Discovering Statistics, 2nd Edition
1.1 - 1.3 Getting Started
2.1 - 2.4 The Reality of Conducting a Study
- Examples
- Example 2.1
- Example 2.2
2.5 - 2.6 Levels of Measurement
- Examples
- Example 2.4
- Example 2.5
4.1 - 4.3a Measures of Location
4.1 - 4.3b Measures of Dispersion
4.1 - 4.3c Constructing Samples
4.4 Measures of Relative Position
4.5 - 4.10 Applying the Standard Deviation
5.2 - 5.5 Scatter Plots and Correlation
- Examples
- Example 5.1
5.6 - 5.9 Fitting a Linear Model
- Examples
- Example 5.2
8.3a Introduction to the Normal Curve
8.3b Reading a Normal Curve Table
8.4a The Normal Distribution
8.4b z - Transformations
- Examples
- Example 8.8: Finding the z-Value with a Given Area to Its Left
- Example 8.9: Finding the z-Value with a Given Area to Its Left
- Example 8.10: Finding the z-Value That Represents a Given Percentile
- Example 8.11: Finding the z-Value with a Given Area to Its Right
- Example 8.12: Finding the z-value with a given area between −z and z
- Example 8.13: Finding the z-Value with a Given Area in the Tails to the Left of −z and to the Right of z
- Example 8.16: Finding the Value of a Normally Distributed Random Variable That Represents a Given Percentile
8.5 Approximations to Other Distributions
9.1 - 9.5 Random Samples and Sampling Distributions
- Examples
- Example 9.1
9.6 - 9.7 The Distribution of the Sample Mean and the Central Limit Theorem
9.8 The Distribution of the Sample Proportion
- Examples
- Example 9.5
- Example 9.6
10.1 - 10.4 Interval Estimation of the Population Mean
- Examples
- Example 10.1
- Example 10.2
10.5a Student's t-Distribution
- Examples
- Example 10.3: Finding the Value of
- Example 10.4: Finding the Value of t Given the Area to the Right
- Example 10.5: Finding the Value of t Given the Area to the Left
- Example 10.6: Finding the Value of t Given the Area in Two Tails
- Example 10.7: Finding the Value of t Given Area between −t and t
- Example 10.8: Finding the Critical t-Value for a Confidence Interval
10.5b Interval Estimation of the Population Mean for a Normal Population with Sigma Unknown
- Examples
- Example 10.9
- Example 10.10
10.6 Precision and Sample Size
10.7 - 10.9 Estimating Population Attributes
11.1 - 11.3 Developing a Hypothesis and Reaching a Conclusion
11.4a Hypothesis Testing Means (P Value)
- Examples
- Example 11.5: Formulating Hypotheses
- Example 11.6: Hypothesis Test Using Rejection Regions
- Example 11.7: P-Value for a One-Tailed Test
- Example 11.8: P-Value for a Two-Tailed Test
- Example 11.9: Conclusions Using P-Value
- Example 11.10: Hypothesis Test Using P-Value
- Example 11.11: Hypothesis Test Using P-Value
11.4b Hypothesis Testing Means (z Value)
- Examples
- Example 11.12
- Example 11.13
11.4c Hypothesis Testing Means (t Value)
- Examples
- Example 11.14
- Example 11.15
12.1a Hypothesis Testing Proportions (P Value)
- Examples
- Example 12.1: Formulating Hypotheses
- Example 12.2: Hypothesis Testing Using Rejection Regions
- Example 12.3: P-Value for a One-Tailed Test
- Example 12.4: P-Value for a Two-Tailed Test
- Example 12.5: Conclusions Using P-Value
- Example 12.6: Hypothesis Test Using P-Value
- Example 12.7: Hypothesis Test Using P-Value
12.1b Hypothesis Testing Proportions (z Value)
12.2 Testing Hypothesis about a Population Variance
12.3a Comparing Two Means (Large Independent Samples)
12.3b Comparing Two Means (Small Independent Samples)
- Examples
- Example 12.12
12.4 Paired Difference
- Examples
- Example 12.13
12.5 Comparing Two Population Proportions
- Examples
- Example 12.14
14.2, 14.4 ANOVA
- Examples
- Example 14.1
- Example 14.2
17.3 Monitoring with an x-bar Chart
- Examples
- Example 17.1
- Example 17.2
17.4 Monitoring with an R Chart
- Examples
- Example 17.3
17.5 Monitoring with a p Chart
- Examples
- Example 17.4: p-Charts
A.1 The Process of a Statistical Study
- Examples
- Example A1.1: Identifying Population and Variables
- Example A1.2: Identifying Observational Studies and Experiments
- Example A1.3: Identifying Sampling Methods
- Example A1.4: Classifying Studies as Cross-Sectional or Longitudinal
- Example A1.5: Classifying Studies as Meta-Analysis or Case Study
- Example A1.6: Analyzing an Experiment
A.2 Games of Chance
A.3 Name that Distribution
A.4 Comparing Two Means (Large, Independent Samples)
A.5 Comparing Two Means (Small, Independent Samples)
A.6 Comparing Two Means (Dependent Samples)
- Examples
- Example A6.1: Calculating Paired Differences
- Example A6.2: Finding a Point Estimate for the Mean of the Paired Differences for Two Populations (σ Unknown, Dependent Samples)
- Example A6.3: Constructing a Confidence Interval for the Mean of the Paired Differences for Two Populations (σ Unknown, Dependent Samples)
A.7 Comparing Two Proportions (Large, Independent Samples)
A.8 Comparing Two Population Variances
- Examples
- Example A8.1: Calculating the Point Estimate for Comparing Two Population Variances and Finding Critical F-Values
- Example A8.2: Constructing a Confidence Interval for the Ratio of Two Population Variances
- Example A8.3: Constructing a Confidence Interval for the Ratio of Two Population Standard Deviations
A.9 Direct Mail
A.10 Type II Errors
A.11 Hypothesis Testing - Two Population Variances
A.12 Estimating Population Variance
- Examples
- Example A12.1: Finding Point Estimates for the Population Standard Deviation and Variance
- Example A12.2: Constructing a Confidence Interval for a Population Variance
- Example A12.3: Constructing a Confidence Interval for a Population Standard Deviation
- Example A12.4: Constructing a Confidence Interval for a Population Variance
- Example A12.5: Constructing a Confidence Interval for a Population Standard Deviation
- Example A12.6: Finding the Minimum Sample Size Needed for a Confidence Interval for a Population Standard Deviation
A.13 c-Charts
- Examples
- Example A13.1: c-Charts