Suppose that you roll a die 100 times and get six 80 times. Based on these results, what is the estimated probability that the next roll results in six?
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
4. Probability
Multiplication Rule: Independent Events
Problem 5.3.9
Textbook Question
Suppose that events E and F are independent, P(E) = 0.3 and P(F) = 0.6. What is the P(E and F)?
Verified step by step guidance1
Recall the definition of independent events: two events E and F are independent if the occurrence of one does not affect the probability of the other.
For independent events, the probability of both events occurring together (E and F) is the product of their individual probabilities.
Write the formula for the probability of both events happening: \(P(E \text{ and } F) = P(E) \times P(F)\).
Substitute the given probabilities into the formula: \(P(E \text{ and } F) = 0.3 \times 0.6\).
Multiply the values to find \(P(E \text{ and } F)\), which gives the probability of both events occurring simultaneously.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Independent Events
Two events are independent if the occurrence of one does not affect the probability of the other. This means that knowing one event happened does not change the likelihood of the other event occurring.
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Probability of an Event
The probability of an event is a measure between 0 and 1 that quantifies the likelihood of that event occurring. For example, P(E) = 0.3 means event E has a 30% chance of happening.
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Multiplication Rule for Independent Events
If two events are independent, the probability that both occur (E and F) is the product of their individual probabilities: P(E and F) = P(E) × P(F). This rule simplifies calculating joint probabilities for independent events.
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