Question

A newsletter publisher believes that less than 49% of their readers own a laptop. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.10 level of significance, the advertiser decides to reject the null hypothesis. What is the conclusion regarding the publisher's claim

Answer 1

The answer is "At the 0,10 level, there should be enough proof that the percentage is below 49%"

Explanation:

Null and alternative hypothesis:

`H_0 :P \geq 0.49\\\\H_1:P<0.49 \ \ (\text{Left tailed test})\\\\`

Significance level:
`\alpha = 0.10`

It is decided that the null hypothesis at the defined meaning level is rejected.