A car company claims that its new SUV gets better gas mileage than its competitor's SUV. A random sample of 32 of its SUVS has a mean gas mileage of 13.6 miles per gallon (mpg). The population standard deviation is known to be 0.5 mpg. A random sample of 47 competitor's SUVS has a mean gas mileage of 13.4 mpg. The population standard deviation for the competitor is known to be 0.6 mpg. Test the company's claim at the 0.10 level of significance. Let the car company's SUVS be Population 1 and let the competitor's SUVS be Population 2. Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below.

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**Gas Mileage Comparison Study: Hypothesis Testing**

A car company claims that its new SUV gets better gas mileage than its competitor’s SUV. Here are the details of the test:

- **Population 1 (Car Company’s SUVs):**
  - Sample Size: 32
  - Mean Gas Mileage: 13.6 miles per gallon (mpg)
  - Population Standard Deviation: 0.5 mpg

- **Population 2 (Competitor’s SUVs):**
  - Sample Size: 47
  - Mean Gas Mileage: 13.4 mpg
  - Population Standard Deviation: 0.6 mpg

**Objective:**
Test the company’s claim at the 0.10 level of significance. Let the car company’s SUVs be Population 1 and the competitor’s SUVs be Population 2.

**Step 1 of 3: State the Null and Alternative Hypotheses for the Test.**

- Null Hypothesis (\(H_0\)): \(\mu_1 = \mu_2\)
- Alternative Hypothesis (\(H_a\)): \(\mu_1 \neq \mu_2\) (fill in the blank) 

This study aims to determine if there is a statistically significant difference in the gas mileage between the two populations.
Transcribed Image Text:**Gas Mileage Comparison Study: Hypothesis Testing** A car company claims that its new SUV gets better gas mileage than its competitor’s SUV. Here are the details of the test: - **Population 1 (Car Company’s SUVs):** - Sample Size: 32 - Mean Gas Mileage: 13.6 miles per gallon (mpg) - Population Standard Deviation: 0.5 mpg - **Population 2 (Competitor’s SUVs):** - Sample Size: 47 - Mean Gas Mileage: 13.4 mpg - Population Standard Deviation: 0.6 mpg **Objective:** Test the company’s claim at the 0.10 level of significance. Let the car company’s SUVs be Population 1 and the competitor’s SUVs be Population 2. **Step 1 of 3: State the Null and Alternative Hypotheses for the Test.** - Null Hypothesis (\(H_0\)): \(\mu_1 = \mu_2\) - Alternative Hypothesis (\(H_a\)): \(\mu_1 \neq \mu_2\) (fill in the blank) This study aims to determine if there is a statistically significant difference in the gas mileage between the two populations.
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