Use the t-distribution to analyze the mean of an approximately normal population when the population standard deviation is unknown. For example, one use of the t-distribution is to test …

2016年4月20日 · In this post, I will explain t-values, t-distributions, and how t-tests use them to calculate probabilities and assess hypotheses. What Are t-Values? T-tests are called t-tests …

To determine whether to reject the null hypothesis using the t-value, compare the t-value to the critical value. The critical value is t α/2, n–p-1, where α is the significance level, n is the …

A t-test is a hypothesis test of the mean of one or two normally distributed populations. Several types of t-tests exist for different situations, but they all use a test statistic that follows a t …

How would you use the t-distribution to find the p-value associated with a t-value of 2.8 for two-tailed t-test (in both directions)? Hint: In Minitab, adjust the options in step 5 to find the …

While some posts in our Minitab blog focus on understanding t-tests and t-distributions this post will focus more simply on how to hand-calculate the t-value for a one-sample t-test (and how to …

You can calculate the critical value in Minitab or find the critical value from a t-distribution table in most statistics books. For more information, go to Using the inverse cumulative distribution …

In statistics, t-tests are a type of hypothesis test that allows you to compare means. They are called t-tests because each t-test boils your sample data down to one number, the t-value. If …

Complete the following steps to interpret a 2-sample t-test. Key output includes the estimate for difference, the confidence interval, the p-value, and several graphs.

Student’s t distribution approaches the normal distribution as the sample size increases, but it never truly matches the shape of the normal distribution. Observe the Chi-square and F …