According to an NRF survey conducted by BIGresearch, the average
family spends about $237 on electronics (computers, cell phones,
etc.) in back-to-college spending per student. Suppose
back-to-college family spending on electronics is normally
distributed with a standard deviation of $54. If a family of a
returning college student is randomly selected, what is the
probability that:
(a) They spend less than $145 on back-to-college
electronics?
(b) They spend more than $390 on back-to-college
electronics?
(c) They spend between $110 and $190 on
back-to-college electronics?
(Round the values of z to 2 decimal places. Round your
answers to 4 decimal places.)
(a)
P(x < 145) = enter the probability that they
spend less than $145 on back-to-college electronics (b) P(x > 390) = enter the probability that they spend more than $390 on back-to-college electronics (c) P(110 < x < 190) = enter the probability that they spend between $110 and $190 on back-to-college electronics |
(A) use normalcdf
set lower = -1E99, upper = 145, mean = 237 and standard deviation = 54
we get
P(X<145) = normalcdf(-1E99,145,237,54)
P(X<145) = 0.0446
(B) use normalcdf
set lower = 390, upper = 1E99, mean = 237 and standard deviation = 54
we get
P(X>390) = normalcdf(390,1E99,237,54)
P(X>390) = 0.0023
(C) use normalcdf
set lower = 110, upper = 390, mean = 237 and standard deviation = 54
we get
P(100<X<390) = normalcdf(110,390,237,54)
P(100<X<390) = 0.9883
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