- Covers all the popular statistical tests: t-tests, proportion tests, chi-square, z-score converter, regression and sample sizes calculators (22 total calculators)
- No learning curve: just copy and paste your data into excel—no complicated installations or complex syntax to use
- Sample data already shows you what results look like
- No hidden computations see the cell formulas to better understand how the statistical tests are computed
- Customize the formulas or integrate the calculators with other Excel files and using Excel's built-in graphing and other statistical functions
- Easily share results using excel or link the calculators to other workbooks
Who Should Buy
- Professionals who want an easy way to conduct the most common statistical tests without the hassle of installations and learning complicated statistical packages—if you can use excel you can use the EasyStats Excel Calculator Package !
- Students trying to learn statistics by seeing the calculations and detailed output for all the statistical tests typically covered in introductory statistics courses.
Select Sample Screen ShotsHome Page
The Home-Page provides an easy starting point for calculators. | Simple Linear Regression
Provides the correlation, r-squared value, p-value, regression equation, predicted values and confidence intervals around predictions. | Sample Size for Proportions
Just enter the ideal margin of error to determine the sample size. Includes a changeable confidence level and a graph that allows you to visualize how a smaller margin of error requires a larger sample size. | 2-Sample t-test
Enter either summary data or raw data (not shown) to quickly look for significant differences. The calculator provides p-values for equal or unequal variances, confidence interval around the difference and a graph that updates automatically. |
| Statistical Tests
- 1-sample t-test (Summary & Raw Data)
- 2-sample t-test (Summary & Raw Data)
- Paired-t test
- Sample Size for a Mean
- Sample Size for a Proportion
- 1-Proportion Test
- 2-Proportion Test
- Chi-Square Test of Independence
- Chi-Square Goodness of Fit
- Confidence Intervals for a Mean (Summary & Raw Data)
- Confidence Interval for a Proportion (Summary & Raw Data)
- Simple Linear Regression
- Correlation
- 1-Way ANOVA
- 1-Sample Z-test
- Z-score to Percent Conversion
- Percent to Z-score Conversion
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