1,001 statistics practice problems for dummies
Book - 2014
1001 practice statistics problems with answers and solution explanations.
Saved in:
- Subjects
- Published
-
Hoboken, NJ :
John Wiley & Sons
[2014]
©2014 - Language
- English
- Other Authors
- Item Description
- Includes index.
- Physical Description
- x, 488 pages : illustrations ; 26 cm
- ISBN
- 9781118776049
- Introduction
- What You'll Find
- How This Workbook Is Organized
- Part I. The Questions
- Part II. The Answers
- Beyond the Book
- What you'll find online
- How to register
- Where to Go for Additional Help
- Part I. The Questions
- Chapter 1. Basis Vocabulary
- The Problems You'll Work On
- What to Watch Out For
- Picking Out the Population, Sample, Parameter, and Statistic
- Distinguishing Quantitative and Categorical Variables
- Getting a Handle on Bias, Variables, and the Mean
- Understanding Different Statistics and Data Analysis Terms
- Using Statistical Techniques
- Working with the Standard Deviation
- Chapter 2. Descriptive Statistics
- The Problems You'll Work On
- What to Watch Out For
- Understanding the Mean and the Median
- Surveying Standard Deviation and Variance
- Employing the Empirical Rule
- Measuring Relative Standing with Percentiles
- Delving into Data Sets and Descriptive Statistics
- Chapter 3. Graphing
- The Problems You'll Work On
- What to Watch Out For
- Interpreting Pie Charts
- Considering Three-Dimensional Pie Charts
- Interpreting Bar Charts
- Introducing Other Graphs
- Interpreting Histograms
- Digging Deeper into Histograms
- Comparing Histograms
- Describing the Center of a Distribution
- Interpreting Box Plots
- Comparing Two Box Plots
- Comparing Three Box Plots
- Interpreting Time Charts
- Getting More Practice with Histograms
- Chapter 4. Random Variables and the Binomial Distribution
- The Problems You'll Work On
- What to Watch Out For
- Comparing Discrete and Continuous Random Variables
- Understanding the Probability Distribution of a Random Variable
- Determining the Mean of a Discrete Random Variable
- Digging Deeper into the Mean of a Discrete Random Variable
- Working with the Variance of a Discrete Random Variable
- Putting Together the Mean, Variance, and Standard Deviation of a Random Variable
- Digging Deeper into the Mean, Variance, and Standard Deviation of a Random Variable
- Introducing Binomial Random Variables
- Figuring Out the Mean, Variance, and Standard Deviation of a Binomial Random Variable
- Finding Binomial Probabilities with a Formula
- Digging Deeper into Binomial Probabilities Using a Formula
- Finding Binomial Probabilities with the Binomial Table
- Digging Deeper into Binomial Probabilities Using the Binomial Table
- Using the Normal Approximation to the Binomial
- Digging Deeper into the Normal Approximation to the Binomial
- Getting More Practice with Binomial Variables
- Chapter 5. The Normal Distribution
- The Problems You'll Work On
- What to Watch Out For
- Defining and Describing the Normal Distribution
- Working with z-Scores and Values of X
- Digging Deeper into z-Scores and Values of X
- Writing Probability Notations
- Introducing the Z-Table
- Finding Probabilities for a Normal Distribution
- Digging Deeper into z-Scores and Probabilities
- Figuring Out Percentiles for a Normal Distribution
- Digging Deeper into Percentiles for a Normal Distribution
- Getting More Practice with Percentiles
- Chapter 6. The t-Distribution
- The Problems You'll Work On
- What to Watch Out For
- Understanding the f-Distribution and Comparing It to the Z-Distribution
- Using the t-Table
- Using the t-Distribution to Calculate Confidence Intervals
- Chapter 7. Sampling Distributions and the Central Limit Theorem
- The Problems You'll Work On
- What to Watch Out For
- Introducing the Basics of Sampling Distributions
- Checking Out Random Variables and Sample Means
- Examining Standard Error
- Surveying Notation and Symbols
- Understanding What Affects Standard Error
- Digging Deeper into Standard Error
- Connecting Sample Means and Sampling Distributions
- Digging Deeper into Sampling Distributions of Sample Means
- Looking at the Central Limit Theorem
- Getting More Practice with Sample Mean Calculations
- Finding Probabilities for Sample Means
- Digging Deeper into Probabilities for Sample Means
- Adding Proportions to the Mix
- Figuring Out the Standard Error of the Sample Proportion
- Using the Central Limit Theorem for Proportions
- Matching z-Scores to Sample Proportions
- Finding Approximate Probabilities
- Getting More Practice with Probabilities
- Digging Deeper into Approximate Probabilities
- Chapter 8. Finding Room for a Margin of Error
- The Problems You'll Work On
- What to Watch Out For
- Defining and Calculating Margin of Error
- Using the Formula for Margin of Error When Estimating a Population Mean
- Finding Appropriate z * -Values for Given Confidence Levels
- Connecting Margin of Error to Sample Size
- Getting More Practice with the Formula for Margin of Error
- Linking Margin of Error and Population Proportion
- Chapter 9. Confidence Intervals: Basics for Single Population Means and Proportions
- The Problems You'll Work On
- What to Watch Out For
- Introducing Confidence Intervals
- Checking Out Components of Confidence Intervals
- Interpreting Confidence Intervals
- Spotting Misleading Confidence Intervals
- Calculating a Confidence Interval for a Population Mean
- Determining the Needed Sample Size
- Introducing a Population Proportion
- Connecting a Population Proportion to a Survey
- Calculating a Confidence Interval for a Population Proportion
- Digging Deeper into Population Proportions
- Getting More Practice with Population Proportions
- Chapter 10. Confidence Intervals tor Two Population Means and Proportions
- The Problems You'll Work On
- What to Watch Out For
- Working with Confidence Intervals and Population Proportions
- Digging Deeper into Confidence Intervals and Population Proportions
- Working with Confidence Intervals and Population Means
- Making Calculations When Population Standard Deviations Are Known
- Digging Deeper into Calculations When Population Standard Deviations Are Known
- Working with Unknown Population Standard Deviations and Small Sample Sizes
- Digging Deeper into Unknown Population Standard Deviations and Small Sample Sizes
- Chapter 11. Claims, Tests, and Conclusions
- The Problems You'll Work On
- What to Watch Out For
- Knowing When to Use a Hypothesis Test
- Setting Up Null and Alternative Hypotheses
- Finding the Test Statistic and the p-Value
- Making Decisions Based on Alpha Levels and Test Statistics
- Making Conclusions
- Understanding Type I and Type II Errors
- Chapter 12. Hypothesis Testing Basics for a Single Population Mean: z- and t-Tests
- The Problems You'll Work On
- What to Watch Out For
- Knowing What You Need to Run a z-Test
- Determining Null and Alternative Hypotheses
- Introducing p-Values
- Calculating the z-Test Statistic
- Finding p-Values by Doing a Test of One Population Mean
- Drawing Conclusions about Hypotheses
- Digging Deeper into p-Values
- Digging Deeper into Conclusions about Hypotheses
- Digging Deeper into Null and Alternative Hypotheses
- Knowing When to Use a t-Test
- Connecting Hypotheses to t-Tests
- Calculating Test Statistics
- Working with Critical Values of t
- Linking p-Values and t-Tests
- Drawing Conclusions from t-Tests
- Performing a t-Test for a Single Population Mean
- Drawing More Conclusions from t-Tests
- Chapter 13. Hypothesis Tests for One Proportion, Two Proportions, or Two Population Means
- The Problems You'll Work On
- What to Watch Out For
- Testing One Population Proportion
- Comparing Two Independent Population Means
- Digging Deeper into Two Independent Population Means
- Getting More Practice with Two Independent Population Means
- Using the Paired t-Test
- Digging Deeper into the Paired t-Test
- Comparing Two Population Proportions
- Digging Deeper into Two Population Proportions
- Chapter 14. Surveys
- The Problems You'll Work On
- What to Watch Out For
- Planning and Designing Surveys
- Selecting Samples and Conducting Surveys
- Chapter 15. Correlation
- The Problems You'll Work On
- What to Watch Out For
- Interpreting Scatter Plots
- Creating Scatter Plots
- Understanding What Correlations Indicate
- Digging Deeper into Scatter Plots
- Digging Deeper into What Correlations Indicate
- Calculating Correlations
- Noting How Correlations Can Change
- Looking at the Properties of Correlations
- Digging Deeper into How Correlations Can Change
- Making Conclusions about Correlations
- Getting More Practice with Scatter Plots and Correlation Changes
- Making More Conclusions about Correlations
- Chapter 16. Simple Linear Regression
- The Problems You'll Work On
- What to Watch Out For
- Introducing the Regression Line
- Knowing the Conditions for Regression
- Examining the Equation for Calculating the Least-Squares Regression Line
- Finding the Slope and y-Intercept of a Regression Line
- Seeing How Variables Can Change in a Regression Line
- Finding a Regression Line
- Digging Deeper into Finding a Regression Line
- Connecting to Correlation and Linear Relationships
- Determining Whether Variables Are Candidates for a Linear Regression Analysis
- Digging Deeper into Correlations and Linear Relationships
- Describing Linear Relationships
- Getting More Practice with Finding a Regression Line
- Making Predictions
- Figuring Out Expected Values and Differences
- Digging Deeper into Expected Values and Differences
- Digging Deeper into Predictions
- Getting More Practice with Expected Values and Differences
- Chapter 17. Two-Way Tables and Independence
- The Problems You'll Work On
- What to Watch Out For
- Introducing Variables and Two-Way Tables
- Reading a Two-Way Table
- Interpreting a Two-Way Table by Using Percentages
- Interpreting a Two-Way Table by Using Counts
- Connecting Conditional Probabilities to Two-Way Tables
- Investigating Independent Variables
- Calculating Marginal Probability and More
- Adding Joint Probability to the Mix
- Digging Deeper into Conditional and Marginal Probabilities
- Figuring Out the Number of Cells in a Two-Way Table
- Including Conditional Probability
- Digging into Research Designs
- Digging Deeper into Two-Way Tables
- Part II. The Answers
- Chapter 18. Answers
- Appendix: Tables for Reference
- Index