Answer:
The value of the test statistic is -1.91.
Explanation:
We are given that a publisher reports that 79% of their readers own a laptop. A random sample of 150 found that 72% of the readers owned a laptop.
A marketing executive wants to test the claim that the percentage is actually different from the reported percentage.
Let p = population % of readers who own a laptop
SO, Null Hypothesis,
: p = 79% {means that the percentage is same as that of the reported percentage}
Alternate Hypothesis,
: p
79% {means that the percentage is actually different from the reported percentage}
The test statistics that will be used here is One-sample z proportion statistics;
T.S. =
~ N(0,1)
where,
= % of the readers who owned a laptop in a sample of 150 readers = 72%
n = sample of readers = 150
So, test statistics =
![\frac{0.72-0.79}{\sqrt{(0.72(1- 0.72))/(150) } }](https://img.qammunity.org/2021/formulas/mathematics/college/iri364kgm8698107cx5hvyseyiamax1ya7.png)
= -1.91
Therefore, the value of the test statistic is -1.91.