m: p=51,100; a =0.05 Sample statistics: x = 52,071, s = 3000, n = 16 Click the icon to view the t-distribution table. E. H, μ-51,100 H u#51,100 at is the value of the standardized test statistic? standardized test statistic is 1.29. (Round to two decimal places as needed.) t is(are) the critical value(s)?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Topic: Conducting a T-Test to Evaluate a Population Mean**

In this example, we aim to test a claim regarding a population mean \( \mu \) using a t-test at a specified level of significance \( \alpha \), based on given sample statistics. The population is assumed to be normally distributed.

**Claim and Given Data:**
- Claim: \( \mu = 51,100 \)
- Significance Level: \( \alpha = 0.05 \)
- Sample Mean: \( \bar{x} = 52,071 \)
- Sample Standard Deviation: \( s = 3,000 \)
- Sample Size: \( n = 16 \)

**Steps:**

1. **Set Up Hypotheses:**
   - Null Hypothesis (\( H_0 \)): \( \mu = 51,100 \)
   - Alternative Hypothesis (\( H_a \)): \( \mu \ne 51,100 \)

2. **Calculate Standardized Test Statistic:**
   The value of the standardized test statistic is calculated as 1.29 (rounded to two decimal places).

3. **Determine Critical Value(s):**
   The problem requires identifying the critical value(s). You need to look up the value in the t-distribution table based on the degrees of freedom and the significance level. (Round to three decimal places as needed).

This process illustrates the method for evaluating a population mean claim using a t-test, leveraging sample statistics and critical values from the t-distribution for hypothesis testing.
Transcribed Image Text:**Topic: Conducting a T-Test to Evaluate a Population Mean** In this example, we aim to test a claim regarding a population mean \( \mu \) using a t-test at a specified level of significance \( \alpha \), based on given sample statistics. The population is assumed to be normally distributed. **Claim and Given Data:** - Claim: \( \mu = 51,100 \) - Significance Level: \( \alpha = 0.05 \) - Sample Mean: \( \bar{x} = 52,071 \) - Sample Standard Deviation: \( s = 3,000 \) - Sample Size: \( n = 16 \) **Steps:** 1. **Set Up Hypotheses:** - Null Hypothesis (\( H_0 \)): \( \mu = 51,100 \) - Alternative Hypothesis (\( H_a \)): \( \mu \ne 51,100 \) 2. **Calculate Standardized Test Statistic:** The value of the standardized test statistic is calculated as 1.29 (rounded to two decimal places). 3. **Determine Critical Value(s):** The problem requires identifying the critical value(s). You need to look up the value in the t-distribution table based on the degrees of freedom and the significance level. (Round to three decimal places as needed). This process illustrates the method for evaluating a population mean claim using a t-test, leveraging sample statistics and critical values from the t-distribution for hypothesis testing.
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