\f\fConsider a national car rental company that is interested in testing whether there is a difference in mean mileage for SUVs driven in town versus those driven on the highway. Based on its experience with regular automobiles, the company believes the mean highway mileage will exceed city mileage. The company randomly selected 25 SUV rentals driven only on the highway and another 25 SUVs only driven in the city. The vehicles were filled with 14 gallons of gasoline. Each customer then drove around until they ran out of gasoline. The elapsed miles were noted, and the results are found in the mileage file. Steps 1. Specify population parameter of interest and state the null & alt hypotheses a. Ho: H: 2. State level of significance 3. Select random samples from each population 4. Test hypotheses Step 5.1: Decision (Reject Ho vs Do not Reject Ho]: Step 5.2: Write up the decision and conclusion based on business implication (use the complete sentences):The Stanford-Binet IQ test is nationally normed with a mean of 100 and a standard deviation of 15. A principal in an elementary school believes that her students have above-average intelligence and wants verification of her belief. She randomly selects 20 students and checks the student files. You will use as z-test to determine whether the students in this school have above-average intelligence and will summarize your findings in a report. Steps 1. Specify population parameter of interest and state the null & alt hypotheses a. Ho: 2. State level of significance 3. Select random samples from each population 4. Test hypotheses Step 5.1: Decision (Reject Ho vs Do not Reject Ho]: Step 5.2: Write up the decision and conclusion based on business implication (use the complete sentences):Mileage Mileage Type 19.8 HWY 15.89 HWY 21.98 HWY 26.11 HWY 25.79 HWY 27.93 HWY 8 12.27 HWY 20.06 HWY 10 25.38 HWY 11 16.65 HWY 12 18.24 HWY 13 14.24 HWY 14 13.61 HWY 15 17.09 HWY 16 17.91 HWY 17 12.53 HWY 18 18.73 HWY 19 19.38 HWY 20 21.54 HWY 21 19.54 HWY 22 19.69 HWY 23 19.52 HWY 24 26.37 HWY 25 20.66 HWY 26 20.26 HWY 27 19.84 City 28 24.32 City 29 20.38 City 30 13.5 City 31 8.23 City 32 14.06 City 33 16.62 City 34 18.85 City 35 12.13 City 36 13.83 City 37 6 City 38 22.27 City 39 8 City 40 14.16 City 41 20.95 City 42 17.67 City 43 22.58 City 44 18 City 45 13.43 City 46 21.55 City 47 15.71 City 48 19.31 City 49 24.01 City 50 12.36 City 51 5.89 City 52