Given a normal distribution with
muμequals=105
and
sigmaσequals=20,
and given you select a sample of
n equals 16n=16,
complete parts (a) through (d).Click here to view page 1 of the cumulative standardized normal distribution table.
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Click here to view page 2 of the cumulative standardized normal distribution table.
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a. What is the probability that
Upper X overbarX
is less than
9292?
P(Upper X overbarXless than<9292)equals=. 0047.0047
(Type an integer or decimal rounded to four decimal places as needed.)
b. What is the probability that
Upper X overbarX
is between
9292
and
93.593.5?
P(9292less than
(Type an integer or decimal rounded to four decimal places as needed.)
c. What is the probability that
Upper X overbarX
is above
106.6106.6?
P(Upper X overbarXgreater than>106.6106.6)equals=. 3745.3745
(Type an integer or decimal rounded to four decimal places as needed.)
d. There is a
6262%
chance that
Upper X overbarX
is above what value?
Upper X overbarXequals=103.47103.47
(Type an integer or decimal rounded to two decimal places as needed.)
Question is complete. Tap on the red indicators to see incorrect answers.
Using central limit theorem,
P( < x) = P( Z < x - / / sqrt(n) )
a)
P( < 92) = P( Z < 92 - 105 / 20 / sqrt(16) )
= P (Z < -2.6)
= 0.0047
b)
P(92 < < 93.5) = P( < 93.5) - P( < 92)
= P( Z < 93.5 - 105 / 20 / sqrt(16) ) - P( Z < 92 - 105 / 20 / sqrt(16) )
= P( Z < -2.3) - P ( Z < -2.6)
= 0.0107 - 0.0047
= 0.0060
c)
P( > 106.6) = P( Z >106.6 - 105 / 20 / sqrt(16) )
= P(Z > 0.32)
= 0.3745
d)
We have to calculate x such that
P( > x) = 0.62
P( Z > x - / / sqrt(n) ) = 0.62
P( Z < x - / / sqrt(n) ) = 0.38
From the Z table, z-score for the probability of 0.38 is -0.3055
x - / / sqrt(n) = -0.3055
x - 105 / 20 / sqrt(16) = -0.3055
Solve for x
x = 103.47
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