1. Increasing sample size: decreases the likelihood that we will reject the null
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Question
1. Increasing sample size:
decreases the likelihood that we will reject the null hypothesis.
increases the likelihood that we will reject the null hypothesis.
has no effect on the likelihood that we will reject the null hypothesis.
makes it more likely that we will make a Type II error.
2.
We calculate a statistical power and find that it is 0.61. This means that if the null hypothesis is ________, we have a ________% chance of rejecting the null hypothesis.
false; 39
false; 61
true; 39
true; 61
a.decreases the likelihood that we will reject the null hypothesis.
b.increases the likelihood that we will reject the null hypothesis.
c.has no effect on the likelihood that we will reject the null hypothesis.
d.makes it more likely that we will make a Type II error.
Explanation / Answer
1. Increasing sample size:
b)increases the likelihood that we will reject the null hypothesis.
2)
We calculate a statistical power and find that it is 0.61. This means that if the null hypothesis is false, we have a
61 % chance of rejecting the null hypothesis.
Option b is correct.
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