Construct a 95 confidence interval for a sampling

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Construct a 95% confidence interval for a sampling distribution having means of {4, 4, 4, 4.2,4.2, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.4, 4.5, 4.5, 4.6, 4.7, 4.7, 4.7, 4.8, 4.8, 4.8, 4.9, 4.9, 4.9, 4.9, 5,5, 5, 5, 5, 5, 5.1, 5.1, 5.1, 5.2, 5.2}. The standard deviation of the population these sampleswere drawn from was known to be: ơ =0.357.4.567 to 4.7834.558 to 4.7924.577 to 4.7735% to 95%
Which of the followings change value by selecting different confidence levels for the samesampling distribution?
Construct a 95% confidence interval for a sampling distribution having a mean of 25 and asize of 64. The standard deviation of the population where the samples are drawn is 4.24.178 to 25.8225% to 95%24.094 to 25.90624.02 to 25.98Construct a 93% confidence interval for a sampling distribution having means of {4, 4, 4, 4.2,4.2, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.4, 4.5, 4.5, 4.6, 4.7, 4.7, 4.7, 4.8, 4.8, 4.8, 4.9, 4.9, 4.9, 4.9, 5,5, 5, 5, 5, 5, 5.1, 5.1, 5.1, 5.2, 5.2}. The standard deviation of the population these sampleswere drawn from was known to be: ơ =0.357.7% to 93%4.577 to 4.7734.567 to 4.7834.558 to 4.792In which of the following, do we use Z-distribution?Sampling distribution of the mean may be abnormalHaving a sample size of 30 or largerHaving a sample size of less than 30Sampling distribution of the mean is always a uniform distributionPlace the steps in calculation of a confidence interval below in order from left to right.Calculate the sample meanFind the value of the critical value for the given confidence levelUse the population standard deviation if known, otherwise use the sample standard deviationApply the values to the equation for the confidence intervalAs the confidence interval increases for the same sampling distribution, the absolute value of thecritical value:
IncreasesRemains the sameBecomes smallerDecreasesWhich of the followings change value by selecting different confidence levels for the samesampling distribution?
The degree of freedom in a T-distribution is:
Construct a 90% confidence interval for a sampling distribution having a mean of 150,standard deviation of 20, and a size of 16.10% to 90%141.23 to 158.77
139.34 to 160.66140.25 to 159.75As the confidence level increases for the same sampling distribution, the confidence interval:Fluctuates larger then smallerExpandsContractsRemains the sameConstruct a 95% confidence interval for a sampling distribution having means of {4, 4, 4, 4.2,4.2, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.4, 4.5, 4.5, 4.6, 4.7, 4.7, 4.7, 4.8, 4.8, 4.8, 4.9, 4.9, 4.9, 4.9}.4.391 to 4.6174.381 to 4.6274.402 to 4.6065% to 95%Construct a 95% confidence interval for a sampling distribution having means of {4, 4, 4, 4.2,4.2, 4.3, 4.3, 4.3, 4.4, 4.4, 4.4, 4.4, 4.5, 4.5, 4.6, 4.7, 4.7, 4.7, 4.8, 4.8, 4.8, 4.9, 4.9, 4.9, 4.9}.4.391 to 4.6175% to 95%4.381 to 4.6274.402 to 4.606Construct a 93% confidence interval for a sampling distribution having a mean of 150,standard deviation of 20, and a size of 16.141.25 to 158.77
7% to 93%140.25 to 159.75139.34 to 160.66In which of the following, do we use T-distribution?Sampling distribution of the mean must be normalSampling distribution of the mean is always a uniform distributionSampling distribution of the mean may be abnormal

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