1 A 90 confidence interval estimate of the population mean c

1- A 90% confidence interval estimate of the population mean can be interpreted to mean that:

if we repeatedly draw samples of the same size from the same population, 90% of the values of the sample means will result in a confidence interval that includes the population mean.

there is a 90% probability that the population mean will lie between the lower confidence limit (LCL) and the upper confidence limit (UCL).

we are 90% confident that we have selected a sample whose range of values does not contain the population mean.

we are 90% confident that 10% the values of the sample means will result in a confidence interval that includes the population mean.

2-If the population mean does not fall within the computed confidence interval, there must be something wrong with the sample.

True

False

3-If (14.59, 15.38) is a 95% confidence interval for a population mean, which of the following would be a 98% confidence interval calculated from the same set of sample data that was used to create the 95% confidence interval above?

(14.67, 15.31)

(14.73, 15.24)

(14.52, 15.45)

(14.70, 15.27)

Solution

Confidence interval calculated are (14.52, 15.45). Becuase when increased confidence level widen the interval. We onnly that option avalible that has decresed value than the observed value