Questions: The P-value for a hypothesis test is shown. Use the P-value to decide whether or not to reject the null hypothesis.
P=0.0461
Transcript text: The P-value for a hypothesis test is shown. Use the P-value to decide whether or not to reject the null hypothesis.
\[
P=0.0461
\]
Solution
Solution Steps
To decide whether to reject the null hypothesis using the P-value, we need to compare the P-value to a significance level (commonly denoted as \(\alpha\)). A typical significance level is 0.05. If the P-value is less than or equal to \(\alpha\), we reject the null hypothesis; otherwise, we do not reject it.
Step 1: Identify the Given Values
We are given the P-value for a hypothesis test:
\[
P = 0.0461
\]
We also have a common significance level:
\[
\alpha = 0.05
\]
Step 2: Compare P-value to Significance Level
To decide whether to reject the null hypothesis, we compare the P-value to the significance level \(\alpha\):
\[
P \leq \alpha
\]
Step 3: Decision Rule
Since \(P = 0.0461\) and \(\alpha = 0.05\), we compare the two values:
\[
0.0461 \leq 0.05
\]
This inequality is true.