Cover image for 1,001 statistics practice problems for dummies
Title:
1,001 statistics practice problems for dummies
Series:
For dummies
Publication Information:
Hoboken, NJ : John Wiley & Sons, 2014.
Physical Description:
x, 488 pages : illustrations ; 26 cm.
ISBN:
9781118776049

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
33000000016212 QA276.2 S73 2014 Open Access Book Book
Searching...

On Order

Summary

Summary

1,001 practice opportunities to score higher in statistics

1,001 Statistics Practice Problems For Dummies takes you beyond the instruction and guidance offered in Statistics For Dummies to give you a more hands-on understanding of statistics. The practice problems offered range in difficulty, including detailed explanations and walk-throughs.

In this series, every step of every solution is shown with explanations and detailed narratives to help you solve each problem. With the book purchase, you'll also get access to practice statistics problems online. This content features 1,001 practice problems presented in multiple choice format; on-the-go access from smart phones, computers, and tablets; customizable practice sets for self-directed study; practice problems categorized as easy, medium, or hard; and a one-year subscription with book purchase.

Offers on-the-go access to practice statistics problems Gives you friendly, hands-on instruction 1,001 statistics practice problems that range in difficulty

1,001 Statistics Practice Problems For Dummies provides ample practice opportunities for students who may have taken statistics in high school and want to review the most important concepts as they gear up for a faster-paced college class.


Author Notes

The Experts at Dummies are smart, friendly people who make learning easy by taking a not-so-serious approach to serious stuff.


Table of Contents

Introductionp. 1
What You'll Findp. 1
How This Workbook Is Organizedp. 1
Part I The Questionsp. 2
Part II The Answersp. 3
Beyond the Bookp. 3
What you'll find onlinep. 3
How to registerp. 3
Where to Go for Additional Helpp. 4
Part I The Questionsp. 5
Chapter 1 Basis Vocabularyp. 7
The Problems You'll Work Onp. 7
What to Watch Out Forp. 7
Picking Out the Population, Sample, Parameter, and Statisticp. 8
Distinguishing Quantitative and Categorical Variablesp. 8
Getting a Handle on Bias, Variables, and the Meanp. 9
Understanding Different Statistics and Data Analysis Termsp. 9
Using Statistical Techniquesp. 10
Working with the Standard Deviationp. 10
Chapter 2 Descriptive Statisticsp. 11
The Problems You'll Work Onp. 11
What to Watch Out Forp. 11
Understanding the Mean and the Medianp. 12
Surveying Standard Deviation and Variancep. 13
Employing the Empirical Rulep. 15
Measuring Relative Standing with Percentilesp. 16
Delving into Data Sets and Descriptive Statisticsp. 17
Chapter 3 Graphingp. 21
The Problems You'll Work Onp. 21
What to Watch Out Forp. 21
Interpreting Pie Chartsp. 22
Considering Three-Dimensional Pie Chartsp. 22
Interpreting Bar Chartsp. 23
Introducing Other Graphsp. 24
Interpreting Histogramsp. 24
Digging Deeper into Histogramsp. 25
Comparing Histogramsp. 26
Describing the Center of a Distributionp. 27
Interpreting Box Plotsp. 27
Comparing Two Box Plotsp. 28
Comparing Three Box Plotsp. 29
Interpreting Time Chartsp. 30
Getting More Practice with Histogramsp. 31
Chapter 4 Random Variables and the Binomial Distributionp. 33
The Problems You'll Work Onp. 33
What to Watch Out Forp. 33
Comparing Discrete and Continuous Random Variablesp. 34
Understanding the Probability Distribution of a Random Variablep. 35
Determining the Mean of a Discrete Random Variablep. 35
Digging Deeper into the Mean of a Discrete Random Variablep. 35
Working with the Variance of a Discrete Random Variablep. 36
Putting Together the Mean, Variance, and Standard Deviation of a Random Variablep. 36
Digging Deeper into the Mean, Variance, and Standard Deviation of a Random Variablep. 37
Introducing Binomial Random Variablesp. 37
Figuring Out the Mean, Variance, and Standard Deviation of a Binomial Random Variablep. 38
Finding Binomial Probabilities with a Formulap. 38
Digging Deeper into Binomial Probabilities Using a Formulap. 39
Finding Binomial Probabilities with the Binomial Tablep. 39
Digging Deeper into Binomial Probabilities Using the Binomial Tablep. 40
Using the Normal Approximation to the Binomialp. 40
Digging Deeper into the Normal Approximation to the Binomialp. 41
Getting More Practice with Binomial Variablesp. 41
Chapter 5 The Normal Distributionp. 43
The Problems You'll Work Onp. 43
What to Watch Out Forp. 43
Defining and Describing the Normal Distributionp. 44
Working with z-Scores and Values of Xp. 45
Digging Deeper into z-Scores and Values of Xp. 45
Writing Probability Notationsp. 46
Introducing the Z-Tablep. 47
Finding Probabilities for a Normal Distributionp. 47
Digging Deeper into z-Scores and Probabilitiesp. 47
Figuring Out Percentiles for a Normal Distributionp. 48
Digging Deeper into Percentiles for a Normal Distributionp. 49
Getting More Practice with Percentilesp. 49
Chapter 6 The t-Distributionp. 51
The Problems You'll Work Onp. 51
What to Watch Out Forp. 51
Understanding the f-Distribution and Comparing It to the Z-Distributionp. 52
Using the t-Tablep. 53
Using the t-Distribution to Calculate Confidence Intervalsp. 55
Chapter 7 Sampling Distributions and the Central Limit Theoremp. 57
The Problems You'll Work Onp. 57
What to Watch Out Forp. 57
Introducing the Basics of Sampling Distributionsp. 58
Checking Out Random Variables and Sample Meansp. 59
Examining Standard Errorp. 59
Surveying Notation and Symbolsp. 60
Understanding What Affects Standard Errorp. 61
Digging Deeper into Standard Errorp. 61
Connecting Sample Means and Sampling Distributionsp. 62
Digging Deeper into Sampling Distributions of Sample Meansp. 64
Looking at the Central Limit Theoremp. 65
Getting More Practice with Sample Mean Calculationsp. 66
Finding Probabilities for Sample Meansp. 66
Digging Deeper into Probabilities for Sample Meansp. 67
Adding Proportions to the Mixp. 68
Figuring Out the Standard Error of the Sample Proportionp. 68
Using the Central Limit Theorem for Proportionsp. 68
Matching z-Scores to Sample Proportionsp. 69
Finding Approximate Probabilitiesp. 69
Getting More Practice with Probabilitiesp. 69
Digging Deeper into Approximate Probabilitiesp. 70
Chapter 8 Finding Room for a Margin of Errorp. 71
The Problems You'll Work Onp. 71
What to Watch Out Forp. 71
Defining and Calculating Margin of Errorp. 72
Using the Formula for Margin of Error When Estimating a Population Meanp. 72
Finding Appropriate z * -Values for Given Confidence Levelsp. 73
Connecting Margin of Error to Sample Sizep. 73
Getting More Practice with the Formula for Margin of Errorp. 73
Linking Margin of Error and Population Proportionp. 74
Chapter 9 Confidence Intervals: Basics for Single Population Means and Proportionsp. 75
The Problems You'll Work Onp. 75
What to Watch Out Forp. 75
Introducing Confidence Intervalsp. 76
Checking Out Components of Confidence Intervalsp. 76
Interpreting Confidence Intervalsp. 79
Spotting Misleading Confidence Intervalsp. 80
Calculating a Confidence Interval for a Population Meanp. 83
Determining the Needed Sample Sizep. 86
Introducing a Population Proportionp. 87
Connecting a Population Proportion to a Surveyp. 88
Calculating a Confidence Interval for a Population Proportionp. 88
Digging Deeper into Population Proportionsp. 89
Getting More Practice with Population Proportionsp. 90
Chapter 10 Confidence Intervals tor Two Population Means and Proportionsp. 91
The Problems You'll Work Onp. 91
What to Watch Out Forp. 91
Working with Confidence Intervals and Population Proportionsp. 92
Digging Deeper into Confidence Intervals and Population Proportionsp. 92
Working with Confidence Intervals and Population Meansp. 93
Making Calculations When Population Standard Deviations Are Knownp. 93
Digging Deeper into Calculations When Population Standard Deviations Are Knownp. 94
Working with Unknown Population Standard Deviations and Small Sample Sizesp. 95
Digging Deeper into Unknown Population Standard Deviations and Small Sample Sizesp. 95
Chapter 11 Claims, Tests, and Conclusionsp. 97
The Problems You'll Work Onp. 97
What to Watch Out Forp. 97
Knowing When to Use a Hypothesis Testp. 98
Setting Up Null and Alternative Hypothesesp. 98
Finding the Test Statistic and the p-Valuep. 100
Making Decisions Based on Alpha Levels and Test Statisticsp. 101
Making Conclusionsp. 101
Understanding Type I and Type II Errorsp. 103
Chapter 12 Hypothesis Testing Basics for a Single Population Mean: z- and t-Testsp. 105
The Problems You'll Work Onp. 105
What to Watch Out Forp. 105
Knowing What You Need to Run a z-Testp. 106
Determining Null and Alternative Hypothesesp. 106
Introducing p-Valuesp. 107
Calculating the z-Test Statisticp. 107
Finding p-Values by Doing a Test of One Population Meanp. 108
Drawing Conclusions about Hypothesesp. 108
Digging Deeper into p-Valuesp. 109
Digging Deeper into Conclusions about Hypothesesp. 109
Digging Deeper into Null and Alternative Hypothesesp. 110
Knowing When to Use a t-Testp. 111
Connecting Hypotheses to t-Testsp. 111
Calculating Test Statisticsp. 112
Working with Critical Values of tp. 112
Linking p-Values and t-Testsp. 113
Drawing Conclusions from t-Testsp. 114
Performing a t-Test for a Single Population Meanp. 115
Drawing More Conclusions from t-Testsp. 115
Chapter 13 Hypothesis Tests for One Proportion, Two Proportions, or Two Population Meansp. 117
The Problems You'll Work Onp. 117
What to Watch Out Forp. 117
Testing One Population Proportionp. 118
Comparing Two Independent Population Meansp. 120
Digging Deeper into Two Independent Population Meansp. 121
Getting More Practice with Two Independent Population Meansp. 121
Using the Paired t-Testp. 122
Digging Deeper into the Paired t-Testp. 123
Comparing Two Population Proportionsp. 124
Digging Deeper into Two Population Proportionsp. 124
Chapter 14 Surveysp. 127
The Problems You'll Work Onp. 127
What to Watch Out Forp. 127
Planning and Designing Surveysp. 128
Selecting Samples and Conducting Surveysp. 128
Chapter 15 Correlationp. 131
The Problems You'll Work Onp. 131
What to Watch Out Forp. 131
Interpreting Scatter Plotsp. 132
Creating Scatter Plotsp. 132
Understanding What Correlations Indicatep. 133
Digging Deeper into Scatter Plotsp. 133
Digging Deeper into What Correlations Indicatep. 134
Calculating Correlationsp. 134
Noting How Correlations Can Changep. 135
Looking at the Properties of Correlationsp. 135
Digging Deeper into How Correlations Can Changep. 136
Making Conclusions about Correlationsp. 136
Getting More Practice with Scatter Plots and Correlation Changesp. 136
Making More Conclusions about Correlationsp. 137
Chapter 16 Simple Linear Regressionp. 139
The Problems You'll Work Onp. 139
What to Watch Out Forp. 139
Introducing the Regression Linep. 140
Knowing the Conditions for Regressionp. 140
Examining the Equation for Calculating the Least-Squares Regression Linep. 140
Finding the Slope and y-Intercept of a Regression Linep. 141
Seeing How Variables Can Change in a Regression Linep. 141
Finding a Regression Linep. 141
Digging Deeper into Finding a Regression Linep. 142
Connecting to Correlation and Linear Relationshipsp. 144
Determining Whether Variables Are Candidates for a Linear Regression Analysisp. 144
Digging Deeper into Correlations and Linear Relationshipsp. 145
Describing Linear Relationshipsp. 145
Getting More Practice with Finding a Regression Linep. 146
Making Predictionsp. 147
Figuring Out Expected Values and Differencesp. 148
Digging Deeper into Expected Values and Differencesp. 149
Digging Deeper into Predictionsp. 150
Getting More Practice with Expected Values and Differencesp. 150
Chapter 17 Two-Way Tables and Independencep. 153
The Problems You'll Work Onp. 153
What to Watch Out Forp. 153
Introducing Variables and Two-Way Tablesp. 154
Reading a Two-Way Tablep. 154
Interpreting a Two-Way Table by Using Percentagesp. 156
Interpreting a Two-Way Table by Using Countsp. 156
Connecting Conditional Probabilities to Two-Way Tablesp. 157
Investigating Independent Variablesp. 158
Calculating Marginal Probability and Morep. 159
Adding Joint Probability to the Mixp. 160
Digging Deeper into Conditional and Marginal Probabilitiesp. 161
Figuring Out the Number of Cells in a Two-Way Tablep. 162
Including Conditional Probabilityp. 162
Digging into Research Designsp. 163
Digging Deeper into Two-Way Tablesp. 163
Part II The Answersp. 165
Chapter 18 Answersp. 167
Appendix: Tables for Referencep. 469
Indexp. 481