AP STATS Chapter 7 Review Flashcards

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!