# Data Analysis In Psychology

43 Questions | Total Attempts: 150  Settings  This is a quiz concerning Data analysis in experimental psychology. So, let's try out this quiz.

Related Topics
• 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