New Statistics MCQs
New Statistics MCQs
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1: When setting up a confidence interval, this is usually arbitrarily set at 95% or 90% is known as:
A. Cohen’s d
B. Forest Plot
C. Level of confidence
D. None of these
2: A unit-free effect size that is not related to N, sample size. It describes a difference between means in numbers of standard deviations is called _________ .
A. Forest Plot
B. Level of confidence
C. Cohen’s d
D. None of these
3: A plot that summarizes results of meta-analysis by showing a confidence interval for the effect size of each individual study is known as:
A. Forest Plot
B. Level of confidence
C. Cohen’s d
D. None of these
4: A study is underpowered if the sample size is too small (relative to the effect size) to have a reasonable chance of rejecting H0 when H0 is false is called __________ .
A. Confirmation Bias in Publication
B. Underpowered
C. Level of confidence
D. None of these
5: The tendency for studies with results that are not statistically significant to remain unpublished is called _________ .
A. Confirmation Bias in Publication
B. Underpowered
C. Level of confidence
D. None of these
6: What is the purpose of a t-test in statistics?
A. To determine the variability of a dataset
B. To compare the means of two groups (Correct)
C. To analyze the relationship between two continuous variables
D. To assess the normality of data distribution
7: When conducting hypothesis testing, the p-value represents:
A. The probability of making a Type II error
B. The level of significance used to reject the null hypothesis (Correct)
C. The effect size of the independent variable
D. The standard deviation of the sample
8: What does the coefficient of determination (R-squared) measure in linear regression?
A. The percentage of variance in the dependent variable explained by the independent variable (Correct)
B. The correlation between two continuous variables
C. The standard error of the estimate
D. The slope of the regression line
9: In inferential statistics, what is the purpose of a confidence interval?
A. To determine the population mean with 100% certainty
B. To estimate the range within which the population parameter is likely to fall (Correct)
C. To establish causation between variables
D. To test the statistical significance of a result
10: Which statistical test is used to analyze the association between two categorical variables?
A. Pearson correlation
B. Chi-square test (Correct)
C. Analysis of variance (ANOVA)
D. T-test
11: What does a negative correlation coefficient value indicate?
A. A strong positive relationship between variables
B. A weak positive relationship between variables
C. A strong negative relationship between variables (Correct)
D. No relationship between variables
12: Which of the following is a non-parametric statistical test?
A. Analysis of variance (ANOVA)
B. Student's t-test
C. Wilcoxon rank-sum test (Correct)
D. Paired t-test
13: What is the purpose of conducting a power analysis in experimental research?
A. To estimate the sample size needed to detect a significant effect (Correct)
B. To determine the effect size of the independent variable
C. To assess the normality of data distribution
D. To calculate the correlation coefficient
14: When should you use a one-tailed test in hypothesis testing?
A. When the researcher has no specific direction for the effect
B. When the sample size is large
C. When the researcher expects the effect to be in a specific direction (Correct)
D. When the data are normally distributed
15: A researcher conducts a study with three groups and uses ANOVA to analyze the data. If the p-value is less than the significance level (e.g., α = 0.05), what does it suggest?
A. There is no significant difference between groups
B. At least one group mean is significantly different from the others (Correct)
C. The data are not normally distributed
D. The effect size of the independent variable is small
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