For a binomial distribution with probability of success and number of trials , what is the expected value of the distribution?
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
In a binomial experiment with trials and probability of success , what is the probability of obtaining exactly successes?
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Verified step by step guidance1
Identify the parameters of the binomial experiment: number of trials \(n = 4\) and probability of success in each trial \(p = 0.4\).
Recall the binomial probability formula for exactly \(k\) successes in \(n\) trials:
\[P(X = k) = \binom{n}{k} p^{k} (1 - p)^{n - k}\]
Substitute the given values into the formula with \(k = 3\):
\[P(X = 3) = \binom{4}{3} (0.4)^{3} (1 - 0.4)^{4 - 3}\]
Calculate the binomial coefficient \(\binom{4}{3}\), which represents the number of ways to choose 3 successes out of 4 trials.
Evaluate the powers of \(p\) and \$1-p$, then multiply all parts together to find the probability of exactly 3 successes.
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