MCQ Bank
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
Which SPSS option provides descriptive statistics and homogeneity of variance test?
- A) Post Hoc menu
- B) Options button
- C) Graphs menu
- D) Transform menu
In one sample t-test usually one standard value is given and researcher compares the ____________ with that standard value.
- A) Sample mean
- B) Population size
- C) Most repeated value
- D) Independent sample
In the independent sample t-test, the dependent variable is always:
- A) Categorical variable
- B) Discrete variable
- C) Separate variable
- D) Continuous variable
Which assumption ensures that measurements from one participant are not influenced by another?
- A) Independence of observations
- B) Normality
- C) Random sampling
- D) Equal variances
When running a two-factor design in ANOVA, the study is called:
- A) Factorial design
- B) Quasi-experiment
- C) Independent samples t-test
- D) One-way ANOVA