A quality control inspector at a textile factory is examining long rolls of fabric for defects. The inspector knows from past experience that, on average, there are 0.5 defects per meter of fabric. What is the probability that the inspector finds 0 defects in any given meter of fabric?
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 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
5. Binomial Distribution & Discrete Random Variables
Poisson Distribution
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A student working on a transportation engineering project analyzes traffic flow at an intersection for 20 min. From past data, the average # of cars per minute is 17.6.
(A) What is the expected number of cars in the entire 20 min period?
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Step 1: Identify the type of problem. This is a problem involving expected value, which is a fundamental concept in probability and statistics. The expected value is calculated by multiplying the average rate of occurrence by the total time period.
Step 2: Define the variables. Here, the average number of cars per minute (rate) is 17.6, and the total time period is 20 minutes.
Step 3: Write the formula for the expected value. The expected number of cars in the 20-minute period can be calculated as:
Step 4: Substitute the given values into the formula. Replace 'rate' with 17.6 and 'time' with 20:
Step 5: Perform the multiplication to find the expected number of cars. This will give you the total expected number of cars in the 20-minute period.
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