StatCrunch Examples

Basics:

Graphs:

- Simple bar plots with raw data
- Simple bar plots with summary data
- Pie charts from raw data
- Pie charts with summary data
- Split and stacked bar plots
- Charting values across multiple columns
- Histograms
- Dotplots
- Stem and leaf plots
- Boxplots with a group by column
- Scatter plots
- Bubble plots
- Painting/annotating graphs

Summary Statistics and Tables:

- Summary statistics for columns
- Summary statistics for rows
- Frequency tables
- Contingency tables from raw data
- Contingency tables from summary data

Traditional Hypothesis Tests For:

- A mean with raw data
- A mean with summary data
- A proportion with raw data
- A proportion with summary data
- The difference between two means with raw data
- The difference between two means with summary data
- The difference between means with paired data
- The difference between two proportions with raw data
- The difference between two proportions with summary data

Randomization Hypothesis Tests For:

Confidence Intervals For:

- A mean with raw data
- A mean with summary data
- A proportion with raw data
- A proportion with summary data
- The difference between two means with raw data
- The difference between two means with summary data
- The difference between means with paired data
- The difference between two proportions with raw data
- The difference between two proportions with summary data

Regression and Correlation:

ANOVA:

Graphical Calculators For:

Surveys:

Study Card Examples:

- Data > Load > From ﬁle
- Data > Compute Expression
- Data > Simulate
- Data > Sample
- Graph > Bar Plot
- Graph > Histogram
- Graph > Boxplot
- Graph > Scatter Plot
- Interacting with Graphics
- Stat > Summary Stats > Columns
- Stat > Tables > Frequency
- Stat > Tables > Contingency > With Summary
- Stat > Tables > Contingency > With Data
- Stat > Proportion Stats > One Sample
- Stat > Proportion Stats > Two Sample
- Stat > T Stats > One Sample
- Stat > T Stats > Two Sample
- Stat > T Stats > Paired
- Stat > Regression > Simple Linear
- Stat > Regression > Multiple Linear
- Stat > ANOVA > One Way
- Stat > ANOVA > Two Way
- Stat > Calculators

Always Learning
Pearson