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 3.1.46
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.
46. Event F: rolling a number divisible by 5

1
Step 1: Understand the problem. The experiment involves rolling a 12-sided die numbered from 1 to 12. The goal is to find the probability of rolling a number divisible by 5.
Step 2: Identify the numbers divisible by 5 within the range of 1 to 12. A number is divisible by 5 if it can be expressed as 5 × k, where k is an integer. In this case, the numbers divisible by 5 are 5 and 10.
Step 3: Count the total number of outcomes in the sample space. Since the die has 12 sides, the total number of outcomes is 12.
Step 4: Count the favorable outcomes for Event F. The favorable outcomes are the numbers divisible by 5, which are 5 and 10. Therefore, there are 2 favorable outcomes.
Step 5: Calculate the probability using the classical probability formula: \( P(F) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} \). Substitute the values: \( P(F) = \frac{2}{12} \). Simplify the fraction if needed.

This video solution was recommended by our tutors as helpful for the problem above
Video duration:
2mPlay a video:
Was this helpful?
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.
Recommended video:
Introduction to Probability
Divisibility
Divisibility is a mathematical concept that determines whether one integer can be divided by another without leaving a remainder. In the context of the given problem, we are interested in the numbers on the die that are divisible by 5, which are 5 and 10. Understanding which numbers meet this criterion is essential for calculating the probability of event F.
Recommended video:
Guided course
Difference in Means: Hypothesis Tests Example 1
Event and Sample Space
An event is a specific outcome or a set of outcomes from a probability experiment, while the sample space is the set of all possible outcomes. In this case, the sample space consists of the numbers 1 through 12 on the die, and event F includes the outcomes that are divisible by 5. Identifying the event and sample space is crucial for calculating the probability of event F.
Recommended video:
Sampling Distribution of Sample Proportion
Watch next
Master Introduction to Probability with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice