QUESTION 15

The t distribution should be used when ...

the population to be sampled is not normal

the population to be sampled is unimodal

the sampling distribution is normal and the sample size is small

the standard deviation of the population is known

QUESTION 16

A type I error means

That I accepted the null hypothesis when it was really false

That I rejected the null hypothesis when it was really true

I don't have a sample size to make a decision

That my positive hypothesis is wrong

QUESTION 17

If in an ice cream shop I can select 1 of 10 different flavors, with 1 of 5 different additives and 1 of 3 different types of cones. How many different combinations can I make with one of those flavors, one of the aggregates, and one of the cones?

10

fifty

150

300

QUESTION 18

The following contingency table records the smoking habit of 370 college students:

Non-smokers (C) Intermediate smoker (D) Smoker (G) Total

Men (A) 135 13 5 153

Women (B)

187 21 9 217

Total 322 34 14 370

If a student is randomly selected, what is the probability that they are non-smokers?

135/322

187/322

322/370

135/370

QUESTION 19

As the sample size increases

The confidence interval also increases (gets larger)

The confidence interval decreases (becomes smaller)

The confidence interval remains the same

The population mean increases.

QUESTION 20

By the Central Limit Theorem, the traditional sample size that distinguishes a large sample size from a small sample size is when it is greater than

100

30

500

twenty