Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
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
A company tracks the number of complaints they receive, where the random variable X is the number of complaints received daily. Find the variance & standard deviation of this distribution.

A
Variance = 0.83; Standard Deviation = 0.9
B
Variance = 0.9; Standard Deviation = 0.83
C
Variance = 0.83; Standard Deviation = 0.85
D
Variance = 0.85; Standard Deviation = 0.9

1
Calculate the expected value (mean) of the distribution using the formula: E(X) = Σ [x * P(x)], where x is the number of complaints and P(x) is the probability of x.
Substitute the values from the table into the formula: E(X) = (0 * 0.45) + (1 * 0.30) + (2 * 0.20) + (3 * 0.05).
Calculate the variance using the formula: Var(X) = Σ [(x - E(X))^2 * P(x)].
Substitute the expected value and the values from the table into the variance formula: Var(X) = [(0 - E(X))^2 * 0.45] + [(1 - E(X))^2 * 0.30] + [(2 - E(X))^2 * 0.20] + [(3 - E(X))^2 * 0.05].
Calculate the standard deviation by taking the square root of the variance: SD(X) = √Var(X).
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