Ch. 10 Hypothesis Testing
I. Introduction
Experimental example
2.Logic of Hypothesis Testing
a. Hypotheses
b. Testing the Null
i. compute probability that differences are due to chance
ii. if the probability that the difference is due to chance is low enough, we can reject the null,
accept the alternative; if the probability that the difference is due to chance is high we must fail to
reject the null
iii. "How low" depends on our "decision rule"
Example, using the sign test
DIRECTIONAL HYPOTHESIS, TESTING ONE-TAILED PROBABILITY
H1: Tests cause increases in anxiety ie., anxiety is higher on test days than on others
Ho: Tests do not increase anxiety
11 students selected randomly from stat 241 class
| During test | During Class |
| 17 | 15 |
| 12 | 10 |
| 16 | 17 |
| 20 | 13 |
| 18 | 10 |
| 21 | 20 |
| 19 | 14 |
| 18 | 17 |
| 14 | 11 |
| 19 | 21 |
| 22 | 12 |
An investigator wants to measure the effectiveness of an advertisement that promotes a brand of
toothpaste. He/she randomly selects people from the population and shows one group that
advertisement , but not the other group. Then he/she measures the number of tubes of toothpaste
they bought. Did the ad work i.e, did it increase sales?
H1?
Ho?
| AD GROUP | NO-AD GROUP |
| 4 | 1 |
| 4 | 2 |
| 3 | 0 |
| 1 | 2 |
| 2 | 0 |
| 0 | 1 |
| 1 | 0 |
| 0 | 1 |
3. Type I, Type II Error
4. Influences on setting alpha
5. Directional (one-tailed) vs. Non-directional (two-tailed) Hypothesis Testing
A. Directional: Differences is expressed in a particular direction
B. Non-Directional
| AIDS INFO | NO-AIDS INFO |
| 19 | 22 |
| 12 | 20 |
| 17 | 19 |
| 21 | 24 |
| 15 | 18 |
| 23 | 19 |
| 21 | 25 |
| 10 | 18 |
| 20 | 23 |
| 10 | 15 |
| 14 | 17 |
6. Deciding on directional vs. Nondirectional
1. When there is good theoretical reason
2. Must be decided in advance