Exam 3 - Stat. Еstimation

Question 0

When should we use the term ‘confidence’ and not the term ‘probability’

Answer 0

After taking the sample

Question 1

Since x-bar does not equal mean mu, what do we need to know?

Answer 1

Whether x-bar is a good estimate of mu. In other words, we need a measure of error, or how far x-bar could be from mu

Question 2

We get ME from the

Answer 2

Sampling distribution of c-bar

Question 3

What do we use to obtain ME

Answer 3

The sampling distribution of x-bar

Question 4

T/F if the level of confidence is 95% then 95% if the data will be found within the confidence interval ( x-bar +|- ME)

Answer 4

False. C.I. Is an estimate of value of parameter mu, it is not intended to tell us a range of values for the data

Question 5

T/F we compute a confidence interval estimate for mu by computing the interval x-bar +|-ME where ME is a margin of error

Answer 5

True

Question 6

T/F If confidence level is 95%, we can be 95% confident that the value of x-bar is between x-bar +|- ME

Answer 6

False. The value is always between x-bar -/+ME, we can be 100% confident of that

Question 7

Confidence interval

Answer 7

Is a range of plausible values for a population parameter, for which we are able to quantify our level of confidence

Question 8

Margin of error

Answer 8

Tells us how accurately x-bar estimates mu and

The most x-bar could differ from mu for the computations within the ME of all possible x-bar values