Question

1. A. Give an example of dependent samples. B. Give an example of independent samples. C. When do you reject the null hypothesis? D. Why don't we enter a value into the hypothesis in statcrunch (why is it kept at zero)? E. What is the only type of 2 sample mean test do we do?

Answer 1

vo of one Somple can be used 2 If the Salution : O Dependent Sumples Two Samples are dependent je to determine the members the members of the other Sample Example : - (Attached below) Values in one Sample reveal no those of other Sample then the samples are incependent. Example (Alached below). ③ We assume that the null hypothesis is correct until we have enough evidence to suggest otherwise. After you performe two only possible outcomes When your P- value is less than ar equal to your significance level, you reject the null hypothesis. information about hypothesis test, there are CSScanned with CamScanner

y It is not because of Stuterunch, but it is general thing Azero value is kept fixed for the hypothesis testing in Stafcrunch inspite of putting any value into the hypothesis. © Because it is applied to Compare whether the au average difference between two group is really significant or if it is due instead to random chance often we wish to Compare two samples, in order to inferences about possible differences between Subjects in different experimental conditions. is make csscanned withCamScanner

Example of collecting dependent samples and independent samples Consider a drug company that wants to test the effectiveness of a new drug in reducing blood pressure. They could collect data in two ways: Sample the blood pressures of the same people before and after they receive a dose. The two samples are dependent because they are taken from the same people. The people with the highest blood pressure in the first sample will likely have the highest blood pressure in the second sample.

• Give one group of people an active drug and give a different group of people an inactive placebo, then compare the blood pressures between the groups. These two samples would likely be independent because the measurements are from different people. Knowing something about the distribution of values in the first sample doesn't inform you about the distribution of values in the second.
Attaching Basics of hypothesis testing, for your better understanding.