A town official claims that the average vehicle in their area sells formore thanthe 40^thpercentile 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 be 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 = .05 to test your claim.

Column1 Mean 54699.9 Standard Error 6280.536 Median 48500 Mode 48000 Standard Deviation 19860.8 Sample Variance 3.94E+08 Kurtosis 0.07792 Skewness 0.114249 Range 67000 Minimum 19000 Maximum 86000 Sum 546999 Count 10 Confidence Level(95.0%) 14207.56

VEHICLE TYPE YEAR MAKE MODEL PRICE MPG CITY MPG HIGHWAY TOW CAPACITY Ford 2020 F350 King Ranch 86,000 10 20 13,000 Chevy 2021 3500 Silverado 80,000 8 13 16,800 GMC 2020 3500 Denali 73,999 15 20 12,000 Ram 2020 3500 Mega Cab 50,000 17 20 25,000 Toyota 2020 NA Tundra 49,000 13 17 10,000 GMC 2020 2500 Sierra 48,000 10 20 17,000 Ford 2020 F250 Super Duty 48,000 17 24 13,000 GMC 2020 1500 Sierra 48,000 17 24 12,000 Toyota 2020 NA Tacoma 45,000 17 20 6,800 Dodge 2006 3500 Ram 19,000 13 21 16,000 Mean 54,700 Medium 48,500 SD 19860.79723 Sample Size 10 New SD W/ Super car 9930.40 P(x<54200) 47.99% p 0.7 P(x>55700) 45.99% q 0.3 p(x=54700) 0.0040174% P(x>55700) 52.01% P(53200