In: Statistics and Probability
A random sample of n=64 observations is drawn from a population with a mean equal to 51 and a standard deviation equal to 32.
a. Find the probability that overbar x is less than 43.
b. Find the probability that overbar x is greater than 57.
c. Find the probability that x over bar x falls between 43 and 59.
(Round to three decimal places as needed.)
sample standard deviation = (population standard deviation)/(sqrt{sample size})
sample size is n = 64 and population standard deviation = 32
this implies, sample standard deviation s = 32/sqrt{64}
= 32/8
= 4
So, sample mean = 51 and standard deviation is s = 4
(A) probability that overbar x is less than 43.
using normalcdf(lower bound, upper bound, mean, standard deviation)
setting lower bound = negative infinity or -E99, upper bound = 43, mean = 51 and standard deviation = 4
= normalcdf(-E99,43,51,4)
= 0.023
(B) probability that overbar x is greater than 57.
using normalcdf(lower bound, upper bound, mean, standard deviation)
setting lower bound =57, upper bound = infinity or E99, mean = 51 and standard deviation = 4
= normalcdf(57,E99,51,4)
= 0.067
(C) probability that x over bar x falls between 43 and 59
using normalcdf(lower bound, upper bound, mean, standard deviation)
setting lower bound =43, upper bound = 59, mean = 51 and standard deviation = 4
= normalcdf(43,59,51,4)
= 0.955