Figure 2: Hypothesis Test of Mean Fare Prices H : Mean of variable Ho : H - 12 HA : u # 12 Hypothesis test results: Variable Sample Mean Std. Err. DF T-Stat P-value Fare 16.654167 1.8509244 59 2.5145093 0.0147 Hypotheses: State clearly the null and alternative hypotheses and the level of significance. Assumptions: Identify and justify the type of hypothesis test being used. Include assumptions made about the population and the sampling distribution of the sample statistic. Findings Complete the hypothesis test of each parameter. Label each step as outlined below. Interpretations should be made within the context of the hypothesized parameter value and the sample data using complete sentences. Insert/embed tables and graphs from StatCrunch or other software if needed. Do not paste screenshots. Test statistic: State the calculated value and interpret its meaning. P-value: State the calculated value and interpret its meaning. Decision: Use the P-value approach to make a correct test decision with respect to the null hypothesis. Conclusion: Make a conclusive statement with respect to the alternative hypothesis in its context. Extra Credit (10 points): Justify whether a linear correlation exists between the two quantitative variables of the dataset. If so, provide the equation for the best-fit line and interpret the slope in proper context. Conclusion Briefly address the overall meaningfulness of the statistical inquiry using complete sentences. Focus on inferences about the identified population of interest and how the inquiry could be used to benefit that community. Page S of S