14 Samples and Sampling Distribution

Question 1

Inferential stats

Answer 1

Make statements about the population that are based on an analysis of the sample data

Question 2

With replacement samples

Answer 2

Get the first variable, measure and release it, and draw the second

Question 3

What is true of with replacement samples?

Answer 3

They are independent

Question 4

How do you work out the sample mean

Answer 4

Work out the mean for each individual sample

Question 5

Sample statistic

Answer 5

Any function of the observations, it is a random variable

Question 6

Sampling distribution

Answer 6

A probability distribution of all the possible values of a sample statistic obtained from all possible samples of the same number of observations drawn from the population

Question 7

Population parameters

Answer 7

Fixed values related to a particular population or probability distribution

Question 8

What is the expected value of the sample mean

Answer 8

Mu, the population mean

Question 9

What is the variance of the sample mean

Answer 9

Population variance/n

Question 10

What is the sum of independent random variables equal to?

Answer 10

A normal random variable

Question 11

Central limit theorem

Answer 11

Shows that the sample mean of a random sample of n observations drawn from a population with any probability distribution will be approximately distributed if n is large

Question 12

Lead of large numbers

Answer 12

Given a random sample size of n taken from a population mean, the sample mean will approach the population mean as n increases, regardless of the underlying probability distribution