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13.1.6. Mean and Variance using PDF
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Mixed questions from across the chapter. Your answers get marked.
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3 cards from this lesson. Good the night before a test.
Try these first
- 1.
What is the expected value of a continuous random variable with PDF f(x) = 3x² for x from 0 to 1?
Hint
Use the integral definition of expected value.
- 2.
Define variance.
Hint
Think about variability in data.
- 3.
What is the formula for calculating the mean of a continuous random variable?
- E[X] = ∫ f(x) dx
- E[X] = ∫ x f(x) dx
- E[X] = ∫ (x - µ)² f(x) dx
Hint
Focus on what you integrate.
- 4.
True or False: Variance can be zero for a random variable.
- True
- False
Hint
Consider what variance measures.
- 5.
A continuous random variable's PDF is given by f(x) = 12x(1-x) for 0 ≤ x ≤ 1. Calculate the mean and variance.
Hint
Calculate the mean first and then use it to find the variance.
- 6.
For a normal distribution with mean 5 and standard deviation 2, determine E[X²] and its relationship to the variance.
Hint
Recall the formulas relating mean and variance.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
1 more question available
Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting