The following hypotheses are tested:

H0: µ= µ0 and HA: µ? µ0

Based on an SRS of size n form a normal population, We are said to commit a Type 2 error if we

Accept the alternative when the null is true

Reject the null when in fact the null is true

Reject the null when the alternative is true

Accept the null when the null is true

Accept the null when the alternative is true

Accept the null when the alternative is true

Step-by-step explanation:

A type II error is committed when the null hypothesis is accepted when it is actually false, that is , when the null is accepted when the alternative is true

he spend 5.1 minutes chatting with his friends

step-by-step explanation:

2/5+1/2=9/10

6/1-9/10=5 1/10

answer: (1,3) (3,-1) (5,-5) ?

step-by-step explanation: