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 3.1.43
Textbook Question
Finding Classical Probabilities In Exercises 41-46, a probability experiment consists of rolling a 12-sided die numbered 1 to 12. Find the probability of the event.
43. Event C: rolling a number greater than 4

1
Step 1: Understand the problem. The experiment involves rolling a 12-sided die, and we are tasked with finding the probability of rolling a number greater than 4. Classical probability is calculated as the ratio of favorable outcomes to the total number of possible outcomes.
Step 2: Identify the total number of possible outcomes. Since the die is 12-sided, the total number of outcomes is 12. This represents all the numbers from 1 to 12.
Step 3: Determine the favorable outcomes. The event 'rolling a number greater than 4' includes all numbers greater than 4, which are {5, 6, 7, 8, 9, 10, 11, 12}. Count these numbers to find the number of favorable outcomes.
Step 4: Write the formula for classical probability. The probability of an event is given by:
Step 5: Substitute the values into the formula. The number of favorable outcomes is the count of numbers greater than 4, and the total number of possible outcomes is 12. Simplify the fraction to express the probability.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Classical Probability
Classical probability is defined as the ratio of the number of favorable outcomes to the total number of possible outcomes in a probability experiment. It assumes that all outcomes are equally likely. For example, when rolling a 12-sided die, the total outcomes are 12, and the probability of rolling a specific number is 1/12.
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Favorable Outcomes
Favorable outcomes refer to the specific results of an experiment that satisfy the conditions of the event being analyzed. In the context of rolling a die, if the event is rolling a number greater than 4, the favorable outcomes would be the numbers 5, 6, 7, 8, 9, 10, 11, and 12, totaling 8 favorable outcomes.
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Calculating Probability
To calculate the probability of an event, you divide the number of favorable outcomes by the total number of possible outcomes. For the event of rolling a number greater than 4 on a 12-sided die, the probability would be calculated as 8 (favorable outcomes) divided by 12 (total outcomes), resulting in a probability of 2/3.
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