Compute a 95% confidenceinterval for the population mean, based on the sample 1.5, 1.54, 1.55, 0.09, 0.08, 1.55, 0.07, 0.99, 0.98, 1.12, 1.13, 1.00, 1.56, and 1.53. Change the last number from 1.53 to 50 and recalculate to the confidenceinterval. Using the results, describe the effect of an outlier or extreme value on the conf
A sample of n=16 scores is obtained from an unknown population. The sample has a mean of M=46 with SS=6000.
a. Use the sample data to make an 80% confidenceinterval estimate
of the unknown population mean.
b. Make a 90% confidenceinterval estimate of μ.
c. Make a 95% confidenceinterval estimate of μ.
Assume that in a hypothesis test with null hypothesis = 13.0 at 0.05, that a value of 11.0 for the sample mean results in the null hypothesis not being rejected. That corresponds to a confidenceinterval result of
A. The 95% confidenceinterval for the mean does not contain the value 13.0
B. The 95% confidenceinterval for
Use the given degree of confidence and sample data to find a confidenceinterval for the population standard deviation o. Assume that the population has a normal distribution.
Weights of men: 90% confidence; n=14, Xbar=160.9lb, s=12.6lb