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§ 1 Central Limit Theorem (CLT) 1. The CLT states: draw all possible samples of size...

§ 1 Central Limit Theorem (CLT)

1. The CLT states: draw all possible samples of size _____________ from a population.

The result will be the sampling distribution of the means will approach the ___________________-

as the sample size, n, increases.

2. The CLT tells us we can make probability statements about the mean using the normal distribution even though we know nothing about the ______________-

3.

The standard error of the mean is the  ___________ of the sampling distribution of the means and can be calculated by using _____________.

§ 2 Confidence Intervals

1. As Confidence Level increases, the range of the Confidence Interval______

Given: n = 30  •  x-bar = 43   •   s = 6.35   •   Confidence = 95%,

Then: CI   [  ______,________ ]

2. The t-distribution has a ________ and a___________

The t-distribution accounts for the greater uncertainty associated with  ______ samples.

§ 3 Hypothesis Testing

1. Which sign is never in the null hypothesis? ________

2.

Kit and Kat are in a loving relationship. They think Kat is pregnant and if she is they will

remodel the spare bedroom into a baby bedroom and baby proof the house. Kit and Kat

buy a pregnancy test.  The null hypothesis is  ____________________

3. The pregnancy test shows Kat is pregnant, and Kit immediately orders $2500 of baby goods on Amazon, only later to find out Kat is not pregnant.        Kit & Kat are in cell______

4. “A missed opportunity” is represented by cell ______-

              Fail to                                     

              Reject Ho     Reject Ho           

A

B

C

D

Ho is                       

True

Ho is

False

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