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
5. Binomial Distribution & Discrete Random Variables
Discrete Random Variables
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is NOT a discrete random variable?
A
The number of customers who visit a coffee shop each day.
B
The number of defective products in a shipment of 500 items.
C
The number of employees in a company's human resources department.
D
The annual revenue of a technology startup (in dollars).

1
Understand the definition of a discrete random variable: A discrete random variable is one that can take on a countable number of distinct values. These values are often integers and can be listed out.
Examine each option to determine if it can be considered a discrete random variable. For example, the number of customers visiting a coffee shop each day can be counted and listed as distinct integer values.
Consider the number of defective products in a shipment. This is also countable and can be represented as distinct integer values, making it a discrete random variable.
Evaluate the number of employees in a company's human resources department. This is a countable number and can be represented as distinct integer values, qualifying it as a discrete random variable.
Analyze the annual revenue of a technology startup. Revenue is typically measured in continuous terms (dollars and cents) and can take on any value within a range, making it a continuous random variable rather than a discrete one.
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