"The notation P(F|E) means the probability of event ________ given event ________.
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
Introduction to Contingency Tables
Problem 3.2.7a
Textbook Question
Finding Conditional Probabilities In Exercises 7 and 8, use the table to find each conditional probability.
7. Business Degrees The table shows the numbers of male and female students in the United States who received bachelor's degrees in business and nonbusiness fields in a recent year. (Source: National Center for Educational Statistics)
a. Find the probability that a randomly selected bachelor's degree-earning student is male, given that the degree is in business.

Verified step by step guidance1
Identify the conditional probability formula: P(A|B) = P(A ∩ B) / P(B). Here, we want the probability that a student is male (A), given that the degree is in business (B).
Determine the total number of students who earned business degrees (P(B)). From the table, this is the total in the 'Business degrees' column: 386,201.
Find the number of male students who earned business degrees (P(A ∩ B)). From the table, this is the value in the 'Male' row and 'Business degrees' column: 204,839.
Substitute the values into the conditional probability formula: P(Male | Business) = P(Male ∩ Business) / P(Business). This becomes P(Male | Business) = 204,839 / 386,201.
Simplify the fraction to find the conditional probability. This will give the probability that a randomly selected bachelor's degree-earning student is male, given that the degree is in business.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Conditional Probability
Conditional probability refers to the likelihood of an event occurring given that another event has already occurred. It is denoted as P(A|B), which reads as the probability of event A occurring given that event B has occurred. This concept is crucial for understanding how probabilities can change based on additional information.
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Joint Probability
Joint probability is the probability of two events occurring simultaneously. In the context of the question, it refers to the probability of a student being both male and earning a business degree. This concept is essential for calculating conditional probabilities, as it helps in determining the numerator in the conditional probability formula.
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Introduction to Probability
Total Probability
Total probability is the sum of the probabilities of all possible outcomes of a random variable. In this case, it involves understanding the total number of students earning degrees, which serves as the denominator when calculating conditional probabilities. This concept ensures that probabilities are contextualized within the entire population being studied.
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