Chapter 8

Question 0

To make an inference about the population parameter we need…

Answer 0

A statistic that estimated the parameter and the sampling distribution of the statistic (sampling distribution of sample mean)

Question 1

What is a statistic?

Answer 1

A number that is computed from the sample data
-the sampling distribution of a statistic is the distribution we obtain from repeatedly drawing samples and recalculating the statistic

Question 2

When a parent population has mean mu (u), standard deviation (sigma), the sampling distribution of x-bar had mean mu (u) and
SD = sigma/sqrt(n)

Answer 2

This is the square root law

Question 3

If n is large, the sampling distribution of x-bar is approximately normal, no matter what the parent population..

Answer 3

This is the central limit Theron

Question 4

x-bar = sample mean

Answer 4

Let x-bar denote the corresponding random variable ( a variable whose value is determined by chance, according to a distribution)

Question 5

We say x-bar is an unbiased estimate of mu (u) and we know that for large sample sized the observed c-bar will be close to mu (u)

Answer 5

Law of large numbers