In a binomial experiment with trials and probability of success , what is the expected value (mean) of the number of successes ?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
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
National surveys indicate that 36% of people have been in a car accident in the last 5 years. If you randomly sample 10 people, how likely is that exactly 4 have had an accident in the last 5 years?
A
0.0767
B
0.242
C
0.00527
D
0.00129
Verified step by step guidance1
Identify the type of probability distribution involved. Since we are dealing with a fixed number of trials (10 people) and each trial has two possible outcomes (accident or no accident), this is a binomial distribution problem.
Define the parameters of the binomial distribution: n = 10 (number of trials), p = 0.36 (probability of success, i.e., having an accident), and k = 4 (number of successes we are interested in).
Use the binomial probability formula to calculate the probability of exactly k successes: P(X = k) = C(n, k) * p^k * (1-p)^(n-k), where C(n, k) is the binomial coefficient, calculated as n! / (k! * (n-k)!).
Calculate the binomial coefficient C(10, 4) using the formula: C(10, 4) = 10! / (4! * (10-4)!).
Substitute the values into the binomial probability formula: P(X = 4) = C(10, 4) * (0.36)^4 * (0.64)^6, and simplify the expression to find the probability.
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