One-sample t-tests
Independent Sample t-tests
Related Sample t-tests
Statistical Analysis
Things you SHOULD know
50

The formula to solve for sample variance.

What is: 

SS
n-1

50

The number of groups we are allowed to compare in an independent measures t-test.

2

50

The value of df if we have 24 people in the entire experiment

23

50

The type of statistic analysis/test we ran using the data on happiness that we gathered in class.

One sample t-test

50

What is the date of Exam #3?

November 9th

100

Name one problem with z-scores that make t-tests useful.

-

•The z-score requires more information than researchers typically have available

•Requires knowledge of the population standard deviation σ

•Researchers usually have only the sample data available

100

You have to calculate this when your n's are not the same size to ensure there is an unbiased statistic.

Pooled variance

100

If independent measures t-test is to related samples t-test


then between subjects design is to ____________?

repeated measures design OR within-subject design

100

What was the independent variable during our the activity we did for independent measures t-test?

Brand

100

When are my office hours?

Tuesday and thursday 2:45pm-4pm

Wednesday 9:30am-12pm

200

Name two things that describe the shape of a t distribution.

•Flatter than the normal distribution

•More spread out than the normal distribution

•More variability (“fatter tails”) in tdistribution

200

The 3 assumptions of an independent measures t-test.

-independent observations

-normality

-equal variances

200

Name two advantages of repeated measure designs.

•Requires fewer subjects

•Able to study changes over time

•Reduces or eliminates influence of individual differences

•Substantially less variability in scores

200

The type of test/statistical analysis that a coach would use if he was curious to see  how quick his team can run a mile before and after lunch

related sample t-test

200

Name 4 things you have to bring to your exam.

-cheat sheet

-calculator

-t-distribution table / Appendix B

-writing instrument

350

The measure of effect size that looks at the percentage of variability accounted for by the treatment effect.

r2

350

If our confidence interval contains zero, what does this suggest?

non-significant results; fail to reject the null hypothesis

350

One solution to controlling time-related effects or order effects.

Counterbalancing 
350

The name of the statistical software we use in this class that you had to download

SPSS

350

What is due tomorrow?

3 lab assignments, 2 homework assignments 

500

The results of a hypothesis test are reported as follows: t(21) = 2.38, p < .05.  What was the statistical decision and how big was the sample?

reject the null; n=22

500

The formula for a independent sample t-test

the difference between the observed sample means, minus the difference between the population means, divided by estimated standard error

500

Name two disadvantages of a repeated measures design.

Order effects; other factors may influence the results between measurements

500

All hypothesis tests should also be supplemented with this.

measure of effect size

500

What are the 4 steps of hypothesis testing?

1. state hypothesis

2. set criteria (alpha, directionality, critical value)

3. collect and analyze data

4. make a decision

M
e
n
u