This tutorial covers the steps for calculating hypothesis tests and confidence intervals for a single proportion in StatCrunch. While this tutorial uses summary data, see Hypothesis tests and …

In addition to a hypothesis test, StatCrunch can also create a confidence interval for the population mean. For this example, in the window containing the hypothesis test results …

This tutorial covers the steps for computing one-sample hypothesis tests and confidence intervals in StatCrunch. To begin, load the Apple Juice Bottles data set, which will be used throughout …

Now, compute a separate t confidence interval for each of the samples. To do so, choose the Stat > T statistics > One sample > with data option within StatCrunch.

This tutorial covers the steps for calculating hypothesis tests and confidence intervals for a single proportion in StatCrunch. To begin, load the 50 Coin Flips data set, which will be used …

Under Perform, select Confidence intervals. By default, a value of 0.95 representing a 95% confidence level is provided for the Level input. If this value was changed to 0.99, a 99% …

Under Perform, choose Confidence interval for p1 - p2. By default, StatCrunch has a value of 0.95 for the Level input which will produce a 95% confidence interval for the difference between the …

This tutorial covers the steps for computing one-way ANOVA tests in StatCrunch. To begin, load the Telephone Holding Times data set, which will be used throughout this tutorial.

The natural question to ask about these intervals is how many of these intervals contain the true population mean of 10. To compute this number using StatCrunch, choose the Data > …

This tutorial covers how to use the StatCrunch calculators for continuous distributions. StatCrunch offers such calculators for the beta, Cauchy, chi-square, exponential, f, gamma, normal, t and …