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. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean2h 8m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample2h 23m
- 10. Hypothesis Testing for Two Samples3h 25m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
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?
A
18
B
352
C
360
D
340

1
Step 1: Understand the problem. The problem involves calculating the expected number of cars passing through an intersection over a 20-minute period, given the average number of cars per minute is 17.6.
Step 2: Recall the formula for expected value in this context. The expected number of cars over a given time period can be calculated as: \( \text{Expected Number of Cars} = \text{Average Cars per Minute} \times \text{Total Time in Minutes} \).
Step 3: Substitute the given values into the formula. Here, the average number of cars per minute is 17.6, and the total time is 20 minutes. The formula becomes: \( \text{Expected Number of Cars} = 17.6 \times 20 \).
Step 4: Perform the multiplication to find the expected number of cars. This step involves multiplying 17.6 by 20 to get the result.
Step 5: Interpret the result. The calculated value represents the expected number of cars passing through the intersection during the 20-minute observation period.
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