Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 17m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample1h 8m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
2. Describing Data with Tables and Graphs
Frequency Distributions
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
The following data set shows the number of overtime hours that 12 employees worked in a month. Construct a frequency distribution, using a lower class limit of 3 and a class width of 4.

A
B
C
D

1
Identify the range of the data set by finding the minimum and maximum values. In this case, the minimum is 3 and the maximum is 15.
Determine the number of classes needed. This can be done by dividing the range by the class width and rounding up if necessary. Here, the range is 15 - 3 = 12, and with a class width of 4, we need 3 classes.
Construct the class intervals starting from the lower class limit of 3. The first class will be 3 to 6, the second class will be 7 to 10, and the third class will be 11 to 14. Add one more class if needed to cover the maximum value, which will be 15 to 18.
Count the number of data points that fall into each class interval to determine the frequency. For example, count how many data points are between 3 and 6, then between 7 and 10, and so on.
Create the frequency distribution table by listing each class interval alongside its corresponding frequency. This will help in visualizing the distribution of overtime hours worked.
Watch next
Master Intro to Frequency Distributions with a bite sized video explanation from Patrick
Start learning