What is the importance of measures of variability? Discuss variance and standard deviation and show the relationship between the two measures and the importance of each for the researcher.
What will be an ideal response?
Ans: Variance and standard deviation are commonly used and closely related measures of variability. The standard deviation is the square root of the variance. The variance and the standard deviation represent each data point’s average deviation from the mean. Variance is the average sum of squared distance of every single point in the dataset from the mean. The standard deviation is the square root of the variance, also representing the average distance of every point from the mean. The standard deviation is widely used in research to tell us the average distance of the scores from the mean.
Cognitive Domain: Application
You might also like to view...
According to the Bureau of Labor Statistics in the United States, what percentage of men’s wages do women earn on average?
a. 98% b. 81% c. 42% d. 100%
The most popular form of religion in the U.S. is Roman Catholic Christianity
Indicate whether the statement is true or false
Active, voluntary euthanasia is legal in
a. the United States. b. the United Kingdom. c. the Netherlands. d. Belgium. e. both c and d.
Today, many people in the United States think of the traditional roles of women and men as somewhat outdated. This opinion change reflects that __________
a. the double standard has lessened b. the double standard has increased c. the double standard for men has increased, but has lessened for women d. the double standard for men has lessened, but has increased for women