Relationship in Educational Statistics MCQs
Relationship in Educational Statistics MCQs
The following Relationship in Educational Statistics MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Relationship in Educational Statistics. We encourage you to answer these multiple-choice questions to assess your proficiency.
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1: What is the standard error?
A. The standard error is the standard deviation of sample means.
B. All of the options describe the standard error.
C. The standard error is a measure of how representative a sample parameter is likely to be of the population parameter.
D. The standard error is computed from known sample statistics, and it provides an unbiased estimate of the standard deviation of the statistic.
2: A scatterplot shows:
A. Scores on one variable plotted against scores on a second variable.
B. The frequency with which values appear in the data.
C. The average value of groups of data.
D. The proportion of data falling into different categories.
3: When interpreting a correlation coefficient, it is important to look at:
A. The +/– sign of the correlation coefficient.
B. The magnitude of the correlation coefficient.
C. The significance of the correlation coefficient.
D. All of these.
4: The correlation between two variables A and B is .12 with a significance of p < .01. What can we
A. Conclude?
B. That there is a substantial relationship between A and B.
C. That variable A causes variable B.
D. That there is a small relationship between A and B.
E. All of these.
5: The relationship between two variables partialling out the effect that a third variable has on one of those variables can be expressed using a:
A. Partial correlation
B. Semi-partial correlation
C. Bivariate correlation
D. Point-biserial correlation
6: In educational statistics, a correlation coefficient quantifies the:
A. Strength and direction of the relationship between two variables (Correct)
B. Difference between two groups in a sample
C. Mean difference between two independent variables
D. Variability within a single variable
7: A positive correlation coefficient indicates that:
A. There is no relationship between the two variables
B. The two variables move in opposite directions
C. The two variables move in the same direction (Correct)
D. The correlation is weak
8: What does a correlation coefficient value of +0.75 imply?
A. A moderate negative relationship between the variables
B. A strong positive relationship between the variables (Correct)
C. A weak positive relationship between the variables
D. No relationship between the variables
9: In educational statistics, the term "causation" refers to:
A. The process of conducting surveys and questionnaires
B. The establishment of cause-and-effect relationships between variables
C. The calculation of correlation coefficients
D. The distribution of data in a sample
10: Which of the following is true regarding causation and correlation?
A. Correlation implies causation (Correct)
B. Causation implies correlation
C. Correlation and causation are unrelated concepts
D. Causation is only applicable in experimental research
11: When a researcher observes that as the amount of study time increases, the test scores of students also increase, this indicates a:
A. Positive correlation (Correct)
B. Negative correlation
C. No correlation
D. Causation
12: The coefficient of determination (R-squared) represents:
A. The total variance explained by the independent variable
B. The standard deviation of the correlation coefficient
C. The proportion of variance in the dependent variable explained by the independent variable (Correct)
D. The slope of the regression line
13: What is the range of the correlation coefficient value?
A. -1 to 1 (Correct)
B. 0 to 1
C. -∞ to +∞
D. -1 to 0
14: If the correlation coefficient between variables X and Y is -0.85, it suggests:
A. A strong positive relationship between X and Y
B. A weak positive relationship between X and Y
C. A strong negative relationship between X and Y (Correct)
D. No relationship between X and Y
15: A researcher finds that there is a correlation of +0.40 between the number of hours spent studying and exam scores. What does this correlation coefficient indicate?
A. A weak positive relationship between study hours and exam scores
B. A strong negative relationship between study hours and exam scores
C. No relationship between study hours and exam scores
D. A moderate positive relationship between study hours and exam scores (Correct)
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Relationship in Educational Statistics MCQs
