Vehicle Type/Class Year Make Model Price MPG (city) MPG (highway) Pickup Truck 2018 Dodge RAM $48,400 22 20 Pickup Truck 2018 Ford F150 $41,990 16 22 Van 2020 KIA Sedona $30,400 18 24 Pickup Truck 2022 Chevrolet Silverado $66,040 14 19 SUV 2022 Chevrolet Tahoe $66,990 15 20 Pickup Truck 2016 Toyota Tacoma $34,999 18 23 Jeep 2019 Wrangler Sahara $41,057 22 24 Pickup Truck 2021 GMC Canyon Denali $43,411 17 24 Pickup Truck 2022 GMC Canyon Elevation $43,620 17 24 Mean: $46,323 Median: $43,411 Mode: #N/A SD: 11852.17003 Sample Size: 11 P: 0.6 Q: 0.4A town official claims that the average vehicle in their area sells for more than the 40th percentile of your data set. Using the data, you obtained in week 1, as well as the summary statistics you found for the original data set (excluding the super car outlier), run a hypothesis test to determine if the claim can he supported. Make sure you state all the important values, so your fellow classmates can use them to run a hypothesis test as well. Use the descriptive statistics you found during Week 2 NOT the new SD you found during Week 4. Because again, we are using the original 10 sample data set NOT a new smaller sample size. Use alpha 2 .05 to test your claim. (Note: You will want to use the function =PERCENTILE.INC in Excel to find the 40th percentile of your data set. Hopefully this Excel function looks familiar to you from Week 2.} First determine if you are using a 2 or ttest and explain why. Then conduct a four step hypothesis test including a sentence at the end justifying the support or lack of support for the claim and why you made that choice