Statistics Sampling and Mean Concepts

Vocabulary flashcards covering key concepts related to sampling distributions, population mean, standard deviation, and probability in statistics.

Sampling Distribution

The probability distribution of a sample statistic (e.g., the sample mean) derived from a larger population.

Standard Deviation

A measure of the amount of variation or dispersion in a set of values.

Population Mean (μ)

The average of a set of values in the entire population.

Sample Size (n)

The number of observations in a sample.

Normal Distribution

A probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence.

Sample Proportion (p)

The proportion of a sample that exhibits a certain characteristic.

Probability

A measure of the likelihood that an event will occur.

Central Limit Theorem

The theorem that states that the distribution of sample means approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.

Confidence Level

The proportion of times that a confidence interval will capture the true parameter if the experiment were repeated many times.

Z-Score

The number of standard deviations a data point is from the mean.