Which assumptions are required for two-way ANOVA?

• A) Independence of observations, normality, and homogeneity of variances
• B) Equal sample sizes and ordinal DV
• C) Skewed data and dependent samples
• D) Linear relationship and categorical DV

Independent Sample t-test is a:

• A) Distribution test
• B) Non-parametric test
• C) Parametric test
• D) Qualitative test

In research, Ho is used to state____________ statistically.

• A) All hypothesis
• B) No hypothesis
• C) Null hypothesis
• D) Alternate hypothesis

When Levene’s test has Sig. > .05, which t-test result should be used?

• A) Normality plots
• B) Equal variances assumed
• C) Equal variances not assumed
• D) Kolmogorov-Smirnov output

What does the independent sample t-test ultimately test in statistical terms?

• A) Whether variables are correlated
• B) Whether groups came from the same population
• C) Whether groups differ in frequency
• D) Whether regression assumptions are met

The first step in ANOVA is to determine:

• A) t-value
• B) F-ratio
• C) Degrees of freedom
• D) Total variability for the entire set of data

Independent Sample t-test is a parametric test because it requires ____________about parameters.

• A) Results
• B) Objectives
• C) Assumptions
• D) Samples

The overall t formula (μ₁−μ₂) calculates the:

• A) Standard mean difference
• B) Overall result difference
• C) Sample mean difference
• D) Population mean difference

Increasing the number of scores can ___________the chances of finding a significant treatment effect.

• A) Deviate
• B) Decrease
• C) Not change
• D) Increase

In research $H_1$is used to state____________ statistically.

• A) No hypothesis
• B) Alternate hypothesis
• C) All hypothesis
• D) Null hypothesis

While running Independent Sample T-Test in SPSS, if the data is large then it is preferred:

• A) To give each person a unique ID
• B) To give each person two IDs
• C) Not to give each person a unique ID
• D) To give each person the same ID

If the sample size is________, there are more chances that important relationships or differences can go undetected.

• A) Tentative
• B) Extra large
• C) Too large
• D) Too small

The combined influence of two factors on the dependent variable is called:

• A) Error effect
• B) Interaction effect
• C) Treatment variance
• D) Main effect

The assumption of the independent sample t-test is that the dependent variable is measured at the:

• A) Only interval level
• B) Any of the interval or ratio level
• C) Only ratio level
• D) Only continuous level

What is substituted for σ when population variance is unknown?

• A) Power
• B) Critical value
• C) Sample variance
• D) Effect size

What does a reasonably straight line in a Q-Q plot suggest?

• A) Data entry errors
• B) Equal variances
• C) Independence of variables
• D) Normal distribution

In t-statistics, if the two sets of data come from two completely separate groups of participants. This is called an (a):

• A) Dependent measures research design
• B) Independent research results
• C) Independent measures research design
• D) Dependent flexible research design

Which SPSS option provides histograms and Q-Q plots to assess normality?

• A) Independent-Samples T Test
• B) Explore
• C) Compare Means
• D) Frequencies

In SPSS, why must we “Define Groups” after selecting the grouping variable?

• A) To specify which two groups to compare
• B) To compute mean difference
• C) To create dummy variables
• D) To code missing values

If power is too low in G*Power test, what is likely to happen?

• A) Type I error
• B) Failure to detect a real effect
• C) Smaller variability
• D) More significant results