The expected number of successes in a binomial experiment with n trials and probability of success p is ________.
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
Problem 6.RE.7a
Textbook Question
Driving AgeAccording to a Gallup poll, 60% of U.S. women 18 years old or older stated that the minimum driving age should be 18. In a random sample of 15 U.S. women 18 years old or older, find the probability that:
a. Exactly 10 believe that the minimum driving age should be 18.
Verified step by step guidance1
Identify the type of probability distribution to use. Since we are dealing with a fixed number of independent trials (15 women), each with two possible outcomes (believe or not believe the minimum driving age should be 18), this is a binomial distribution problem.
Define the parameters of the binomial distribution: the number of trials \(n = 15\), the probability of success on each trial \(p = 0.60\) (since 60% believe the minimum driving age should be 18), and the number of successes \(k = 10\) (exactly 10 women).
Write down the binomial probability formula to find the probability of exactly \(k\) successes in \(n\) trials:
\[P(X = k) = \binom{n}{k} p^{k} (1-p)^{n-k}\]
where \(\binom{n}{k}\) is the binomial coefficient representing the number of ways to choose \(k\) successes from \(n\) trials.
Calculate the binomial coefficient \(\binom{15}{10}\), which counts the number of ways to select 10 women who believe the minimum driving age should be 18 out of 15 women.
Substitute the values into the formula: compute \(p^{10}\), \((1-p)^{5}\), and multiply by the binomial coefficient to get the probability of exactly 10 women believing the minimum driving age should be 18.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Binomial Distribution
The binomial distribution models the number of successes in a fixed number of independent trials, each with the same probability of success. Here, each woman either believes the minimum driving age should be 18 (success) or not (failure), making this a binomial scenario with n = 15 and p = 0.60.
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Mean & Standard Deviation of Binomial Distribution
Probability Mass Function (PMF) of Binomial Distribution
The PMF gives the probability of exactly k successes in n trials and is calculated using combinations and the success probability. For this problem, it helps find the probability that exactly 10 out of 15 women support the driving age of 18.
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Calculating Probabilities in a Binomial Distribution
Combinations (n choose k)
Combinations count the number of ways to choose k successes from n trials without regard to order. This is essential in the binomial formula to determine how many different groups of 10 supporters can be formed from 15 women.
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Combinations
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