Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
4. Probability
Basic Concepts of Probability
Problem 3.1.2c
Textbook Question
2. Determine whether each number could represent the probability of an event. Explain your reasoning. c. 2.3

1
Step 1: Recall the definition of probability. Probability is a measure of the likelihood of an event occurring, and it is always expressed as a number between 0 and 1, inclusive. This means 0 ≤ P(E) ≤ 1, where P(E) is the probability of an event E.
Step 2: Examine the given number, 2.3. Compare it to the range of valid probabilities (0 to 1).
Step 3: Determine whether 2.3 falls within the valid range for probabilities. Since 2.3 is greater than 1, it does not satisfy the condition 0 ≤ P(E) ≤ 1.
Step 4: Conclude that 2.3 cannot represent the probability of an event because probabilities cannot exceed 1.
Step 5: Provide reasoning: Probabilities are bounded by 0 and 1 because they represent proportions or likelihoods, and it is not possible for an event to have a likelihood greater than 100%.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Probability Range
Probability is a measure of the likelihood of an event occurring, and it is always expressed as a number between 0 and 1. A probability of 0 indicates that an event will not occur, while a probability of 1 indicates certainty that the event will occur. Any number outside this range, such as 2.3, cannot represent a valid probability.
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Interpretation of Probability
The interpretation of probability involves understanding it as a ratio of favorable outcomes to the total number of possible outcomes. For example, if an event has a probability of 0.5, it means there is an equal chance of the event occurring or not occurring. This interpretation helps clarify why values greater than 1 are not feasible.
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Types of Events
Events in probability can be classified as certain, impossible, or random. A certain event has a probability of 1, while an impossible event has a probability of 0. Understanding these classifications helps in determining whether a given number can represent a probability, as only numbers within the 0 to 1 range can correspond to valid events.
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