Chapter 8- Samples, Sampling Distributions, and Confidence Intervals

Question 1

Probability Theory

Answer 1

Knowledge about population used to make judgments about sample

Question 2

Inferential Statistics

Answer 2

Knowledge about sample being used to make judgments about populations

Question 3

Random Sample

Answer 3

Subset of a population chosen so that all samples of the specified size have an equal probability of being selected

Question 4

Biased Sample

Answer 4

Sample selected in such a way that not all samples from the population have an equal chance of being chosen

Question 5

Sampling Error

Answer 5

Amount of difference (inconsistency) between sample statistic and population parameter

Question 6

Sampling distribution

Answer 6

theoretical distribution of a statistic based on all possible random samples drawn from the same population

Question 7

Expected value

Answer 7

the mean of a sampling distribution

Question 8

Standard error

Answer 8

standard deviation of a sampling distribution

Question 9

Central Limit Theorem

Answer 9

The sampling distribution of the mean approaches a normal curve as N gets larger
This theorem always applies when the sample size is adquate and you know baby sigma

Question 10

Without baby sigma, the justification for….

Answer 10

using a normal distribution curve evaporates