sample size calculation if you increase the value for ES

Order Instructions:
Question 1

What happens to the following sample size calculation if you increase the value for ES: n = ((1.96 + .84)/2)2?Answer The sample size goes down.
The sample size stays the same.
The sample size goes up.
Impossible to say given the information.
.1 points
Question 2

What is the standard deviation in the following calculation (30-20)/10 = 1?Answer 10
30
20
1
.1 points
Question 3

Which of the following statements about Type 1 and Type 2 error is false?Answer They are both a form of chance error.
They are both represented using Greek letters.
They are both a form of systematic error.
Ideally you should try to keep both as low as possible in your study.
.1 points
Question 4

Which is not a reason for making your sample size as large as possible?Answer Reducing Type 1 error
Reducing Systematic error
Reducing Chance error
Reducing Type 2 error
.1 points
Question 5

What happens to the following sample size calculation if you increase the size of the population from which the sample is drawn: n = ((1.96 + .84)/2)2?Answer The sample size goes down.
The sample size stays the same.
The sample size goes up.
Impossible to say given the information.
.1 points
Question 6

Given a Type 2 error rate of .10, what is the Power?Answer 10%
90%
1.10
Unable to calculate given the information.
.1 points
Question 7

Given a Type 1 error rate of .10, what is the Power?Answer 15%
1.15
90%
Unable to calculate given the information.
.1 points
Question 8

Given a Type 2 error rate of .15, what is the Power?Answer 15%
1.15
85%
Unable to calculate given the information.
.1 points
Question 9

Which of the following is not an acceptable level for a Type 1 error in a study?Answer .05
.20
.01
5%
.1 points
Question 10

Which of the following parts of a sample size calculation are usually educated guesses?Answer Z1 €“ ?/2
ES
Z1 €“ ?
None of the above
.1 points
Question 11

Which of the following is true about Power? Answer A study conducted with insufficient Power has a high chance of a Type 1 error.
Whenever you read of a study where they were unable to reject the null hypothesis you should check whether it had enough Power.
It is related to the Type 1 error rate you set for your study.
Given a constant sample size, if you pre-specify a higher type 1 error, the statistical power will decrease.
.1 points
Question 12

Which of the following is the correct definition of Power? Answer It is the likelihood of an investigator to reject a null hypothesis that is false and should be rejected.
It is the likelihood of an investigator to fail to reject a null hypothesis that is false and should be rejected.
It is the likelihood of an investigator to reject a null hypothesis that is true and should not be rejected.
It is the likelihood of an investigator to fail to reject a null hypothesis that is true and should not be rejected.
.1 points
Question 13

Which of the following is true about sample size? Answer The sample size you calculate will always be sufficient to conduct your statistical tests
Events like questions left unanswered in questionnairesand dropouts from a study can reduce the available sample size.
The size of the effect you are trying to observe, whether a difference in means or an association between variables is not important when computing sample size
A sample size of 30 or greater is always sufficient
.1 points
Question 14

Which of the following is a true statement about hypothesis testing?Answer You conduct hypothesis testing to prove your null hypothesis.
You conduct hypothesis testing to prove your alternative hypothesis.
You conduct hypothesis testing to eliminate the effect of chance on your solution.
You conduct hypothesis testing to test the significance of a proposed relationship between variables.
.1 points
Question 15

Which of the following is true about Sample Size calculations? Answer It does not depend on the type of statistical test you plan to use
It should not be calculated using software
Some of the values used in calculating it are estimates
It can be computed after performing the test to see if you had sufficient sample size
.1 points
Question 16

Which of the following is an example of a Type 1 error?Answer Rejecting a false null hypothesis.
Rejecting a true null hypothesis.
Failing to reject a false null hypothesis.
Failing to reject a true null hypothesis.
.1 points
Question 17

Which of the following is an example of a Type 2 error? (include on all quizzes)Answer Rejecting a false null hypothesis.
Rejecting a true null hypothesis.
Failing to reject a false null hypothesis.
Failing to reject a true null hypothesis.
.1 points
Question 18

Which of the following is true of the statement: The men in this sample are taller than the women?Answer It is a directional null hypothesis.
It is a directional alternative hypothesis.
It is a two-tailed alternative hypothesis.
It is a one-tailed null hypothesis.
.1 points
Question 19

Which is the correct null hypothesis based on this statement: People with diabetes have higher systolic blood pressure than people without diabetes?Answer People with diabetes have lower systolic blood pressure than people without diabetes.
People with diabetes have equal systolic blood pressure when compared to people without diabetes.
People with diabetes have a systolic blood pressure equal to or lower than people without diabetes.
None of these are a null hypothesis.
.1 points
Question 20

Which of the following is a true statement about a null hypothesis?Answer It is the hypothesis you are trying to prove.
It is always written as a question.
It is a statement of no association between variables or no difference between groups.
It is not related to the alternative hypothesis.