MCQ on Measure of Central Tendency

MCQ on Measure of Central Tendency

Measures of central tendency are statistical measures that indicate where the center of a distribution or a data set lies. The three main measures of central tendency are:

Mean: The mean is the average of a set of numbers. To find the mean, you add up all the values in the data set and divide by the total number of values.

Median: The median is the middle value in a data set when it’s arranged in ascending or descending order. If there’s an even number of values, the median is the average of the two middle values.

Mode: The mode is the value that appears most frequently in a data set. A data set may have one mode, more than one mode (multimodal), or no mode if no value is repeated.

MCQ on Measure of Central Tendency by MCQBOX

Welcome to your MCQ of Measure of Central Tendency

1. What is the measure of central tendency that is most affected by outliers?

2. Which of the following is not a measure of central tendency?

3. In a positively skewed distribution, how does the mean compare to the median?

4. In a perfectly symmetrical distribution, the relationship between mean, median, and mode is:

5. Which measure of central tendency is most appropriate for nominal data?

6. For a dataset with outliers, which measure of central tendency is the most reliable representation?

7. If a dataset has two modes, it is called:

8. The measure of central tendency that is the middle value when all values are arranged in ascending order is the:

9. In a perfectly normal distribution, what is the relationship between mean, median, and mode?

10. Which measure of central tendency is affected the least by extreme values?

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