Independent random samples were selected from two quantitative populations, with sample data given below. Using the p-value approach for the data given below, is there sufficient evidence to show that 4, is larger than 4, at the 1% level of significance? ng = ng = 50, x, = 125.1, x, = 123.6, s = 5.7, 52 = 6.7 n USE SALT Use the value of the test statistics 1.21 to calculate the p-value for the test. (Round your answer to four decimal places.) p-value = State your conclusion. O Ho is not rejected. There sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. O Ho is rejected. There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. O Ho is rejected. There is insufficient evidence indicate that the mean for population 1 is larger than the mean for population 2. O H, is not rejected. There is insufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. Is this result consistent with the one obtained using the critical value approach, with a = 0.01? O Yes O No

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Independent random samples were selected from two quantitative populations, with sample data given below. Using the p-value approach for the data given below, is there sufficient evidence to show that \( \mu_1 \) is larger than \( \mu_2 \) at the 1% level of significance?

\[
\begin{align*}
n_1 &= n_2 = 50, \\
\bar{x}_1 &= 125.1, \\
\bar{x}_2 &= 123.6, \\
s_1 &= 5.7, \\
s_2 &= 6.7 \\
\end{align*}
\]

![USE SALT Button]

Use the value of the test statistic 1.21 to calculate the p-value for the test. (Round your answer to four decimal places.)

p-value = [______]

State your conclusion.

- \( H_0 \) is not rejected. There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2.
- \( H_0 \) is rejected. There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2.
- \( H_0 \) is rejected. There is insufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2.
- \( H_0 \) is not rejected. There is insufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2.

Is this result consistent with the one obtained using the critical value approach, with \( \alpha = 0.01 \)?

- Yes
- No
Transcribed Image Text:Independent random samples were selected from two quantitative populations, with sample data given below. Using the p-value approach for the data given below, is there sufficient evidence to show that \( \mu_1 \) is larger than \( \mu_2 \) at the 1% level of significance? \[ \begin{align*} n_1 &= n_2 = 50, \\ \bar{x}_1 &= 125.1, \\ \bar{x}_2 &= 123.6, \\ s_1 &= 5.7, \\ s_2 &= 6.7 \\ \end{align*} \] ![USE SALT Button] Use the value of the test statistic 1.21 to calculate the p-value for the test. (Round your answer to four decimal places.) p-value = [______] State your conclusion. - \( H_0 \) is not rejected. There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. - \( H_0 \) is rejected. There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. - \( H_0 \) is rejected. There is insufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. - \( H_0 \) is not rejected. There is insufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. Is this result consistent with the one obtained using the critical value approach, with \( \alpha = 0.01 \)? - Yes - No
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