Discovering Statistics and Data, Third Edition
Technology Instructions
What follows are step-by-step instructions for using various types of technology to evaluate statistical concepts.
Chapters
Chapter 2: Data, Reality, and Problem Solving
- 2.3: Time Series Data vs. Cross-Sectional Data
Chapter 3: Visualizing Data
- 3.2: Displaying Qualitative Data Graphically
- 3.4: Histograms and Other Graphical Displays of Quantitative Data
Chapter 4: Describing Data from One Variable
- 4.1: Measures of Location
- 4.2: Measures of Dispersion
- 4.3: Measures of Relative Position, Box Plots, and Outliers
- 4.4: Data Subsetting
- 4.5: Analyzing Grouped Data
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Descriptive Statistics > Two Variable
TI Calculator | Excel | Rguroo | SPSS | JMP
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Descriptive Statistics > Two Variable
Chapter 5: Discovering Relationships
- 5.1: Scatterplots and Correlation
- 5.2: Fitting a Linear Model
- 5.5: Scatterplots for More Than Two Variables
Chapter 6: Probability, Randomness and Uncertainty
- 6.4: Combinations and Permutations
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Counting > Combination
TI Calculator | Excel | Minitab | R | Rguroo -
Counting > Factorial
TI Calculator | Excel | Minitab | R | Rguroo -
Counting > Permutation
TI Calculator | Excel | Minitab | R | Rguroo
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Counting > Combination
Chapter 7: Discrete Probability Distributions
- 7.2: Discrete Random Variables
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Descriptive Statistics > Two Variable
TI Calculator | Excel | Rguroo | SPSS | JMP
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Descriptive Statistics > Two Variable
- 7.4: The Binomial Distribution
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Binomial Distribution > Binomial Probability (pdf)
TI Calculator | Excel | R | Rguroo -
Binomial Distribution > Binomial Probability Distribution
TI Calculator | Excel | MinitabⓇ | R | Rguroo -
Binomial Distribution > Binomial Probability (cdf)
TI Calculator | Excel | R | Rguroo
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Binomial Distribution > Binomial Probability (pdf)
- 7.5: The Poisson Distribution
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Poisson Distribution > Poisson Probability Distribution
TI Calculator | Excel | MinitabⓇ | Rguroo -
Poisson Distribution > Poisson Probability (cdf)
TI Calculator | Excel | R | Rguroo -
Poisson Distribution > Poisson Probability (pdf)
TI Calculator | Excel | R | Rguroo
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Poisson Distribution > Poisson Probability Distribution
- 7.6: The Hypergeometric Distribution
Chapter 8: Continuous Probability Distributions
- 8.3: The Standard Normal Distribution
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Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo -
Normal Distribution > Inverse Normal
TI Calculator | Excel | MinitabⓇ | Rguroo
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Normal Distribution > Normal Probability (cdf)
- 8.4: Applications of the Normal Distribution
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Normal Distribution > Normal Probability Graph
TI Calculator | Rguroo -
Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo -
Normal Distribution > Inverse Normal
TI Calculator | Excel | MinitabⓇ | Rguroo
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Normal Distribution > Normal Probability Graph
- 8.5: Assessing Normality
- 8.6: Approximation to the Binomial Distribution
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Binomial Distribution > Binomial Probability (cdf)
TI Calculator | Excel | R | Rguroo
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Binomial Distribution > Binomial Probability (cdf)
Chapter 9: Samples and Sampling Distributions
- 9.1: Random Samples
- 9.4: The Distribution of the Sample Proportion
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Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo
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Normal Distribution > Normal Probability (cdf)
Chapter 10: Estimation: Single Samples
- 10.2: Interval Estimation of the Population Mean
- 10.3: Estimating the Population Proportion
- 10.4: Estimating the Population Standard Deviation or Variance
Chapter 11: Hypothesis Testing: Single Samples
- 11.2: Testing a Hypothesis about a Population Mean
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Graphs > Normal Probability Plot
Excel | R | Rguroo | SPSS | JMP -
Hypothesis Testing > t-Test
TI Calculator | Excel | MinitabⓇ | R | Rguroo | SPSS | JMP -
Hypothesis Testing > z-Test
TI Calculator | Excel | MinitabⓇ | R | Rguroo | JMP -
Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo -
t-Distribution > t-Probability (cdf)
TI Calculator | Excel | Rguroo
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Graphs > Normal Probability Plot
- 11.3: The Relationship Between Confidence Interval Estimation and Hypothesis Testing
- 11.4: Testing a Hypothesis about a Population Proportion
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Hypothesis Testing > One Proportion z-Test
TI Calculator | Excel | MinitabⓇ | Rguroo -
Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo
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Hypothesis Testing > One Proportion z-Test
- 11.5: Testing a Hypothesis about a Population Standard Deviation or Variance
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Chi-Square Distribution > Right Tailed Probability (cdf)
TI Calculator | Excel | R | Rguroo
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Chi-Square Distribution > Right Tailed Probability (cdf)
Chapter 12: Inferences about Two Samples
- 12.1: Inference about Two Means: Independent Samples
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Confidence Intervals > Two Sample z-Interval
TI Calculator | R | Rguroo -
Confidence Intervals > Two Sample t-Interval (Independent Samples)
MinitabⓇ | R | Rguroo | SPSS -
Hypothesis Testing > Two Sample z-Test
TI Calculator | Excel | Rguroo | JMP -
Hypothesis Testing > Two Sample t-Test (Independent Samples)
TI Calculator | Excel | MinitabⓇ | Rguroo | SPSS -
Graphs > Normal Probability Plot
Excel | R | Rguroo | SPSS | JMP -
t-Distribution > t-Probability (cdf)
TI Calculator | Excel | Rguroo
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Confidence Intervals > Two Sample z-Interval
- 12.2: Inference about Two Means: Dependent Samples (Paired Difference)
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Confidence Intervals > t-Interval
TI Calculator | Excel | MinitabⓇ | R | Rguroo | SPSS | JMP -
Graphs > Normal Probability Plot
Excel | R | Rguroo | SPSS | JMP -
Hypothesis Testing > t-Test
TI Calculator | Excel | MinitabⓇ | R | Rguroo | SPSS | JMP -
Hypothesis Testing > Two Sample t-Test (Dependent Samples, Paired Difference)
TI Calculator | Excel | MinitabⓇ | Rguroo | JMP -
t-Distribution > t-Probability (cdf)
TI Calculator | Excel | Rguroo -
Confidence Intervals > t-Interval
TI Calculator | Excel | MinitabⓇ | R | Rguroo | SPSS | JMP -
Confidence Intervals > Two Sample t-Interval (Dependent Samples, Paired Difference)
TI Calculator | MinitabⓇ | Rguroo
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Confidence Intervals > t-Interval
- 12.3: Inference about Two Population Proportions
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Confidence Intervals > Two Sample Proportions z-Interval
TI Calculator | Excel | MinitabⓇ | Rguroo | JMP -
Hypothesis Testing > Two Proportion z-Test
TI Calculator | Excel | MinitabⓇ | Rguroo | JMP
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Confidence Intervals > Two Sample Proportions z-Interval
Chapter 13: Regression, Inference, and Model Building
- 13.1: Assumptions of the Simple Linear Model
- 13.2: Inference Concerning β1
- 13.3: Inference Concerning the Model's Prediction
Chapter 14: Multiple Regression
- 14.1: The Multiple Regression Model
- 14.2: The Coefficient of Determination and Adjusted R2
- 14.4: Inference Concerning the Multiple Regression Model and Its Coefficients
- 14.5: Inference Concerning the Model's Prediction
Chapter 15: Analysis of Variance (ANOVA)
- 15.1: One-Way ANOVA
- 15.2: Two-Way ANOVA: The Randomized Block Design
- 15.3: Two-Way ANOVA: The Factorial Design
Chapter 16: Looking for Relationships in Qualitative Data
- 16.1: The Chi-Square Distribution
- 16.2: The Chi-Square Test for Goodness of Fit
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Chi-Square Distribution > Test for Goodness of Fit
TI Calculator | Excel | MinitabⓇ | Rguroo | SPSS | JMP -
Chi-Square Distribution > Right Tailed Probability (cdf)
TI Calculator | Excel | R | Rguroo
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Chi-Square Distribution > Test for Goodness of Fit
- 16.3: The Chi-Square Test for Association
Chapter 17: Nonparametric Tests
- 17.1: The Sign Test
- 17.2: The Wilcoxon Signed-Rank Test
- 17.3: The Wilcoxon Rank-Sum Test
- 17.4: The Rank Correlation Test
- 17.5: The Runs Test for Randomness
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Nonparametric > Runs Test for Randomness
MinitabⓇ
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Nonparametric > Runs Test for Randomness
- 17.6: The Kruskal-Wallis Test