Answer:
Test statistics = -2.22
Step-by-step explanation:
We are given that a publisher reports that 26% of their readers own a laptop. A random sample of 220 found that 20% of the readers owned a laptop.
And, a marketing executive wants to test the claim that the percentage is actually different from the reported percentage, i.e;
Null Hypothesis, [tex]H_0[/tex] : p = 0.26 {means that the percentage of readers who own a laptop is same as reported 26%}
Alternate Hypothesis, [tex]H_1[/tex] : p [tex]\neq[/tex] 0.26 {means that the percentage of readers who own a laptop is different from the reported 26%}
The test statistics we will use here is;
T.S. = [tex]\frac{\hat p -p}{\sqrt{\frac{\hat p(1- \hat p)}{n} } }[/tex] ~ N(0,1)
where, p = actual percentage of readers who own a laptop = 0.26
[tex]\hat p[/tex] = percentage of readers who own a laptop in a sample of
220 = 0.20
n = sample sizes = 220
So, Test statistics = [tex]\frac{0.20 -0.26}{\sqrt{\frac{0.20(1- 0.20)}{220} } }[/tex]
= -2.22
Therefore, the value of test statistics is -2.22 .