Question

In: Statistics and Probability

1.A p-value of 0.000 in Stata means: A. There is absolutely no chance that the results...

1.A p-value of 0.000 in Stata means: A. There is absolutely no chance that the results are due to error. B. There is a probability of error, but it is less than .001. C. You should compute the test again. D. None of the above.

The following two-group comparisons can be formulated as which type of two-sample t tests?

2.Comparing the blood pressure between treatment and control group at the beginning of the study: A. Independent-samples t test B. Paired-samples t test

3.Comparing the blood pressure between treatment and control group at the end of the study A. Independent-Samples T-test B. Paired-Samples T-test 4.Comparing the changes in blood pressure between treatment and control group A. Independent-Samples T-test B. Paired-Samples T-test

Solutions

Expert Solution

1. p-value =0

the p-value is the chance of making the error by rejecting H0.

Answer: -

A. There is absolutely no chance that the results are due to the error.

  • Two sample t-test: Testing of two different sample of peoples for the same characteristics.
  • Paired t-test:- Testing of the same sample of people for the change in characteristics.

2. Comparing the blood pressure between the treatment and control group at the beginning of the study

A. independent sample t-test.

because of two different samples i.e. treatment group and the control group of BP at the start of the study.

3. Comparing the blood pressure between the treatment and control group at the end of the study.

A. independent sample t-test.

because of two different samples i.e. treatment group and control group for the BP at the end of study.

4. Comparing the changes in blood pressure between the treatment and control group.

A. independent sample t-test.

because of two different samples i.e. treatment group and control group for the change of BP.

Here we finding change between the two groups and not within the groups so we cannot use paired t-test.


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