Which of the following is a probabilistic system?
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
Basic Concepts of Probability
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Given the following probabilities: , , and , which of the following statements is true?
A
B
C
D
At least one of the given probabilities is not possible for valid events.
Verified step by step guidance1
Step 1: Understand the given probabilities and their meanings. We have \( p(a) = 0.3 \), \( p(b) = 0.2 \), and \( p(a \cap b) = 0.4 \). Here, \( p(a \cap b) \) represents the probability that both events \( a \) and \( b \) occur simultaneously.
Step 2: Recall the fundamental property of probabilities for intersections: the probability of the intersection of two events cannot be greater than the probability of either event individually. Mathematically, this means \( p(a \cap b) \leq p(a) \) and \( p(a \cap b) \leq p(b) \).
Step 3: Compare the given intersection probability \( p(a \cap b) = 0.4 \) with the individual probabilities \( p(a) = 0.3 \) and \( p(b) = 0.2 \). Since \( 0.4 > 0.3 \) and \( 0.4 > 0.2 \), this violates the property mentioned in Step 2.
Step 4: Because the intersection probability is greater than the individual probabilities, at least one of the given probabilities must be incorrect or impossible for valid events. This means the data provided is inconsistent with the axioms of probability.
Step 5: To further verify, you could check the union probability using the formula \( p(a \cup b) = p(a) + p(b) - p(a \cap b) \) and ensure it lies between 0 and 1. However, since the intersection is already invalid, the problem is identified at this step.
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