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APS4-2 Random Variables

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Last updated almost 5 years ago
9 questions
4
2
1
1
1
2
2
2
2
Question 1
1.

Classify each variable as a discrete or continuous random variable

  • The age of a female
  • The amount of sugar in an orange
  • The Friday night attendance at a football game
  • The number of children in a family
  • Discrete
  • Continuous
Question 2
2.

In a probability distribution, the Probability must satisfy which two requirements?

Question 3
3.

The table below shows the probability distribution for the number of tails (X) in five tosses of a fair coin.

What is the expected value of X?

Question 4
4.

Suppose that the distribution of a set of scores has a mean of 47 and a standard deviation of 14. If 4 is added to each score, what will be the mean and the standard deviation of the distribution of new scores?

Question 5
5.

Let the random variable X represent the profit made on a randomly selected day by a certain store. Assume that X is Normal with mean $360 and standard deviation $50. What is P(X > $400)?

Question 6
6.

Picard Partners is planning a major investment. The amount of profit X is uncertain but a probabilistic estimate gives the following distribution (in millions of dollars)
Find the mean (expected value) of X.

Question 7
7.

Picard Partners is planning a major investment. The amount of profit X is uncertain but a probabilistic estimate gives the following distribution (in millions of dollars)
Interpret the mean (expected value) of X that you found in the previous question.

Question 8
8.

Picard Partners is planning a major investment. The amount of profit X is uncertain but a probabilistic estimate gives the following distribution (in millions of dollars)
Find the standard deviation of X.

Question 9
9.

Picard owes its source of capital a fee of $200,000 plus 10% of the profits X. So the firm actually retains Y = 0.9X – 0.2 from the investment. Use a linear transformation of your results in (a) and (b) to find the mean and standard deviation for Y.

None
The values of random variable X must add up to 1.
The sum of the probabilities must equal 1.
The values of random variable X must be between 0 and 1.
The distribution must be symmetric.
3.0
2.5
4.0
3.5
Mean is 47 and Standard Deviation is 14
Mean is 51 and Standard Deviation is 14
Mean is 47 and Standard Deviation is 16
0.5319
0.2119
0.788