The display provided from technology available below results from using data for a smartphone carrier's data speeds at airports to test the claim that they are from a population having a mean less than 6.00 Mbps. Conduct the hypothesis test using these results. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A Click the icon to view the display from technology. Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? O A. Ho: = 6.00 Mbps H, p>6.00 Mbps B. Ho: u=6.00 Mbps H,:u<6.00 Mbps OC. Ho <6.00 Mbps H =6.00 Mbps: OD. Ho: = 6.00 Mbps H, p6.00 Mbps Identify the test statistic. O(Round to two decimal places as needed.)

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Determine test statistic

determine p value

reject or fail to reject?

### T-Test Results

The table below presents the results from an independent t-test:

- **Hypothesized Mean (\( \mu \))**: \( < 7.00 \)
- **T-Statistic (t)**: \( -2.630770 \)
- **P-Value (p)**: \( 0.005426 \)
- **Sample Mean (x)**: \( 6.35 \)
- **Standard Deviation (Sx)**: \( 1.913842 \)
- **Sample Size (n)**: \( 60 \)

#### Explanation:

- **Hypothesized Mean**: The test assumes the population mean is less than 7.
- **T-Statistic**: A negative t-value indicates that the sample mean is less than the hypothesized mean.
- **P-Value**: A p-value less than 0.05 typically means the results are statistically significant, suggesting that there is evidence to reject the null hypothesis.
- **Sample Mean**: The average of the sample data.
- **Standard Deviation**: Reflects the variability or spread of the sample data.
- **Sample Size**: Number of observations in the sample.

This information is used to assess whether there is statistical evidence to support a claim about the mean of a population.
Transcribed Image Text:### T-Test Results The table below presents the results from an independent t-test: - **Hypothesized Mean (\( \mu \))**: \( < 7.00 \) - **T-Statistic (t)**: \( -2.630770 \) - **P-Value (p)**: \( 0.005426 \) - **Sample Mean (x)**: \( 6.35 \) - **Standard Deviation (Sx)**: \( 1.913842 \) - **Sample Size (n)**: \( 60 \) #### Explanation: - **Hypothesized Mean**: The test assumes the population mean is less than 7. - **T-Statistic**: A negative t-value indicates that the sample mean is less than the hypothesized mean. - **P-Value**: A p-value less than 0.05 typically means the results are statistically significant, suggesting that there is evidence to reject the null hypothesis. - **Sample Mean**: The average of the sample data. - **Standard Deviation**: Reflects the variability or spread of the sample data. - **Sample Size**: Number of observations in the sample. This information is used to assess whether there is statistical evidence to support a claim about the mean of a population.
The display provided from technology available below results from using data for a smartphone carrier's data speeds at airports to test the claim that they are from a population having a mean less than 6.00 Mbps. Conduct the hypothesis test using these results. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.

Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses?

- Option A:
  - \( H_0: \mu = 6.00 \text{ Mbps} \)
  - \( H_1: \mu > 6.00 \text{ Mbps} \)

- Option B: *(Selected)*
  - \( H_0: \mu = 6.00 \text{ Mbps} \)
  - \( H_1: \mu < 6.00 \text{ Mbps} \)

- Option C:
  - \( H_0: \mu < 6.00 \text{ Mbps} \)
  - \( H_1: \mu = 6.00 \text{ Mbps} \)

- Option D:
  - \( H_0: \mu = 6.00 \text{ Mbps} \)
  - \( H_1: \mu \neq 6.00 \text{ Mbps} \)

Identify the test statistic.

\[ \text{(Round to two decimal places as needed.)} \]

**Explanation:**

The objective of this hypothesis test is to determine whether the mean data speed of a smartphone carrier at airports is statistically significantly less than 6.00 Mbps. Based on the selection of Option B, the null hypothesis (\( H_0 \)) assumes that the mean speed is 6.00 Mbps, while the alternative hypothesis (\( H_1 \)) asserts that the mean speed is less than 6.00 Mbps. The task involves calculating the test statistic and the corresponding P-value to conclude whether to reject the null hypothesis, using a significance level of 0.05.
Transcribed Image Text:The display provided from technology available below results from using data for a smartphone carrier's data speeds at airports to test the claim that they are from a population having a mean less than 6.00 Mbps. Conduct the hypothesis test using these results. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. Assuming all conditions for conducting a hypothesis test are met, what are the null and alternative hypotheses? - Option A: - \( H_0: \mu = 6.00 \text{ Mbps} \) - \( H_1: \mu > 6.00 \text{ Mbps} \) - Option B: *(Selected)* - \( H_0: \mu = 6.00 \text{ Mbps} \) - \( H_1: \mu < 6.00 \text{ Mbps} \) - Option C: - \( H_0: \mu < 6.00 \text{ Mbps} \) - \( H_1: \mu = 6.00 \text{ Mbps} \) - Option D: - \( H_0: \mu = 6.00 \text{ Mbps} \) - \( H_1: \mu \neq 6.00 \text{ Mbps} \) Identify the test statistic. \[ \text{(Round to two decimal places as needed.)} \] **Explanation:** The objective of this hypothesis test is to determine whether the mean data speed of a smartphone carrier at airports is statistically significantly less than 6.00 Mbps. Based on the selection of Option B, the null hypothesis (\( H_0 \)) assumes that the mean speed is 6.00 Mbps, while the alternative hypothesis (\( H_1 \)) asserts that the mean speed is less than 6.00 Mbps. The task involves calculating the test statistic and the corresponding P-value to conclude whether to reject the null hypothesis, using a significance level of 0.05.
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