Week 4

Question 1

Tests are designed to look at what?

Answer 1

• Differences within means

- Continuous variables across independent groups of cases

Question 2

If not using random sampling, how can you make it representative?

Answer 2

-compare demographics of the sample, to demographics of the population

Question 3

What is Assumptions of Independence?

Answer 3

-Each person only contributes to single score of data (no twins, no pre-test post-test)

Question 4

What must the dependent variable be?

Answer 4

Continuous

• At least 7 possible values is good enough to be continuous
• Could be a scale with 50 possible values

Question 5

If the sample is representative of the population, what must be missing?

Answer 5

Outliers

Question 6

What type of distribution is assumed?

Answer 6

Normal distribution

-If the distribution isn’t normal, there is lowr power

Question 7

What is bootstrapping?

Answer 7

• Sampling technique that SPSS runs analysis 1000 times randomly taking away and adding back a few scores and averaging the results
• Creates robust estimates and eliminates outliers
• Central Limit Theorem - We care more about means in small sample groups

Question 8

In assumptions tests, the Ho means

Answer 8

-What are the chance the sample is different than the population by chance alone… if small you reject the Null (ho)
You want the null to be true, tells you variance is due to chance