A statistics practitioner took a random sample of 50 observations from a population whose
standard deviation is 25 and computed the sample mean to be 100.
a) Estimate the population mean with 90% confidence.
b) Repeat part (a) using a 95% confidence level.
c) Repeat part (a) using a 99% confidence level.
d) Describe the effect on the confidence interval estimate of increasing the confidence level.
a)
sample mean 'x̄=100.00
sample size n=50.00
std deviation σ=25.000
std errror ='σx="\u03c3\/\\sqrt{n}" =3.5355
for 90 % CI value of z=1.645
margin of error E=z*std error =5.815
lower bound=sample mean-E=94.18
Upper bound=sample mean+E=105.82
from above 90% confidence interval for population mean =(94.18,105.82)
b)
for 95 % CI value of z=1.960
margin of error E=z*std error =6.930
lower bound=sample mean-E=93.07
Upper bound=sample mean+E=106.93
from above 95% confidence interval for population mean =(93.07,106.93)
c)
for 99 % CI value of z=2.576
margin of error E=z*std error =9.107
lower bound=sample mean-E=90.89
Upper bound=sample mean+E=109.11
from above 99% confidence interval for population mean =(90.89,109.11)
d)increasing the confidence level, increases the width of confidence interval
Comments
Leave a comment