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
Complements
Problem 3.1.84
Textbook Question
Using a Pie Chart to Find Probabilities In Exercises 83-86, use the pie chart at the left, which shows the number of workers (in millions) by occupation for the United States. (Source: U.S. Bureau of Labor Statistics)
84. Find the probability that a worker chosen at random is not employed in a service occupation.


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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Probability
Probability is a measure of the likelihood that a particular event will occur, expressed as a number between 0 and 1. In this context, it refers to the chance of randomly selecting a worker not employed in a service occupation. To calculate this, one must consider the total number of workers and the number of workers in service occupations.
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Pie Chart
A pie chart is a circular statistical graphic divided into slices to illustrate numerical proportions. Each slice represents a category's contribution to the whole. In this case, the pie chart displays the distribution of workers across various occupations, allowing for a visual understanding of the proportion of workers in service versus other occupations.
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Complementary Events
Complementary events are two outcomes of an event that are mutually exclusive and collectively exhaustive. In this scenario, the event of selecting a worker not in a service occupation is the complement of selecting a worker in a service occupation. Understanding this concept is crucial for calculating the probability of the desired outcome by subtracting the probability of the complementary event from 1.
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