Which of the following is a binomial experiment?
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: Mean2h 8m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample2h 23m
- 10. Hypothesis Testing for Two Samples3h 25m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
5. Binomial Distribution & Discrete Random Variables
Binomial Distribution
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A gardener plants 8 seeds, and each has a 65% probability of germinating successfully. Find the probability that less than 4 seeds germinate successfully.
A
0.0266
B
0.0252
C
0.1062
D
0.0084

1
Identify the type of probability distribution involved. Since each seed has a fixed probability of germinating, and the outcome is either germination or not, this is a binomial distribution problem.
Define the parameters of the binomial distribution: n = 8 (number of trials, i.e., seeds), p = 0.65 (probability of success, i.e., germination).
To find the probability that less than 4 seeds germinate, calculate the cumulative probability for 0, 1, 2, and 3 seeds germinating. This involves summing the probabilities of these individual events.
Use the binomial probability formula for each case: P(X = k) = C(n, k) * p^k * (1-p)^(n-k), where C(n, k) is the binomial coefficient, n is the number of trials, k is the number of successes, p is the probability of success, and (1-p) is the probability of failure.
Calculate the cumulative probability: P(X < 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3). Sum these probabilities to find the total probability that less than 4 seeds germinate.
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