43 Questions
| Total Attempts: 150

This is a quiz concerning Data analysis in experimental psychology. So, let's try out this quiz.

Questions and Answers

- 1.Failing to reject the null hypothesis states that you have ____ population(s)?
- A.
2

- B.
1

- C.
0

- D.
4

- 2.What do you need in order to determine whether or not the groups differed by chance?
- A.
Standard deviation

- B.
Index of variability

- C.
Mean score

- D.
Between score

- 3.What does central tendency refer to?
- A.
Mean median and mode

- 4.What can skew the mean?
- A.
Outliers

- 5.What are three ways to calculate variability?
- A.
Range, variance and standard deviation

- 6.What is the alpha level of the error rate?
- A.
.05

- 7.What are two ways to eliminate chance occurance
- A.
Repetition and statistics

- 8.Statistical test selected is based on______?
- A.
Design

- B.
Variability

- C.
Likelihood of chance

- D.
Standard deviation

- 9.List the 4 characteristics we need to know about a design
- A.
How many IV's, how many levels, scale of measurement, and between or within subjects

- 10.What are the three scale of measurements?
- A.
Nominal, ordinal and interval ratio

- 11.What does a ordinal measurement measure?
- A.
Continuous variables

- B.
Discrete variables

- C.
Categorical information

- D.
Ranking numbers

- 12.What type of statistical test is used with a between participants design with one IV and two levels?
- A.
Independent samples t-test

- 13.A t-test gives us ______ that is the ratio of the between group mean difference to the average within group variability.
- A.
T- value

- 14.What aspect of the t-test gives you the t-value?
- A.
Standard deviation

- 15.If the t-value obtained is greater than the t-value critical then you can...
- A.
Reject the null

- 16.What kind of statistical test do you have when your IV is a with-in subject variable
- A.
Dependent samples t-test

- 17.What statistical test do you use when there are more than 2 levels, in a between group and 1 DV
- A.
One way ANOVA

- 18.Overall variation in the scores calculated from the scores of all of the participants is known as
- A.
Total variance

- 19.What is the formula for total variance
- A.
Between group variance divided by within group variance

- 20.What is a variance estimate?
- A.
Mean square

- 21.How do you convert the between and within groups variation into mean squares?
- A.
By dividing them by their degrees of freedom

- 22.What does ANOVA stand for?
- A.
Analysis of Variance

- 23.What does mean square measure
- A.
The average amount of variable

- 24.How do you determine the degrees of freedom in an ANOVA test?
- A.
Levels minus 1

- 25.How do you determine the degrees of freedom in a t-test
- A.
Sample size minus 1

- 26.How do you determine the degrees of freedom in a within subject design
- A.
Participants minus levels

- 27.What is the formula for mean square between?
- A.
Between groups variation divided by degrees of freedom.

- 28.What is the formula for the f-ratio in a one-way between group ANOVA?
- A.
Ms between divided by ms within

- 29.What does the f-ratio equal if there is no treatment effect
- A.
1

- 30.What does stastical conclusion refer to?
- A.
Wether or not you reject the null?

- 31.What is the formula for the F ratio in an ANOVA within group subjects design?
- A.
The between conditions divided by error rate

- 32.How many IV's are in a two-way ANOVA?
- A.
2

- 33.What type of design does a two way ANOVA collect data from?
- A.
Factorial

- 34.What does factorial mean?
- A.
The variables are between

- 35.The effect of one level of the IV is dependent on another level of another IV is called
- A.
Interaction variation

- 36.Total variation in a two-way ANOVA is broken into what 3 areas
- A.
Between variation for each IV, Interaction Variation, & measure of chance.

- 37.How do you determine what kind of number a factorial design is?
- A.
The level of one IV multiplied by the level of another IV

- 38.Multiplying the degrees of freedom of one variable by the degrees of freedom of another freedom is called
- A.
The interaction of degrees of freedom

- 39.What are the three types of ANOVAs?
- A.
Between, within and factorial

- 40.What is a type I error?
- A.
Falsely reject the Null

- 41.Which error type is the worse?
- A.
Type I

- 42.What is the power affected by
- A.
Alpha level, sample size and treatment effect.

- 43.What does effect size say?
- A.
How much can one variable explain the difference