Please answer A-G ### Statistical Hypothesis TestingThis section outlines the hypothesis testing process using sample statistics. Follow the steps below to understand how to set up hypotheses and determine test statistics.#### Sample Data:- Sample 1: - Mean (\(\bar{x}_1\)) = 6.4 - Standard deviation (\(s_1\)) = 3 - Sample size (\(n_1\)) = 48- Sample 2: - Mean (\(\bar{x}_2\)) = 5.8 - Standard deviation (\(s_2\)) = 1.7 - Sample size (\(n_2\)) = 64#### Hypothesis Testing Steps:**a. Null Hypothesis (\(H_0\)):** - Enter the null hypothesis for this test. - \(H_0: \ \) [Select an answer from the dropdown]**b. Alternative Hypothesis (\(H_a\)):** - Enter the alternative hypothesis for this test. - \(H_a: \ \) [Select an answer from the dropdown]**c. Parameter Location:**- Is the parameter located in the null or alternative hypothesis? - [Select an answer from the dropdown]**d. Test Statistic:**- What is the test statistic for the given statistics? Round your answer to two decimal places. - [Text entry box for answer]#### Dropdown Options:- Options available for selection include various symbols commonly used in hypothesis testing, such as: - \(\bar{x}\) (Sample Mean) - \(\mu_2\) (Population Mean 2) - \(p\) (Proportion) - \(\hat{p}\) (Sample Proportion) - \(\mu_1\) (Population Mean 1) - \(\chi\) (Chi-Square) - \(\mu\) (General Population Mean) - \(\sigma\) (Standard Deviation)These selections are used to construct the hypotheses accurately based on the context of the problem. Ensure you understand the meanings and implications of each symbol in statistical testing. The image consists of a hypothesis testing problem related to comparing the gas mileage of Toyota and Ford mid-size sedans. The problem provides a table with sample statistics and a series of questions that guide through the hypothesis testing process.### Table of Statistics:- **Toyota** - Sample mean (\( \bar{x}_1 \)): 24.4 - Sample standard deviation (\( s_1 \)): 3 - Sample size (\( n_1 \)): 48- **Ford** - Sample mean (\( \bar{x}_2 \)): 23.1 - Sample standard deviation (\( s_2 \)): 1.7 - Sample size (\( n_2 \)): 64### Questions:a. **Enter the null hypothesis for this test.** \( H_0: \) [Select an answer]b. **Enter the alternative hypothesis for this test.** \( H_1: \) [Select an answer]c. **Is the original claim located in the null or alternative hypothesis?** [Select an answer]d. **What is the test statistic for the given statistics?** Round your answer to at least 2 decimal places. [Input field]e. **What is the p-value for this test?** Round your answer to at least 3 decimal places. [Input field]f. **What is the decision based on the given statistics?** [Select an answer]g. **What is the correct interpretation of this decision?**[Text Completion]Using a ____ % level of significance, there [Select an answer] sufficient evidence to [Select an answer] the claim that their mid-size sedan gets better gas mileage than Ford's similar model. ### Explanation:This is a structured format typically used in educational settings to teach students about conducting hypothesis tests, including defining hypotheses, calculating test statistics and p-values, making decisions, and interpreting results.

Given that n1 = 48 , n2 = 64 , S1 = 3 , S2 = 1.7 Note : According to bartleby experts question…

a. Enter the null hypothesis for this test. Ho Select an answer ? Select an answer C b. Enter the alternative hypothesis for this test. H₁: Select an answer ? Select an answer c. Is the original claim located in the null or alternative hypothesis? Select an answer ♥