CHAPTER 3

Question 1

inference about a parameter made by finding a single value or a range of values computed from the sample data that may be used to make a statement about the unknown value of the parameter

Answer 1

estimation

Question 2

inference about a parameter made by assessing whether or not the sample data supports an assertion made about the true value of the parameter

Answer 2

hypothesis testing

Question 3

single statistic whose realized value is used to estimate the true but unknown value of the population parameter

Answer 3

point estimator

Question 4

rule that tells us how to calculate two numbers based on sample data that forms an interval

Answer 4

interval estimator

Question 5

properties of a point estimator

Answer 5

• unbiased - average of estimates = true value of the parameter
• reliable - small standard error = more reliable
• efficient - smallest variance = most efficient estimator

Question 6

What are the:
unbiased estimators
efficient estimators

Answer 6

unbiased: x bar for myu, s^2 for sigma^2
efficient: x bar for myu

Question 7

Interval Estimation

When the confidence coefficient is high, what is the value of alpha?

Answer 7

smaller

Question 8

what is a good confidence interval estimate?

Answer 8

one that is narrow and has a large confidence coefficient

Question 9

what is the confidence coefficient?

Answer 9

(1-alpha)100%

Question 10

What happens to** the length of the interval** as sample size n is fixed and confidence coefficient increases?

Answer 10

increase

Question 11

when the confidence coefficient is fixed and n increases, what happens to the length of the interval?

Answer 11

decreases

Question 12

the uper bound on the absolute difference between the estimator and the parameter called the error of estimation

Answer 12

margin of error