Setting the p level at 0.01 increases the chances of making a
a .Type I error
b. Type II error
c Type III error
d. all of the above
Answers
Answer:
Setting the p level at 0.01 increases the chances of making a
a .Type I error
b. Type II error
c Type III error
d. all of the above
Explanation:
c
Setting the p level at 0.01 increases the chances of making a Type I error.
a. Type I error
Explanation:
A p-value of 0.01 would mean there is a 1% chance of committing a Type I error. A sort 1 misstep is generally called a counterfeit positive and happens when a researcher erroneously excuses a certified invalid hypothesis. This suggests your report that your revelations are essential at whatever point, in fact, they have occurred by some happenstance. while a sort II, the bumble is the non-excusal of a false invalid hypothesis (in any case called a "sham negative" finding or end).
The probability of committing a sort I error is addressed by your alpha level (α), which is the p-regard underneath which you reject the invalid hypothesis. A p-assessment of 0.05 shows that you are anxious to recognize a 5% chance that you are wrong when you reject the invalid hypothesis. You can diminish your risk of presenting a sort I botch by using a lower motivating force for p.
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