Math Problem Statement

A recent study of students ordering books from the Campus Store showed that 18 students ordered 0 books, 27 ordered exactly 1 book, 64 ordered 2 books, 59 ordered 3 books and 32 ordered 4 books. What is the expected value number of books ordered per student? Answer to one decimal. Hint: Construct a frequency/summary table.

Solution

To calculate the expected value of the number of books ordered per student, we need to use the formula for the expected value in a discrete probability distribution:

E(X)=i=1n(xiP(xi))E(X) = \sum_{i=1}^{n} (x_i \cdot P(x_i))

Where:

  • xix_i is the value of the random variable (the number of books ordered),
  • P(xi)P(x_i) is the probability of each outcome (the proportion of students who ordered xix_i books).

Step 1: Construct the frequency table

Number of Books Ordered (xix_i)Frequency (fif_i)Probability (P(xi)P(x_i))xiP(xi)x_i \cdot P(x_i)
01818200=0.09\frac{18}{200} = 0.0900.09=00 \cdot 0.09 = 0
12727200=0.135\frac{27}{200} = 0.13510.135=0.1351 \cdot 0.135 = 0.135
26464200=0.32\frac{64}{200} = 0.3220.32=0.642 \cdot 0.32 = 0.64
35959200=0.295\frac{59}{200} = 0.29530.295=0.8853 \cdot 0.295 = 0.885
43232200=0.16\frac{32}{200} = 0.1640.16=0.644 \cdot 0.16 = 0.64

Step 2: Calculate the expected value

Now, we compute the sum of xiP(xi)x_i \cdot P(x_i):

E(X)=0+0.135+0.64+0.885+0.64=2.3E(X) = 0 + 0.135 + 0.64 + 0.885 + 0.64 = 2.3

Thus, the expected value of the number of books ordered per student is 2.3.

Final Answer:

The expected number of books ordered per student is 2.3.

Would you like further clarification or have any other questions on this?

Here are some related questions:

  1. How do you calculate the variance of the number of books ordered per student?
  2. What is the standard deviation of the number of books ordered?
  3. How would the expected value change if one more student ordered 4 books?
  4. Can you use this method to find the expected value in a different type of problem?
  5. How do you interpret the expected value in the context of this problem?

Tip: The expected value is a weighted average of all possible outcomes, where each outcome is weighted by its probability.

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Math Problem Analysis

Mathematical Concepts

Probability
Expected Value
Discrete Random Variables

Formulas

E(X) = Σ (x_i * P(x_i))

Theorems

Law of Expectation in Probability Theory

Suitable Grade Level

Grades 9-12