Say that we have two datapoints x and y. Both x and y are independently normally distributed with variance 1. The mean of x is µ x and the mean of y is µ y. 1. You have a null hypothesis of µ x = µ y...


Say that we have two datapoints x and y. Both x and y are independently normally distributed with variance 1. The mean of x is µx
and the mean of y is µy.


1. You have a null hypothesis of µx= µy. You will reject if |x − y| > 2. What is the type I error rate of this test?


2. You have a null hypothesis of µx= µy. You will reject if
|x − y|
>
2.
If µx
- µy
= 10, what is the type II error rate of this test?


Say that we have two datapoints x and y. Both x and y are independently normally distributed<br>with variance 1. The mean of x is µ, and the mean of<br>is ly.<br>1. You have a null hypothesis of ug = ly. You will reject if |x – y| > 2. What<br>is the type I error rate of this test?<br>You have a null hypothesis of He = Hy. You will reject if |x – y| > 2. If<br>10, what is the type II error rate of this test?<br>2.<br>Hx - Hy =<br>

Extracted text: Say that we have two datapoints x and y. Both x and y are independently normally distributed with variance 1. The mean of x is µ, and the mean of is ly. 1. You have a null hypothesis of ug = ly. You will reject if |x – y| > 2. What is the type I error rate of this test? You have a null hypothesis of He = Hy. You will reject if |x – y| > 2. If 10, what is the type II error rate of this test? 2. Hx - Hy =

Jun 01, 2022
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