MCQs of Statistics – SAMPLING AND SAMPLING DISTRIBUTION

If the sampled population has a normal distribution, when is the sampling distribution of the sample mean X also a normal distribution?

A sampling distribution is the probability distribution for which one of the following:

Selection of questions by the students to solve a paper is ____________

In the sampling without replacement a sampling unit can be selected_________

Non-random sampling is also called___________

Probability distribution of a statistics is called_____________

The smallest individuals which constitute the entire population are called ______________

To purchase the fruit, we use the ____ sampling.

N – n/N -1 is called ________ population.

There are ________ probability sampling.

A list of sampling _____ is called sampling frame.

The process of selecting sample from the population is called_________

In probability sampling each sampling unit has some___________

Sampling error can reduced by ___________

In sampling with replacement be t a sampling unit can selected_____________

Standard deviation of the sampling distribution of a statistics is called_______

Non-sample errors are reduced by:________

In w.o.r ²σ_x=___________

If in a sampling distribution of X the sample size is 25,
what assumption must hold for the sampling distribution of X to be normal?

Sampling errors are reduced by:__________

The difference between statistics and parameter is called:________

For making voters lists in Pakistan we need:__________

If we increase the sample size, it means that it:__________

Which of the following is impossible in sampling?

For a population consisting of 4 members, a sample of size ‘2’ is taken replacement, then the number of all the possible samples are:

The process of dividing a heterogeneous

A sample estimate is used to describe a characteristic of a

The standard deviation of sampling distribution of a statistics is ___________

Convenience sampling is an example of

The sampling error is the

For a population with any distribution, the form of the sampling distribution of the sample mean is

A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is

A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately

Random samples of size 17 are from a population that has 200 elements, a mean of 36, and a standard deviation of 8.
which of the following best describes the from of the sampling distribution of the sample mean for this situation?