In: Statistics and Probability
A study of tattoos found the following:
Tattoo (T) No Tattoo (T')
Millennial(M) 200 800 1000
Not Millennial (M') 300 400 700
500 1200 1700
Compute these probabilities:
(1) P (Millennial and Tattoo)
(2) P (Millennial)
(3 P (Mlilennial / Tattoo)
(4) P (Millennial or Tattoo)
(5) P (Tatoo / Millenial)
(6) Is there a relationship between being a millennial and having a tattoo?
Problem B:
Suppose basketball players have an average life, normally distributed, of 80 years with a population standard deviation of 9 years.
7)What percent of basketball players will live more than 96 years?
8) What percent of basketball players will not make it past the age of 60?
9) Calculate the 96th percentile.
10) Calculate the 2nd percentile.
11) What proportion of basketball players will live between 70 and 85 years.
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Can you answer questions #’s 1-11? Can you show the calculations for each problem?
Tattoo (T) No Tattoo (T') Total
Millennail 200 800 1000
No Millennail 300 400 700
Total 500 1200 1700
(1) P(Millennail AND Tatto) = 200/1700 = 0.1176
(2) P(Millennai) = 1000/1700 = 0.5882
(3) P(Millennai/ Tattoo) = P(Millennai AND Tattoo)/P(Tattoo) = 200/500 = 0.4
(4) P(Millennai OR Tattoo) = P(Millennai) + P(Tattoo) - P(Millennai AND Tattoo)
= 1000/1700 + 500/1700 - 200/1700
= 0.5882 + 0.2941 - 0.1176 = 0.7647
(5) P(Tattoo/ Millennai) = P(Tattoo AND Millennai)/P(Millennai) = 200/1000 = 0.2
(6) We have :
P(Millennai) = 1000/1700 = 0.5882
P(Tattoo) = 500/1700 = 0.2941
So,
P(Millennai) X P(Tattoo) = 0.5882 X 0.2941 = 0.1730
P(Millennai AND Tattoo) = 200/1700 = 0.1176
Since P(Millennai) X P(Tattoo) P(Millennai AND Tattoo), there is a relationship between being a millennial and having a tattoo.
(7)
= 80
= 9
Z = (96 - 80)/9 = 1.7778
Table of Area Under Standard Curve gives area = 0.4625
So,
P(X>96) = 0.5 - 0.4625 = 0.0375 = 3.75 %
(8)
Z = (60 - 80)/9 = - 2.2222
Table gives area = 0.4868
So,
P(X<60 ) = 0.5 + 0.4868 = 0.9868
(9) 96th perntile corresponds to area = 0.96 - 0.5 = 0.46 from mid value to Z on RHS.
Table gives Z = 1.75
So,
Z = 1.75 = (X - 80)/9
So,
X = 80 + (1.75 X 9) = 95.75
(10)
3nd percentile corresponds to area = 0.5 - 0.02 = 0.48 from mid value to Z on LHS.
Table gives Z = - 2.08
So,
Z = - 2.08 = (X - 80)/9
So,
X = 80 - (2.08 X 9) = 61.28
(11)
Case 1:from X = 70 to mid value:
Z = (70 - 80)/9 = - 1.1111
Table gives area = 0.3665
Case 2: X from mid value to 85:
Z = (85 - 80)/9 = 0.5555
Table gives area = 0.2088
So,
P(70 < X < 85) = 0.3665 + 0.2088 = 0.5753