Beginning Statistics, Third Edition
Technology Instructions
What follows are step-by-step instructions for using various types of technology to evaluate statistical concepts.
Chapters
Chapter 1: Introduction to Statistics
- 1.3: The Process of a Statistical Study
Chapter 2: Graphical Descriptions of Data
- 2.1: Frequency Distributions
- 2.2: Graphical Displays of Data
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Graphs > Bar Charts
Excel | MinitabⓇ | R | Rguroo | SPSS | JMP -
Graphs > Choropleth Map (County)
R | JMP -
Graphs > Dot plot
Excel | MinitabⓇ | Rguroo | SPSS | JMP -
Graphs > Histograms
TI Calculator | Excel | MinitabⓇ | R | Rguroo | SPSS | JMP -
Graphs > Line Graphs
TI Calculator | Excel | MinitabⓇ | Rguroo | SPSS | JMP -
Graphs > Pareto Chart
Excel | MinitabⓇ | Rguroo | SPSS | JMP -
Graphs > Pie Charts
Excel | MinitabⓇ | Rguroo | SPSS | JMP -
Graphs > Stem-and-Leaf Plot
MinitabⓇ | Rguroo | SPSS | JMP
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Graphs > Bar Charts
Chapter 3: Numerical Descriptions of Data
- 3.1: Measures of Center
- 3.2: Measures of Dispersion
- 3.3: Measures of Relative Position
Chapter 4: Probability, Randomness, and Uncertainty
- 4.4: 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
- 4.5: Combining Probability and Counting Techniques
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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 5: Discrete Probability Distributions
- 5.1: Discrete Random Variables
- 5.2: 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)
- 5.3: Poisson Distribution
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Poisson Distribution > Poisson Probability (cdf)
TI Calculator | Excel | R | Rguroo -
Poisson Distribution > Poisson Probability (pdf)
TI Calculator | Excel | R | Rguroo -
Poisson Distribution > Poisson Probability Distribution
TI Calculator | Excel | MinitabⓇ | Rguroo
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Poisson Distribution > Poisson Probability (cdf)
- 5.4: Hypergeometric Distribution
Chapter 6: Normal Probability Distributions
- 6.2: The Standard Normal Distribution
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Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo
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Normal Distribution > Normal Probability (cdf)
- 6.3: Finding Probability Using a Normal Distribution
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Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo
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Normal Distribution > Normal Probability (cdf)
- 6.4: Finding Values of a Normally Distributed Random Variable
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Normal Distribution > Inverse Normal
TI Calculator | Excel | MinitabⓇ | Rguroo
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Normal Distribution > Inverse Normal
- 6.5: Approximating a Binomial Distribution Using a Normal Distribution
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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 7: The Central Limit Theorem
- 7.2: Central Limit Theorem with Means
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Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo
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Normal Distribution > Normal Probability (cdf)
- 7.3: Central Limit Theorem with Proportions
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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 8: Confidence Intervals
- 8.1: Estimating Population Means (Sigma Known)
- 8.2: Student's t-Distribution
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t-Distribution > Inverse t
TI Calculator | Excel | MinitabⓇ | R | Rguroo
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t-Distribution > Inverse t
- 8.3: Estimating Population Means (Sigma Unknown)
- 8.4: Estimating Population Proportions
- 8.5: Estimating Population Variances
Chapter 9: Confidence Intervals for Two Samples
- 9.1: Comparing Two Population Means (Sigma Known, Independent Samples)
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Confidence Intervals > Two Sample z-Interval
TI Calculator | R | Rguroo
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Confidence Intervals > Two Sample z-Interval
- 9.2: Comparing Two Population Means (Sigma Unknown, Independent Samples)
- 9.3: Comparing Two Population Means (Sigma Unknown, Dependent Samples)
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Confidence Intervals > Two Sample t-Interval (Dependent Samples, Paired Difference)
TI Calculator | MinitabⓇ | Rguroo
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Confidence Intervals > Two Sample t-Interval (Dependent Samples, Paired Difference)
- 9.4: Comparing Two Population Proportions
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Confidence Intervals > Two Sample Proportions z-Interval
TI Calculator | Excel | MinitabⓇ | Rguroo | JMP
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Confidence Intervals > Two Sample Proportions z-Interval
Chapter 10: Hypothesis Testing
- 10.2: Hypothesis Testing for Population Means (Sigma Known)
- 10.3: Hypothesis Testing for Population Means (Sigma Unknown)
- 10.4: Hypothesis Testing for Population Proportions
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Hypothesis Testing > One Proportion z-Test
TI Calculator | Excel | MinitabⓇ | Rguroo
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Hypothesis Testing > One Proportion z-Test
- 10.5: Hypothesis Testing for Population Variances
- 10.6: Chi-Square Test for Goodness of Fit
- 10.7: Chi-Square Test for Association
Chapter 11: Hypothesis Testing (Two or More Populations)
- 11.1: Hypothesis Testing: Two Population Means (Sigma Known, Independent Samples)
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Hypothesis Testing > Two Sample z-Test
TI Calculator | Excel | Rguroo | JMP -
Normal Distribution > Normal Probability (cdf)
TI Calculator | Excel | MinitabⓇ | R | Rguroo
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Hypothesis Testing > Two Sample z-Test
- 11.2: Hypothesis Testing: Two Population Means (Sigma Unknown, Independent Samples)
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Hypothesis Testing > Two Sample t-Test (Independent Samples)
TI Calculator | Excel | MinitabⓇ | Rguroo | SPSS
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Hypothesis Testing > Two Sample t-Test (Independent Samples)
- 11.3: Hypothesis Testing: Two Population Means (Sigma Unknown, Dependent Samples)
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Hypothesis Testing > Two Sample t-Test (Dependent Samples, Paired Difference)
TI Calculator | Excel | MinitabⓇ | Rguroo | JMP
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Hypothesis Testing > Two Sample t-Test (Dependent Samples, Paired Difference)
- 11.4: Hypothesis Testing: Two Population Proportions
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Hypothesis Testing > Two Proportion z-Test
TI Calculator | Excel | MinitabⓇ | Rguroo | JMP
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Hypothesis Testing > Two Proportion z-Test
- 11.5: Hypothesis Testing: Two Population Variances
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Hypothesis Testing > Two Sample F-Test
TI Calculator | Excel | MinitabⓇ
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Hypothesis Testing > Two Sample F-Test
- 11.6: ANOVA (Analysis of Variance)
Chapter 12: Regression, Inference, and Model Building
- 12.1: Scatter Plots and Correlation
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Graphs > Scatterplot
Excel | MinitabⓇ | R | Rguroo | SPSS | JMP -
Regression > Correlation Coefficient
TI Calculator | Excel | R | Rguroo | SPSS -
Regression > Coefficient of Determination
TI Calculator | Excel | Rguroo -
Regression > Simple Linear Regression
TI Calculator | Excel | MinitabⓇ | R | Rguroo | SPSS | JMP
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Graphs > Scatterplot
- 12.2: Linear Regression
- 12.3: Regression Analysis
- 12.4: Multiple Regression