38. Getting to Work According to a survey, the probability that a randomly selected worker primarily rides a bicycle to work is 0.792. The probability that a randomly selected worker primarily takes public transportation to work is 0.071. (c) What is the probability that a randomly selected worker does not ride a bicycle to work?
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
Complements
Problem 5.3.19c
Textbook Question
Derivatives
In finance, a derivative is a financial asset whose value is determined (derived) from a bundle of various assets, such as mortgages. Suppose a randomly selected mortgage has a probability of 0.01 of default.
c. What is the probability the derivative becomes worthless? That is, at least one of the mortgages defaults?
Verified step by step guidance1
Identify the event of interest: the derivative becomes worthless if at least one mortgage in the bundle defaults.
Understand that the probability of at least one default is the complement of the event that no mortgages default.
Let the probability of a single mortgage defaulting be \(p = 0.01\). Then, the probability that a single mortgage does not default is \$1 - p = 0.99$.
Assuming the mortgages are independent, the probability that none of the mortgages default is the product of the probabilities that each individual mortgage does not default. If there are \(n\) mortgages, this is \((1 - p)^n\).
Therefore, the probability that at least one mortgage defaults (making the derivative worthless) is \$1 - (1 - p)^n$.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Probability of an Event
Probability measures the likelihood of an event occurring, expressed as a number between 0 and 1. For example, a 0.01 probability means there is a 1% chance the event (mortgage default) happens. Understanding this helps in calculating combined probabilities for multiple events.
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Probability of Multiple Independent Events
Complement Rule in Probability
The complement rule states that the probability of an event occurring is 1 minus the probability that it does not occur. For instance, the probability that no mortgages default is 1 minus the probability that at least one defaults. This rule simplifies calculating 'at least one' type probabilities.
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Conditional Probability Rule
Independence of Events
Events are independent if the occurrence of one does not affect the probability of another. Assuming mortgage defaults are independent allows us to multiply individual probabilities to find the chance that none default, which is key to solving the problem about the derivative's value.
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Probability of Multiple Independent Events
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