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We find the Mean and standard deviation of the maximum seating capacity of stadiums using Minitab
a. Mean = 60143
Standard Deviation = 10462
b.
c. The smooth curve over
histogram
d. The histogram is bell shaped, however slightly skewed to the right.
e. X can be more or less approximated by a normal distribution.
X ~ N(60143,10462)
f. P[ X < 67000]
= P[(X - 60143)/10462 < (67000 - 60143)/10462]
= P[ Z < 0.6554] {Z = (X - 60143)/10462 ~ N(0,1)}
= 0.74389 {Values obtained from a standard normal table}
g.
To determine the cumulative relative frequency that maximum capacity of sports stadiums is less than 67000 spectators.
= (Number of stadiums in sample with stadium capacity less than 67000)/ (Total number of stadiums in sample)
= 43/60
= 0.7167
h. The answers in f and g aren't exactly the same because in f we assume normality and fit a normal distribution to the data obtained and then calculate the probability. However in g we just calculate the exact probability based on sample values that are given in the data.
A sample of the maximum capacity of spectators of sports stadiums is included in the table....
School
Air Force Falcons
Akron Zips
Alabama Crimson Tide Arizona State Sun Devils Arizona
Wildcats
Arkansas Razorbacks Arkansas State Red Wolves Army Black Knights
Auburn Tigers
Ball State Cardinals Baylor Bears
Boise State Broncos Boston College Eagles Bowling Green Falcons
Buffalo Bulls
BYU Cougars
California Golden Bears
Central Michigan Chippewas Charlotte 49ers
Cincinnati Bearcats
Clemson Tigers
Colorado Buffaloes
Colorado State Rams
Connecticut Huskies
Duke Blue Devils
East Carolina Pirates
Eastern Michigan Eagles
Florida International Golden Panthers Florida Atlantic Owls
Florida...