots Before You made stem-and-leaf plots and histograms. Now You will make and interpret box-and-whisker plots. Why? So you can compare sets of scientific data, as in Ex.
More informationStatistics, Data Analysis, & Probability - Grade 7 Linda Fahlberg-Stojanovska & Ivancho Dimovski
Statistics, ata nalysis, & Probability - Grade 7 Linda Fahlberg-Stojanovska & Ivancho imovski MULTIPLE HOIE 1. The box and whisker plot below shows the dollar prices of twenty popcorn poppers as listed
More informationName: Date: Use the following to answer questions 2-3:
Name: Date: 1. A study is conducted on students taking a statistics class. Several variables are recorded in the survey. Identify each variable as categorical or quantitative. A) Type of car the student
More informationSampling and Descriptive Statistics
Sampling and Descriptive Statistics Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University Reference: 1. W. Navidi. Statistics for Engineering and Scientists.
More informationTopic 9 ~ Measures of Spread
AP Statistics Topic 9 ~ Measures of Spread Activity 9 : Baseball Lineups The table to the right contains data on the ages of the two teams involved in game of the 200 National League Division Series. Is
More informationIntroduction to Statistics for Psychology. Quantitative Methods for Human Sciences
Introduction to Statistics for Psychology and Quantitative Methods for Human Sciences Jonathan Marchini Course Information There is website devoted to the course at http://www.stats.ox.ac.uk/ marchini/phs.html
More informationEXAM #1 (Example) Instructor: Ela Jackiewicz. Relax and good luck!
STP 231 EXAM #1 (Example) Instructor: Ela Jackiewicz Honor Statement: I have neither given nor received information regarding this exam, and I will not do so until all exams have been graded and returned.
More informationChapter 1: Exploring Data
Chapter 1: Exploring Data Chapter 1 Review 1. As part of survey of college students a researcher is interested in the variable class standing. She records a 1 if the student is a freshman, a 2 if the student
More informationStatistics Chapter 2
Statistics Chapter 2 Frequency Tables A frequency table organizes quantitative data. partitions data into classes (intervals). shows how many data values are in each class. Test Score Number of Students
More informationCharacteristics of Binomial Distributions
Lesson2 Characteristics of Binomial Distributions In the last lesson, you constructed several binomial distributions, observed their shapes, and estimated their means and standard deviations. In Investigation
More informationStatistics 2014 Scoring Guidelines
AP Statistics 2014 Scoring Guidelines College Board, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks of the College Board. AP Central is the official online home
More informationDiagrams 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
More informationSection 1.1 Exercises (Solutions)
Section 1.1 Exercises (Solutions) HW: 1.14, 1.16, 1.19, 1.21, 1.24, 1.25*, 1.31*, 1.33, 1.34, 1.35, 1.38*, 1.39, 1.41* 1.14 Employee application data. The personnel department keeps records on all employees
More informationDetermine whether the data are qualitative or quantitative. 8) the colors of automobiles on a used car lot Answer: qualitative
Name Score: Math 227 Review Exam 1 Chapter 2& Fall 2011 ********************************************************************************************************************** SHORT ANSWER. Show work on
More informationDemographics of Atlanta, Georgia:
Demographics of Atlanta, Georgia: A Visual Analysis of the 2000 and 2010 Census Data 36-315 Final Project Rachel Cohen, Kathryn McKeough, Minnar Xie & David Zimmerman Ethnicities of Atlanta Figure 1: From
More informationExploratory Data Analysis
Exploratory Data Analysis Paul Cohen ISTA 370 Spring, 2012 Paul Cohen ISTA 370 () Exploratory Data Analysis Spring, 2012 1 / 46 Outline Data, revisited The purpose of exploratory data analysis Learning
More information2-7 Exploratory Data Analysis (EDA)
102 C HAPTER 2 Describing, Exploring, and Comparing Data 2-7 Exploratory Data Analysis (EDA) This chapter presents the basic tools for describing, exploring, and comparing data, and the focus of this section
More informationChapter 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)
More informationMEASURES OF LOCATION AND SPREAD
Paper TU04 An Overview of Non-parametric Tests in SAS : When, Why, and How Paul A. Pappas and Venita DePuy Durham, North Carolina, USA ABSTRACT Most commonly used statistical procedures are based on the
More informationEXPLORATORY DATA ANALYSIS: GETTING TO KNOW YOUR DATA
EXPLORATORY DATA ANALYSIS: GETTING TO KNOW YOUR DATA Michael A. Walega Covance, Inc. INTRODUCTION In broad terms, Exploratory Data Analysis (EDA) can be defined as the numerical and graphical examination
More informationDensity Curve. A density curve is the graph of a continuous probability distribution. It must satisfy the following properties:
Density Curve A density curve is the graph of a continuous probability distribution. It must satisfy the following properties: 1. The total area under the curve must equal 1. 2. Every point on the curve
More information