Consider a binomial experiment with and . What is the probability that exactly 2 successes occur, that is, compute (to 4 decimals)?
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
A basketball player normally has a 70% chance of making a free throw. The player shoots until finally making a basket, where is the number of shots they take. Is this a binomial experiment?
A
Yes
B
No, there are not 2 outcomes
C
No, there are not a fixed # of trials
D
No, the trials are not independent
E
No, the probability of success is not the same for each trial
Verified step by step guidance1
Understand the definition of a binomial experiment: A binomial experiment consists of a fixed number of trials, each trial is independent, there are only two possible outcomes (success or failure), and the probability of success is the same for each trial.
Identify the characteristics of the given scenario: The player shoots until making a basket, which means the number of trials is not fixed. This violates one of the key conditions of a binomial experiment.
Consider the independence of trials: In a binomial experiment, each trial must be independent. In this scenario, the trials are independent because the outcome of one shot does not affect the outcome of another.
Evaluate the number of outcomes: There are two possible outcomes for each shot - either the player makes the basket (success) or misses (failure). This condition is satisfied.
Assess the probability of success: The probability of making a basket is 70% for each shot, which remains constant. This condition is satisfied. However, due to the lack of a fixed number of trials, this scenario is not a binomial experiment.
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