Pad 8:38 PM a instructure-uploads s3.amazonaws.com Short Answer Questions 7. An

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Pad 8:38 PM a instructure-uploads s3.amazonaws.com Short Answer Questions 7. An investigator conducts a one-sample t-test and gets a value for t of +3.41 What does this number mean? The p-value for this test is.015. What does this number mean? 8. What general strategy do the z-test, one-sample t-test, and an independent samples t-test (two sample t-test) have in common? What is the basic logic behind these tests of statistical inference? 9. How are the alpha level for a statistical test and the critical value of the test statistic for that test related to each other? Short Answer Questions

Explanation / Answer

7:

Here t = 3.41 shows the value of test statistics. It is based on population mean used to define hypothesis and based on sample data.

The p-value is 0.15. It shows the probability of getting sample results if null hypothesis is true.

Since p-value is large so we fail to reject the null hypothesis.

8:

These tests are parametric tests. All these makes inference about the population mean (or population means). All these tests needs that either population should be normally distributed or sampe size should be large.

These tests make inference about population mean based on sample data.

9:

The alpha level, also known as level of signficance, is the maximum allowable type I error. After deciding the type I error researcher needs to find the critical value so find the rejection region.

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