Question

Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number.

1,283.25 1,263.47 1,262.47 1,269.23 1,217.56 1,211.45 1,210.28 1,186.51 1,186.92 1,097.88 1,120.84 1,105.62 1,162.81 1,146.82 1,110.71 1,161.75 1,102.49 1,134.46 1,056.62 1,072.32 1,115.29 1,096.80 1,119.80 1,084.33 1,219.73 1,114.91 1,215.41 1,280.39 1,215.56 1,298.41 1,319.04 1,386.52 1,341.39 1,389.11 1,339.33 1,318.09 1,393.18 1,388.45 1,421.59 1,485.11 1,518.15 1,526.69 1,519.67 1,520.74 1,514.66 1,518.27 1,508.79 1,508.68 1,479.23 1,476.23 1,448.23 1,447.07 1,485.94 1,434.23 1,455.84 1,458.63 1,452.56 1,433.90 1,466.71 1,486.65 1,485.95 1,484.40 1,480.39 1,451.70 1,439.20 1,430.88 1,439.23 1,429.73 1,419.83 1,404.32 1,393.34 1,394.21 1,360.66 1,367.37 1,337.02 1,336.14 1,351.89 1,360.40 1,343.56 1,348.84 1,349.59 1,356.04 1,352.62 1,355.12 1,361.17 1,347.83 1,350.27 1,345.02 1,344.66 1,343.56 1,340.62 1,328.13 1,320.54 1,295.28 1,289.92 1,304.96 1,312.99 1,313.55 1,306.69 1,295.34 1,301.35 1,303.05 1,315.46 1,320.70 1,334.87 1,311.46 1,298.00 1,298.80 1,299.19 1,311.37 1,308.86 1,291.80 1,292.03 1,291.37 1,273.74 1,260.11 1,261.29 1,262.62 1,290.00 1,265.13 1,260.99 1,259.13 1,242.80 1,246.15 1,245.49 1,253.07 1,243.64 1,243.01 1,217.14 1,215.45 1,208.67 1,202.31 1,189.13 1,207.68 1,209.00 1,187.83 1,176.63 1,205.10 1,219.00 1,225.09 1,241.39 1,246.52 1,218.76 1,234.03 1,229.93 1,238.71 1,232.41 1,229.15 1,231.30 1,239.56 1,234.25 1,220.17 1,206.00 1,204.41 1,204.93 1,211.38 1,181.41 1,168.39 1,188.10 1,192.85 1,171.02 1,167.84 1,168.89 1,151.29 1,189.53 1,191.25 1,182.69 1,198.45 1,177.60 1,167.26 1,164.29 1,197.27 1,174.71 1,188.01 1,204.80 1,173.99 1,169.95 1,152.32 1,193.99 1,209.01 1,216.68 1,225.14 1,239.41 1,250.41 1,132.12 1,137.81 1,146.21 1,138.07 1,130.10 1,146.33 1,146.35 1,153.58 1,150.34 1,144.90 1,144.21 1,140.48 1,124.83 1,116.35 1,131.59 1,121.58 1,111.25 1,097.95 1,080.91 1,076.01 1,079.80 1,086.35 1,115.52 1,121.88 1,111.42 1,102.33 1,103.60 1,092.50 1,085.35 1,088.77 1,077.03 1,078.72 1,080.38 1,066.04 1,044.34 1,042.22 1,053.05 1,036.23 1,103.63 1,117.95 1,116.46 1,134.15 1,133.47 1,140.77 1,151.42 1,149.63 1,138.85 1,162.30 1,178.98 1,164.21 1,120.44 1,132.03 1,164.27 1,162.38 1,166.27 1,174.10 1,189.39 1,185.40 1,162.61 1,168.08 1,188.48 1,287.58 1,272.18 1,263.45 1,256.00 1,264.55 1,248.84 1,236.37

Answer 1

Mean = 1245.39

Median = 1219.95

Mean > Median

So If the mean is greater than the median, the distribution is positively skewed.

So Data is not normally distributed .

PL??