In: Statistics and Probability
When investigators find a footprint at a crime scene they use some information about foot length in order to determine the criminal’s gender. If they find a very long footprint then they may conclude that the criminal is a man. But, without other evidence, how sure can the investigator be? Suppose that the distribution of men’s foot lengths (in centimeters) is approximately N (25, 4) and the distribution of women’s foot lengths is approximately N (19, 3). Please answer the following questions.
a) Suppose that the investigator decides to use the midpoint of the means as a cutoff point; if a footprint is longer than 22 cm they will assume that the criminal is a man. How often will they make a mistake (i.e., what percentage of women have feet longer than 22cm and what percentage of men have feet shorter than 22 cm)?
b) Since it is not desirable to make a mistake so often, determine what the cutoff point needs to be (this will be a foot length) so that they will only misidentify a man’s footprint as a woman’s 5% of the time.
c) With this new cutoff point, what issue arises? (Hint: Take a look at how often a woman’s footprint will be misidentified as a man’s.)
a)
µ = 25
σ = 4
P( X ≤ 22 ) = P( (X-µ)/σ ≤ (22-25)
/4)
=P(Z ≤ -0.750 ) = 0.2266
µ = 19
σ = 3
P ( X ≥ 22.00 ) = P( (X-µ)/σ ≥ (22-19) /
3)
= P(Z ≥ 1.000 ) = P( Z <
-1.000 ) = 0.1587
Total = 0.2266+0.1587
= 0.3853
b)
µ= 25
σ = 4
proportion= 0.05
Z value at 0.05 =
-1.64 (excel formula =NORMSINV(
0.05 ) )
z=(x-µ)/σ
so, X=zσ+µ= -1.64 *
4 + 25
X = 18.42 (answer)
Cut off = 18.42
c)
µ = 19
σ = 3
P ( X ≥ 18.42 ) = P( (X-µ)/σ ≥
(18.4205854921941-19) / 3)
= P(Z ≥ -0.193 ) = P( Z <
0.193 ) = 0.5766 (answer)
57.66% women's footpront might identify as Men
Thanks in advance!
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