SASA Diagnostic Exercises

The Central Limit Theorem states that "if all samples of a particular size are selected from any population, the sampling distribution of the sample mean is approximately _______"

• 1. an abnormal distribution

• 1. a leptokurtic distribution

• 1. a normal distribution

• 1. a platykurtic distribution

1. This is a consequence of poor and haphazard sample design, sloppy data collection, faulty and biased measuring instruments, among others. Being cognizant of these can allow us to avoid such mistakes prior to data gathering.

• Allowable error

• 1. Non-sampling error

• 1. Sampling error

• 1. Standard error

1. This is referred to as the degree of certainty that the population is approximated.

• 1. Confidence level

• 1. Normality

• 1. Probability

• 1. Sampling 

1. This represents the variability in the population being studied.

• Population Mean

• 1. Population Median

• 1. Population Skewness

• 1. Population Standard Deviation

This is the maximum margin of error that can be tolerated.

• 1. Allowable error

• 1. Non-sampling error

• 1. Sampling error

• 1. Standard deviation

The sampling distribution of the sample mean is a probability distribution of all possible sample means of a given sample size.

• True

• False

As the sample size increases, the standard deviation of the sample mean distribution decreases.

• True

• False

With a multistage random sampling, you create gradually smaller groups at each stage using different sampling techniques, and the final sample is made up of clusters.

• True

• False

When a sample is representative, it means that the sample is a subset of a population that aims to accurately reflect the characteristics of the larger population.

• True

• False

Randomized sampling is a probability sampling selection approach that gives everyone in the population of interest an equal chance of being selected.

• True

• False