Questions: Are you smarter than a second-grader? A random sample of 50 second-graders in a certain school district are given a standardized mathematics skills test. The sample mean score is x̄=46. Assume the standard deviation of test scores is σ=15. The nationwide average score on this test is 50. The school superintendent wants to know whether the second-graders in her school district have different math skills from the nationwide average. Use the α=0.10 level of significance and the P-value method with the π - 84 calculator. State the appropriate null and alternate hypotheses. H0: H1: This hypothesis test is a (Choose one) test.

Are you smarter than a second-grader? A random sample of 50 second-graders in a certain school district are given a standardized mathematics skills test. The sample mean score is x̄=46. Assume the standard deviation of test scores is σ=15. The nationwide average score on this test is 50. The school superintendent wants to know whether the second-graders in her school district have different math skills from the nationwide average. Use the α=0.10 level of significance and the P-value method with the π - 84 calculator.

State the appropriate null and alternate hypotheses.

H0:  
H1:  

This hypothesis test is a (Choose one)  test.
Transcript text: Are you smarter than a second-grader? A random sample of 50 second-graders in a certain school district are given a standardized mathematics skills test. The sample mean score is $\bar{x}=46$. Assume the standard deviation of test scores is $\sigma=15$. The nationwide average score on this test is 50 . The school superintendent wants to know whether the second-graders in her school district have different math skills from the nationwide average. Use the $\alpha=0.10$ level of significance and the $P$-value method with the $\pi$ - 84 calculator. State the appropriate null and alternate hypotheses. \[ \begin{array}{l} H_{0}: \square \\ H_{1}: \square \end{array} \] This hypothesis test is a (Choose one) 7 test. $\square$
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Solution

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Solution Steps

Step 1: State the Hypotheses

We are testing whether the mean score of second-graders in the school district is different from the nationwide average score. The hypotheses are stated as follows:

\[ \begin{align_} H_{0}: & \quad \mu = 50 \\ H_{1}: & \quad \mu \neq 50 \end{align_} \]

Step 2: Calculate the Standard Error

The standard error (\(SE\)) is calculated using the formula:

\[ SE = \frac{\sigma}{\sqrt{n}} = \frac{15}{\sqrt{50}} \approx 2.1213 \]

Step 3: Calculate the Test Statistic

The Z-test statistic is calculated using the formula:

\[ Z = \frac{\bar{x} - \mu_0}{SE} = \frac{46 - 50}{2.1213} \approx -1.8856 \]

Step 4: Calculate the P-value

For a two-tailed test, the P-value is calculated as:

\[ P = 2 \times (1 - T(|z|)) \approx 0.0593 \]

Step 5: Decision Rule

We compare the P-value to the significance level (\(\alpha = 0.10\)):

  • If \(P < \alpha\), we reject the null hypothesis.
  • If \(P \geq \alpha\), we fail to reject the null hypothesis.

Since \(0.0593 < 0.10\), we reject the null hypothesis.

Final Answer

The second-graders in the school district have significantly different math skills from the nationwide average. Thus, we conclude that:

\[ \boxed{H_{1} \text{ is supported, indicating a significant difference in math skills.}} \]

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