In: Statistics and Probability
In the EAI sampling problem, the population mean is $51,400 and the population standard deviation is $5,000. When the sample size is n = 30, there is a 0.489 probability of obtaining a sample mean within +/- $600 of the population mean. Use z-table.
a. What is the probability that the sample mean is within $600 of the population mean if a sample of size 60 is used (to 4 decimals)?
b. What is the probability that the sample mean is within $600 of the population mean if a sample of size 120 is used (to 4 decimals)?
Solution :
Given that,
mean = = 51400
standard deviation = = 5000
a) n = 60
= = 51400
= / n = 5000 / 60 = 645.5
P(50800 < < 52000)
= P[(50800 - 51400) /645.5 < ( - ) / < (52000 - 51400) /645.5 )]
= P( -0.93 < Z < 0.93)
= P(Z < 0.93) - P(Z < -0.93)
Using z table,
= 0.8238 - 0.1762
= 0.6476
b) n = 120
= = 51400
= / n = 5000 / 120 = 456.4
P(50800 < < 52000)
= P[(50800 - 51400) /456.4 < ( - ) / < (52000 - 51400) /456.4 )]
= P( -1.31 < Z < 1.31)
= P(Z < 1.31) - P(Z < -1.31)
Using z table,
= 0.9049 - 0.0951
= 0.8098