- Graph a rejection region in minitab express how to#
- Graph a rejection region in minitab express download#
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Graph a rejection region in minitab express download#
![graph a rejection region in minitab express graph a rejection region in minitab express](https://i.stack.imgur.com/gVwaj.png)
Mass Communication / Public Relations / Film.Our conclusion in this case is that the means of the two data sets are equal. Therefore we fail to reject the null hypothesis which was (H0): μ1 = μ2. Since the p-value of the t-test (assuming equal variance) is 0.665, it’s greater than the alpha level of 0.05.
![graph a rejection region in minitab express graph a rejection region in minitab express](https://support.minitab.com/en-us/minitab-express/1/probplot_percentage_tooltip_student.png)
The key statistical output provided by Minitab when running a 2-sample t test is the P-Value. The mean of state A and state B, the number of data points for each state represented by ‘N’ as well as each standard deviation. Take notice of a couple of important bits of information provided by the output.
Graph a rejection region in minitab express how to#
The results for our study of how to run a 2-sample t test in Minitab (when σ 1 = σ 2) appear automatically in the session window after clicking “OK.” Minitab’s output is below.
![graph a rejection region in minitab express graph a rejection region in minitab express](https://online.stat.psu.edu/stat200/sites/stat200_fa21/files/inline-images/ztwotail2542.png)
Step 3: Click in the blank box next to “Sample IDs” and the “State” appears in the list box on the left.Ĭheck the box that says “Assume Equal Variances”Ĭlick “OK” to save, and click “OK” again to run the test. Step 2: Click in the blank box next to “Samples” and the “Gas Price” appears in the list box on the left. Step 1: Click Stat → Basic Statistics → 2-Sample t.Ī new window named “Two-Sample t for the Mean” pops up. Where μ1 is the mean of one population and μ2 is the mean of the other population of our interest. The hypothesis will be: Null Hypothesis (H0): μ1 = μ2 Alternative Hypothesis (Ha): μ1 ≠ μ2 We will use a data set assuming that each data set is normally distributed with equal variances. Once you have the file open in Minitab we will be comparing the price of gasoline between State A and State B. Clicking the previous link will download the file for your use. In this example, we will be using a 2-Sample t data file for Minitab. The 2-sample T test runs a comparison of two categories within the same categorical variable, which becomes valuable when trying to answer questions that involve understanding the effects of the addition of a program or change to a sample of subjects. A 2-sample T test is a hypothesis test is a hypothesis test to study whether there is a statistically significant difference between the means of two populations. When working with data sets in six sigma projects, often there will be a need to compare two groups to each other.