Summarizing Educational data MCQs
Summarizing Educational data MCQs
These Summarizing Educational data multiple-choice questions and their answers will help you strengthen your grip on the subject of Summarizing Educational data. You can prepare for an upcoming exam or job interview with these Summarizing Educational data MCQs.
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1: A frequency distribution in which there are too many scores at the extremes of the distribution said to be:
A. Positively skewed
B. Leptokurtic
C. Platykurtic
D. Negatively skewed
2: A frequency distribution in which there are too few scores at the extremes of the distribution said to be:
A. Leptokurtic
B. Positively skewed
C. Negatively skewed
D. Platykurtic
3: Which of the following is designed to compensate for practice effects?
A. A repeated measured design
B. Counterbalancing
C. Giving participants a break between tasks
D. A control condition
4: Variation due to variables that have not been measured is known as:
A. Homogenous variance
B. Systematic variation
C. Residual variance
D. Unsystematic variation
5: In IBM SPSS, what does clicking on this icon do?
A. Split the file by a coding variable.
B. Display or hide the value labels of coding variables.
C. Take you to a particular case.
D. Tell you which data analysis to perform on your data.
6: What is the primary purpose of summarizing educational data?
A. To make the data look visually appealing
B. To simplify complex data and provide an overview of key patterns and trends
C. To manipulate data to support predetermined conclusions
D. To hide important information from the audience
7: Which of the following is an example of qualitative data in educational research?
A. Test scores
B. Age of students
C. Number of participants
D. Responses to open-ended survey questions
8: How is central tendency used to summarize educational data?
A. By displaying data in bar charts
B. By identifying the most common response or value in a dataset
C. By calculating the standard deviation of the data
D. By organizing data into frequency distributions
9: What does the term "mean" represent in educational data summarization?
A. The middle value in a dataset
B. The most frequently occurring value in a dataset
C. The average value of all data points in a dataset
D. The highest value in a dataset
10: Which measure of central tendency is most appropriate for skewed data?
A. Median
B. Mean
C. Mode
D. Range
11: How does data visualization enhance the understanding of educational data?
A. Data visualization has no impact on data understanding
B. Data visualization allows for manipulation of data
C. Data visualization presents data in graphical formats that are easier to interpret
D. Data visualization is solely used for data storage
12: Which type of chart is suitable for comparing frequencies of categorical data in educational research?
A. Histogram
B. Bar chart
C. Scatter plot
D. Pie chart
13: What is the purpose of creating frequency distributions in educational research?
A. To hide important data points from the audience
B. To identify outliers in the data
C. To group data into intervals and display the number of occurrences in each interval
D. To manipulate data to fit predetermined conclusions
14: How is the "range" calculated for educational data?
A. By subtracting the smallest value from the largest value in the dataset
B. By adding all data points in the dataset
C. By finding the value that occurs most frequently in the dataset
D. By dividing the sum of all data points by the number of data points
15: When should standard deviation be used to summarize educational data?
A. Standard deviation is only used for qualitative data
B. Standard deviation is used to summarize categorical data
C. Standard deviation is used to measure the spread or dispersion of data around the mean
D. Standard deviation is used to represent the average of data points
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Summarizing Educational data MCQs
