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Togus Bash
STATISTICS
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Inferential Statistics
What is the main purpose of post-hoc tests in ANOVA?
A. To compare means of two groups.
B. To determine the overall significance.
C. To identify which specific groups differ.
D. To calculate effect size.
Togus Bash
STATISTICS
-
Inferential Statistics
In regression analysis, what does R? represent?
A. The slope of the regression line.
B. The correlation coefficient.
C. The proportion of variance explained.
D. The intercept of the regression line.
Togus Bash
STATISTICS
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Inferential Statistics
What type of data is required for ANOVA?
A. Categorical data only.
B. Continuous data only.
C. Both categorical and continuous data.
D. Ordinal data only.
Togus Bash
STATISTICS
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Inferential Statistics
Which of the following is true about a 95% confidence interval?
A. It guarantees that the population parameter is within the interval.
B. It means 95% of the data falls within the interval.
C. It means that 95% of the time the interval will contain the parameter.
D. It means that if we repeat the study, 95% of intervals will contain the parameter.
Togus Bash
STATISTICS
-
Inferential Statistics
What is the null hypothesis in a t-test for means?
A. There is a difference between means.
B. There is no difference between means.
C. Means are equal.
D. Means are not equal.
Togus Bash
STATISTICS
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Inferential Statistics
In hypothesis testing, what does a (alpha) represent?
A. Sample size.
B. Significance level.
C. Population mean.
D. Type I error rate.
Togus Bash
STATISTICS
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Inferential Statistics
What is the main assumption of linear regression analysis?
A. Normality of residuals.
B. Homogeneity of variances.
C. Independence of observations.
D. All of the above.
Togus Bash
STATISTICS
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Inferential Statistics
Which of the following is a non-parametric test?
A. t-test.
B. ANOVA.
C. Mann-Whitney U test.
D. Z-test.
Togus Bash
STATISTICS
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Inferential Statistics
What does the term "power" refer to in hypothesis testing?
A. Probability of rejecting a false null hypothesis.
B. Probability of accepting a true null hypothesis.
C. Probability of making a Type I error.
D. Probability of making a Type II error.
Togus Bash
STATISTICS
-
Inferential Statistics
In which scenario would you use a chi-square test?
A. Comparing means of two groups.
B. Analyzing categorical data.
C. Testing correlation between two variables.
D. Estimating population parameters.
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