AP STATS Chapter 7 Review Flashcards

What is the symbol for Sample Proportion?

What is the symbol for Sample Mean?

What is the symbol for Population Proportion?

What is the symbol for Population Mean?

What is the symbol for Population Standard Deviation?

What is the distribution of values taken by a statistic in all possible samples of the same size from the same population called?

What does the central limit theorem refer to regarding the sampling distribution of the sample mean?

What does it mean for a statistic to be an unbiased estimator of the parameter?

What is sampling variability?

What is a sampling distribution?

How can you reduce the variability of a statistic?

What is the meaning of accurate in statistics?

What is the meaning of precise in statistics?

Sampling Concepts

Sample proportion represented by ^p denotes the proportion of a sample.
Sample mean represented by -x signifies the average of a sample's values.
Population proportion denoted by p refers to the proportion of a specific characteristic within an entire population.
Population mean, represented by u, is the average value of a characteristic across the entire population.
Population standard deviation symbolized by o measures the spread of a population's values.

Sampling Distributions

The distribution of values taken by a statistic across all possible samples of the same size from the same population is known as the sampling distribution.
The central limit theorem states that for sufficiently large samples, the sampling distribution of the sample mean will tend to be normally distributed.

Estimation and Variability

A statistic is considered an unbiased estimator of the parameter if it accurately reflects the true population parameter.
Sampling variability highlights that the value of a statistic will change with repeated sampling from the same population.
A sampling distribution outlines the possible values a statistic can take and how frequently each value occurs.

Reducing Variability

Variability of a statistic can be minimized by increasing the sample size, resulting in more stable estimates.

Terminology Clarification

An accurate statistic equates to being unbiased, meaning it does not systematically deviate from the true value.
A precise statistic corresponds to low variability, indicating consistent results across samples.

Test your knowledge of key statistical concepts with these flashcards from Chapter 7 of AP Statistics. This chapter covers essential definitions such as sample proportions, means, and population standard deviations. Perfect for on-the-go review or studying before exams!