Statistics & Research Methods-Power Analysis [NTA-NET (UGC-NET) Psychology (04)]: Questions 1 - 3 of 6
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Question 1
Question Assertion-Reason▾
Assertion(Ꭺ)
Given below are two statements, one labelled as Assertion (A) and other labelled as Reason (R) . Indicate your answer using the code given below:
The power of a test can be increased by using a less conservative test with larger significance criterion.
Reason(Ꭱ)
The criteria for probability commonly used in power analysis are 0.05,0.001, and 0.01
Choices
Choice (4) | Response | |
---|---|---|
a. | Both Ꭺ and Ꭱ are true and Ꭱ is the correct explanation of Ꭺ | |
b. | Both Ꭺ and Ꭱ are true but Ꭱ is NOT the correct explanation of Ꭺ | |
c. | Ꭺ is false but Ꭱ is true | |
d. | Ꭺ is true but Ꭱ is false |
Question 2
Question MCQ▾
The power can be completely determined by a ________ and ________.
Choices
Choice (4) | Response | |
---|---|---|
a. | Level of significance and sample size | |
b. | Standardized effect and sample size | |
c. | Standardized effect and level of significance | |
d. | Unstandardized effect and sample size |
Question 3
Question Assertion-Reason▾
Assertion(Ꭺ)
Given below are two statements, one labelled as Assertion (A) and other labelled as Reason (R) . Indicate your answer using the code given below:
Value of power analysis ranges from zero to one
Reason(Ꭱ)
The value of power analysis increases the probability of wrongly failing to reject the null hypothesis decreases.
Choices
Choice (4) | Response | |
---|---|---|
a. | Both Ꭺ and Ꭱ are false | |
b. | Ꭺ is false but Ꭱ is true | |
c. | Both Ꭺ and Ꭱ are true but Ꭱ is NOT the correct explanation of Ꭺ | |
d. | Both Ꭺ and Ꭱ are true and Ꭱ is the correct explanation of Ꭺ |