Module 8 Practice Questions

Front

What is a statistic?

Back

A statistic is a numerical value that describes a characteristic of a sample, such as the sample mean or sample standard deviation.

Front

What is a parameter?

Back

A parameter is a numerical value that describes a characteristic of a population, such as the population mean or population standard deviation.

Front

What is the difference between a sample and a population?

Back

A sample is a subset of individuals selected from a larger population, while a population includes all individuals of interest.

Front

What does the mean represent in a data set?

Back

The mean is the average value of a data set, calculated by summing all values and dividing by the number of values.

Front

What does the standard deviation indicate?

Back

The standard deviation measures the amount of variation or dispersion in a set of values.

Front

What is the Central Limit Theorem?

Back

The Central Limit Theorem states that the sampling distribution of the sample mean will be approximately normal if the sample size is sufficiently large, regardless of the population's distribution.

Front

What is a normal distribution?

Back

A normal distribution is a probability distribution that is symmetric about the mean, with most observations clustering around the central peak.

Front

How do you determine if a sampling distribution is normal?

Back

A sampling distribution can be considered normal if the population distribution is normal or if the sample size is large enough (typically n > 30).

Front

What is the formula for calculating the mean?

Back

Mean = (Sum of all values) / (Number of values)