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