1- A 90% confidence interval estimate of the population mean can be interpreted
ID: 3384680 • Letter: 1
Question
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)
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)
Explanation / Answer
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
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