If the conclusion of a test is " reject H0" with 0.05 alpha, then which one is the correct statement? (choose all that apply)
a. |
Type1 = 0.05 and Type2 = 0 |
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b. |
Type1 = 0 and Type2 = 0 |
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c. |
Type1 = 0 and Type2 = 0.05 |
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d. |
Type1 = 0 and Type2 = unknown amounts |
If the conclusion of a test is " do not reject H0" with 0.05 alpha, then which one is the correct statement?
a. |
Type 1 = Unknown amounts and Type 2 = Unknown amounts |
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b. |
Type 1 = 0.05 and Type 2 = 0 |
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c. |
Type 1 = 0.05 and Type 2 = Unknown amounts |
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d. |
Type 1 = 0 and Type 2 = Unknown amounts |
Which one is the correct statement? Choose all applied.
a. |
We can increase the power of a test by increasing the size of random sample. |
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b. |
We can increase the power of a test by decreasing type 2 error. |
|
c. |
power of a test = 1- type 2 error. |
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d. |
We can increase the power of a test by increasing type 1 error. |
1. If the conclusion of a test is " reject H0" with 0.05 alpha, then
Ans: Type1 = 0.05 and Type2 = 0
2. If the conclusion of a test is " do not reject H0" with 0.05 alpha, :Type 1 = 0.05 and Type 2 = Unknown amounts
a) We can increase the power of a test by increasing the size of random sample. : True
Explanation: increasing sample size means more likely to reject the null hypothesis when it is, in fact, false .Thus increase power.
b) We can increase the power of a test by decreasing type 2 error. : TRUE
Explanation: The type II error has an inverse relationship with the power of a statistical test.
c) power of a test = 1- type 2 error. : TRUE
d) We can increase the power of a test by increasing type 1 error. TRUE
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