Technology Instructions
What follows are step-by-step instructions for using various types of technology to evaluate statistical concepts.
Topics
Check marks will lead to step-by-step instructions for each technology based on topic and sub-topic.
| Topic > Sub-Topic | TI Calculator | Excel | MinitabⓇ | R | Rguroo | SPSS | JMP |
|---|---|---|---|---|---|---|---|
| ANOVA > Fisher's LSD | ✔ | ✔ | |||||
| ANOVA > One-Way | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| ANOVA > Tukey's LSD | ✔ | ✔ | ✔ | ||||
| ANOVA > Two-Way | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Binomial Distribution > Binomial Probability (pdf) | ✔ | ✔ | ✔ | ✔ | |||
| Binomial Distribution > Binomial Probability Distribution | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Binomial Distribution > Binomial Probability (cdf) | ✔ | ✔ | ✔ | ✔ | |||
| Chi-Square Distribution > Critical Value | ✔ | ✔ | ✔ | ✔ | |||
| Chi-Square Distribution > Left Tailed Probability (cdf) | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Chi-Square Distribution > Right Tailed Probability (cdf) | ✔ | ✔ | ✔ | ✔ | |||
| Chi-Square Distribution > Test for Association | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Chi-Square Distribution > Test for Goodness of Fit | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Confidence Intervals > Proportion | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Confidence Intervals > t-Interval | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Confidence Intervals > z-Interval | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Confidence Intervals > Two Sample t-Interval (Dependent Samples, Paired Difference) | ✔ | ✔ | ✔ | ||||
| Confidence Intervals > Two Sample t-Interval (Independent Samples) | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Confidence Intervals > Two Sample z-Interval | ✔ | ✔ | ✔ | ✔ | |||
| Confidence Intervals > Two Sample Proportions z-Interval | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Confidence Intervals > Minimum Sample Size | ✔ | ✔ | |||||
| Confidence Intervals > Standard Deviation | ✔ | ✔ | ✔ | ✔ | |||
| Confidence Intervals > Variance | ✔ | ✔ | ✔ | ✔ | |||
| Counting > Combination | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Counting > Factorial | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Counting > Permutation | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Data Manipulation > Filtering | ✔ | ✔ | |||||
| Data Manipulation > Sorting | ✔ | ✔ | ✔ | ✔ | |||
| Data Manipulation > Subset Calculations | ✔ | ✔ | |||||
| Descriptive Statistics > One Variable | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Descriptive Statistics > Two Variable | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Discrete Random Variable > Expected Value | ✔ | ||||||
| F-Distribution > Critical Value | ✔ | ✔ | ✔ | ||||
| F-Distribution > F-Probability (cdf) | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Frequency Distribution > Qualitative Frequency Distribution | ✔ | ✔ | |||||
| Frequency Distribution > Quantitative Frequency Distribution | ✔ | ✔ | |||||
| Graphs > Bar Charts | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Graphs > Box Plot | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Graphs > Choropleth Map (County) | ✔ | ✔ | |||||
| Graphs > Dot plot | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Graphs > Histogram | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Graphs > Line Graph | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Graphs > Multivariate/Multidimensional | ✔ | ✔ | ✔ | ||||
| Graphs > Normal Probability Plot | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Graphs > Pareto Chart | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Graphs > Pie Chart | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Graphs > Scatterplot | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Graphs > Side-by-Side Bar Chart | ✔ | ✔ | |||||
| Graphs > Stacked Bar Chart | ✔ | ✔ | |||||
| Graphs > Stem-and-Leaf Plot | ✔ | ✔ | ✔ | ✔ | |||
| Graphs > Time Series | ✔ | ✔ | ✔ | ||||
| Hypergeometric Distribution > Hypergeometric Distribution | ✔ | ✔ | ✔ | ✔ | |||
| Hypothesis Testing > z-Test | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Hypothesis Testing > t-Test | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Hypothesis Testing > One Proportion z-Test | ✔ | ✔ | ✔ | ✔ | |||
| Hypothesis Testing > Two Proportion z-Test | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Hypothesis Testing > Two Sample t-Test (Dependent Samples, Paired Difference) | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Hypothesis Testing > Two Sample t-Test (Independent Samples) | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Hypothesis Testing > Two Sample z-Test | ✔ | ✔ | ✔ | ✔ | |||
| Hypothesis Testing > Two Sample F-Test | ✔ | ✔ | ✔ | ||||
| Nonparametric > Kruskal-Wallis Test | ✔ | ✔ | ✔ | ||||
| Nonparametric > Run Test for Randomness | ✔ | ||||||
| Nonparametric > Sign Test | ✔ | ✔ | |||||
| Nonparametric > Spearman Rank Correlation | ✔ | ✔ | ✔ | ||||
| Nonparametric > Wilcoxon Rank Sum | ✔ | ✔ | ✔ | ||||
| Nonparametric > Wilcoxon Signed Rank | ✔ | ✔ | ✔ | ✔ | |||
| Normal Distribution > Inverse Normal | ✔ | ✔ | ✔ | ✔ | |||
| Normal Distribution > Normal Probability (cdf) | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Normal Distribution > Normal Probability Graph | ✔ | ✔ | |||||
| Normal Distribution > Test for Normality | ✔ | ✔ | ✔ | ||||
| Poisson Distribution > Poisson Probability (cdf) | ✔ | ✔ | ✔ | ✔ | |||
| Poisson Distribution > Poisson Probability (pdf) | ✔ | ✔ | ✔ | ✔ | |||
| Poisson Distribution > Poisson Probability Distribution | ✔ | ✔ | ✔ | ✔ | |||
| q-Distribution > Critical Value | ✔ | ||||||
| Regression > Confidence Interval for Slope | ✔ | ||||||
| Regression > Confidence Intervals for Slope and y-Intercept | ✔ | ✔ | ✔ | ✔ | |||
| Regression > Correlation Coefficient | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| Regression > Coefficient of Determination | ✔ | ✔ | ✔ | ||||
| Regression > Hypothesis Testing for Slope Coefficient | ✔ | ✔ | |||||
| Regression > Linear Regression Fitted Line Plot with Confidence Interval | ✔ | ✔ | ✔ | ||||
| Regression > Linear Regression Fitted Line Plot with Prediction Interval | ✔ | ✔ | ✔ | ||||
| Regression > Multiple Regression | ✔ | ✔ | ✔ | ✔ | |||
| Regression > Multiple Regression Models with Qualitative Independent Variables | ✔ | ||||||
| Regression > Regression Prediction Intervals | ✔ | ✔ | ✔ | ||||
| Regression > Simple Linear Regression | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| Sampling > Random Samples | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| t-Distribution > Inverse t | ✔ | ✔ | ✔ | ✔ | ✔ | ||
| t-Distribution > t-Probability (cdf) | ✔ | ✔ | ✔ | ||||
| Time Series > Additive and Multiplicative Seasonal Smoothing (Holt-Winters) | ✔ | ||||||
| Time Series > Adjusted Exponential Smoothing | ✔ | ✔ | |||||
| Time Series > Forecasting Errors | ✔ | ||||||
| Time Series > Mean Absolute Percentage Error (MAPE) | ✔ | ||||||
| Time Series > Mean Absolute Deviation | ✔ | ✔ | |||||
| Time Series > Moving Average Plot | ✔ | ||||||
| Time Series > Mean Squared Error (MSE) | ✔ | ||||||
| Time Series > Simple Exponential Smoothing | ✔ | ✔ | ✔ | ✔ | |||
| Time Series > Simple Moving Average | ✔ | ✔ | ✔ | ||||
| Time Series > Weighted Moving Average | ✔ |