Chapter 6 Wrap-Up
Concept Check
Take this quiz to check your comprehension of this chapter.
Section Resources
6.1 The Sampling Distribution of the Sample Mean (t)
6.2 Inference for the Mean in Practice
6.3 The Sampling Distribution of the Sample Proportion
6.4 Inference for a Proportion
6.5 Behavior of Confidence Intervals for a Proportion
Key Terms
Try to define the terms below on your own. Check your response by clicking on the term, or looking at the end-of-book glossary!
6.1 Sampling Distribution for the Sample Mean
6.2 Inference for the Mean in Practice
6.3 Sampling Distribution of the Sample Proportion
)6.4 Inference for a Proportion
6.5 Behavior of Confidence Intervals for a Proportion
Extra Practice
Extra practice problems are available at the end of the book (Chapter 6 Extra Practice).
The probability distribution of a statistic at a given sample size
A family of distributions, dependent on degrees of freedom, similar to the normal distribution but with more variability built in
The number of objects in a sample that are free to vary
The probability that an event will occur, assuming the null hypothesis is true
An interval built around a point estimate for an unknown population parameter
The value that is calculated from a sample used to estimate an unknown population parameter
How much a point estimate can be expected to differ from the true population value; made up of the standard error multiplied by the critical value
The number of individuals that have a characteristic of interest divided by the total number in the population
The number of individuals that have a characteristic of interest divided by the total number in the sample, often found from categorical data
If there is a population with mean μ and standard deviation σ, and you take sufficiently large random samples from the population, then the distribution of the sample means will be approximately normally distributed.
Data that describes qualities or puts individuals into categories; also known as categorical data
A random variable that counts the number of successes in a fixed number (n) of independent Bernoulli trials each with probability of a success (p)
A measure of the difference between observations and the hypothesized (or claimed) value
