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 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 | ✔ |