36. Visits to the Doctor A National Ambulatory Medical Care Survey administered by the Centers for Disease Control found that the probability a randomly selected patient visited the doctor for a blood pressure check is 0.593. The probability a randomly selected patient visited the doctor for urinalysis is 0.064. Can we compute the probability of randomly selecting a patient who visited the doctor for a blood pressure check or urinalysis by adding these probabilities? Why or why not?
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: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 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. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
4. Probability
Addition Rule
Problem 5.3.3
Textbook Question
The word "or" in probability implies that we use the ______ Rule.
Verified step by step guidance1
Understand that in probability, the word "or" typically refers to the event that either one event or another event (or both) occurs.
Recall that the rule used to find the probability of "A or B" is called the Addition Rule.
The Addition Rule states that the probability of the union of two events A and B is given by the formula: \(P(A \text{ or } B) = P(A \cup B) = P(A) + P(B) - P(A \cap B)\).
This formula accounts for the fact that if events A and B are not mutually exclusive, the overlap (intersection) is subtracted to avoid double counting.
Therefore, whenever you see "or" in a probability problem, you apply the Addition Rule to calculate the combined probability.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Addition Rule in Probability
The Addition Rule is used to find the probability that either one event or another event occurs. It states that P(A or B) = P(A) + P(B) - P(A and B), accounting for any overlap between events to avoid double counting.
Recommended video:
Probability of Non-Mutually Exclusive Events
Mutually Exclusive Events
Mutually exclusive events cannot happen at the same time, meaning their intersection is zero. For such events, the Addition Rule simplifies to P(A or B) = P(A) + P(B) because there is no overlap.
Recommended video:
Probability of Mutually Exclusive Events
Probability of Events
Probability measures the likelihood of an event occurring, ranging from 0 (impossible) to 1 (certain). Understanding how to calculate and interpret probabilities is essential for applying rules like the Addition Rule correctly.
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Probability of Multiple Independent Events
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