In a binomial distribution, how does increasing the value of (the number of trials) affect the shape of the binomial probability histogram?
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
Suppose a binomial probability experiment is conducted with trials and probability of success . What is the probability of exactly successes?
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Verified step by step guidance1
Identify the parameters of the binomial experiment: number of trials \(n = 10\) and probability of success in each trial \(p = 0.3\).
Recognize that the problem asks for the probability of exactly 4 successes, so \(x = 4\).
Recall the binomial probability formula:
\[P(X = x) = \binom{n}{x} p^{x} (1-p)^{n-x}\]
where \(\binom{n}{x}\) is the binomial coefficient representing the number of ways to choose \(x\) successes out of \(n\) trials.
Calculate the binomial coefficient \(\binom{10}{4}\), which counts the number of ways to get exactly 4 successes in 10 trials.
Substitute the values into the formula:
\[P(X=4) = \binom{10}{4} (0.3)^{4} (0.7)^{6}\]
This expression gives the probability of exactly 4 successes.
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