Stats Calculation Resources
We are using Classpad, Geogebra and Stapplet in regular Statistics (not AP) on homework and tests so you don't need a graphing calculator to complete assignments. If you have a TI-84 and would like to learn how to use it visit my TI-84 How To's page under AP Stats.
- Calculating One-Variable Statistics for a list or column on data.
- Calculating One-Variable Statistics for a Frequency Table.
- Creating a Box-and Whisker Plot from a List of Data
- Calculating a Linear Regression for a set of data.
- Binomial Distribution Geogebra Applet
- Normal Distribution
- Calculate Inverse z for a given Confidence level (put in the area to the left).
- Confidence Intervals (One Sample)
- One-Sample Z Interval for a Proportion
- One-Sample Z Interval for a Mean
- One-Sample t Interval for a Mean
- Calculate Inverse t for a given Confidence level (put in the area to the left).
- Calculate Inverse z for a given Confidence level (put in the area to the left).
- Hypothesis Tests for Means when the mean is known (1-Sample Z Test for a Mean)
- Hypotheses Tests for Means when the mean is unknown (1-Sample T Test for a mean)
- If you have the stats for the sample you can use the Geogebra applet above, just choose T Test of a Mean. If you don't have the standard deviation for the sample, you can just calculate it using one variable statistics. (see above)
- If you just want to enter a list of data then Stapplet is easier: 1-sample t-test from stapplet
- You'll see One Quantitative Variable, Single Group. Name the variable
- Select an input: Either "Raw data" or "Mean and standard deviation"
- Input in the data or stats depending on your selection then click on "Begin Analysis"
- Perform Inference: Select "1-sample t test"
- Select the correct form of the alternative hypothesis: either >, <, or not equal to
- Input the hypothesized mean and click on "Perform inference".
- Output shows the t statistic, the p-value and df, the degrees of freedom.
- Hypothesis Tests for the Difference of means (2-Sample T Test for the difference of means)