caiibmocktest.in

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Question 1 reset

The precision with which the sample mean can be used to estimate the population mean decreases as the standard error __________ .

increases

decreases

Question 2 reset

The dispersion among sample means is, the dispersion among the sampled items themselves because

Each sample is smaller than the population from which it is drawn

Very large values are averaged down and very small values are averaged up

Question 3 reset

The central limit theorem assures us that the sampling distribution of the mean

Is always normal

Is always normal for large sample sizes

Question 4 reset

The standard error of the mean for a sample size of two or more is

Generally greater than the standard deviation of the population

Usually, the standard deviation of the population

Question 5 reset

In a normally distributed population, the sampling distribution of the mean

Is normally distributed

Has a mean equal to the population mean

Has a standard deviation equal to the population standard deviation divided by the square root of the sample size

All the above

Question 6 reset

The central limit theorem permits us to use sample statistics to make inferences about population parameters.

True

False

Question 7 reset

A portion of the elements in a population chosen for direct examination or measurement is a Sample.

True

False

Question 8 reset

The proportion of the population contained in a sample is the Sampling fraction.

True

False

Question 9 reset

Statistical inference is the process by which inferences about a population are mad e from information about a sample.

True

False

Question 10 reset

Stratified sampling should be used when each group considered has small variation within itself but there is wide variation between different groups.

True

False

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