Questions: Suppose there is a claim that a certain population has a mean, μ, that is different than 8. You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.10 level of significance. To start this test, you write the null hypothesis, H₀, and the alternative hypothesis, H₁, as follows.
H₀: μ=8
H₁: μ ≠ 8
Suppose you also know the following information.
The value of the test statistic based on the sample is 1.472 (rounded to 3 decimal places).
The p-value is 0.141 (rounded to 3 decimal places).
(a) Complete the steps below for this hypothesis test.
Standard Normal Distribution
Step 1: Select one-tailed or two-tailed.
One-tailed
Two-tailed
Step 2: Enter the test statistic.
(Round to 3 decimal places.)
Step 3: Shade the area represented by
the p-value.
Step 4: Enter the p-value.
(Round to 3 decimal places.)
(b) Based on your answer to part (a), which statement below is true?
Since the p-value is less than (or equal to) the level of significance, the null hypothesis is rejected.
Since the p-value is less than (or equal to) the level of significance, the null hypothesis is not rejected.
Since the p-value is greater than the level of significance, the null hypothesis is rejected.
Since the p-value is greater than the level of significance, the null hypothesis is not rejected.
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Introduction to performing a hypothesis test: p value method
15
Tequil
Suppose there is a claim that a certain population has a mean, $\mu$, that is different than 8 . You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.10 level of significance. To start this test, you write the null hypothesis, $H_{0}$, and the alternative hypothesis, $H_{1}$, as follows.
\[
\begin{array}{l}
H_{0}: \mu=8 \\
H_{1}: \mu \neq 8
\end{array}
\]
Suppose you also know the following information.
The value of the test statistic based on the sample is 1.472 (rounded to 3 decimal places).
The $p$-value is 0.141 (rounded to 3 decimal places).
(a) Complete the steps below for this hypothesis test.
Standard Normal Distribution
Step 1: Select one-tailed or two-tailed.
One-tailed
Two-tailed
Step 2: Enter the test statistic.
(Round to 3 decimal places.)
Step 3: Shade the area represented by
the $p$-value.
Step 4: Enter the $p$-value.
(Round to 3 decimal places.)
(b) Based on your answer to part (a), which statement below is true?
Since the $p$-value is less than (or equal to) the level of significance, the null hypothesis is rejected.
Since the $p$-value is less than (or equal to) the level of significance, the null hypothesis is not rejected.
Since the $p$-value is greater than the level of significance, the null hypothesis is rejected.
Since the $p$-value is greater than the level of significance, the null hypothesis is not rejected.
Explanation
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Solution
Solution Steps
Step 1: Test Type Selection
The alternative hypothesis is \( H_1: \mu \neq 8 \), indicating that we are conducting a two-tailed test.
Step 2: Test Statistic
The calculated test statistic is \( Z = 1.472 \).
Step 3: P-value Representation
The area represented by the p-value is \( 0.141 \). This area corresponds to the probability of observing a test statistic as extreme as \( 1.472 \) under the null hypothesis.
Step 4: P-value
The p-value for this test is \( 0.141 \).
Conclusion
To determine whether to reject the null hypothesis \( H_0: \mu = 8 \), we compare the p-value to the significance level \( \alpha = 0.10 \):
Since \( 0.141 > 0.10 \), we do not reject the null hypothesis.
Final Answer
The conclusion is that the null hypothesis is not rejected.
\(\boxed{\text{The null hypothesis is not rejected.}}\)