Sampling

Simple random sampling for finite population are based upon the use of random numbers.

• True

• False

We can use simple random sampling for infinite population.

• True

• False

You want to make inference about typical park customers over a typical summer day. So you selected customers on a day when park attendance was restricted to employees of a large company. This sample taken on this particular day was likely to be a representative of the target population.

• True

• False

If many samples are taken from the same population, their means will be different.

• True

• False

If random large samples of equal size are repeatedly drawn from any population, then the average of the mean of sample means will be approximately the same as the population mean.

• True

• False

Which of the following is NOT a reason for sampling?

• The adequacy of sample results.

• The physical impossibility of checking all the items in the population.

• The destructive nature of certain tests.

• All of these are reasons for sampling.

Which of the following is NOT a method of probability sampling?

• Stratified sampling.

• Random sampling.

• Systematic sampling.

• Census sampling.

• Cluster sampling.

In a simple random sample

• Every item has the same chance to be in the sample.

• Every kth item is selected to be in the sample.

• Every item has a chance to be in the sample.

• All of these.

The mean of the all the sample means and the population mean will

• Always be equal.

• Always be normally distributed.

• Characterized by the standard error of the mean.

• None of these

Among the many essential requirements of survey prior to data collection

• Validity

• Reliability

• Sample size

• Pilot test

• All of these