Questions: A polling agency says that over 75% of people in the United States prepare and file their income taxes before April 15th. Let p be the true proportion of people in the United States who prepare and file their income taxes before April 15th. In a random survey of 1000 people in the United States, 790 said that they prepare and file their income taxes before April 15th.
(a) At 5% level of significance, to test that over 75% of people in the United States prepare and file their income taxes before April 15th, the suitable null and alternative hypotheses are [ Select ]
(b) The standardized test statistic is closest to [Select]
(c) Calculate the P-value and state the decision of the test at 5% level of significance. [Select]
Transcript text: A polling agency says that over $75 \%$ of people in the United States prepare and file their income taxes before April 15th. Let $p$ be the true proportion of people in the United States who prepare and file their income taxes before April 15 th. In a random survey of 1000 people in the United States, 790 said that they prepare and file their income taxes before April 15th.
(a) At 5\% level of significance, to test that over 75\% of people in the United States prepare and file their income taxes before April 15 th, the suitable null and alternative hypotheses are [ Select ] $\square$
(b) The standardized test statistic is closest to $\square$ [Select]
(c) Calculate the $P$-value and state the decision of the test at $5 \%$ level of significance. [Select] $\square$
Solution
Solution Steps
Step 1: Hypotheses
We set up the null and alternative hypotheses as follows:
Null hypothesis (\(H_0\)): \(p \leq 0.75\)
Alternative hypothesis (\(H_1\): \(p > 0.75\)
Step 2: Calculate the Test Statistic
The standardized test statistic \(Z\) is calculated using the formula:
\[
Z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1 - p_0)}{n}}}
\]