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
The width of a confidenceinterval estimate for a proportion will be:
A. narrower for 99% confidence than for 95% confidence
B. wider for a sample size of 100 than for a sample size of 50
C. narrower for 90% confidence than for 95% confidence
D. narrower when the sample proportion is 0.50 than when the sample proportion is
Compute a 95% confidenceinterval for the population mean, based on the sample 25, 27, 23, 24, 25, 24 and 59. Change the number from 59 to 24 and recalculate the confidenceinterval. Using the results, describe the effect of an outlier or extreme value on the confidenceinterval.
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 H 0: mu = 14.0 at alpha = 0.05, that a value of 13.0 for the sample mean results in the null hypothesis being rejected. That corresponds to a confidenceinterval result of:
a) the 95% confidenceinterval for the mean contains the value 14.0
b) the 95% confidenceinterval
Suppose that, for a sample size n = -100 measurements, we find that x = 50. Assuming that the standard deviation equals 2, calculate confidenceintervals for the population mean with the following confidence levels:
a) 95% b) 99% c) 97% d) 80% e) 99.73% f) 92%