A bookstore at the Hartsfield-Jackson airport in Atlanta sells reading materials (paperback books, newspapers, magazines) as well as snacks (peanuts, pretzels, candy, etc.) A point-of-sale terminal collects a variety of information about customer purchases. The accompanying table shows the number of snack items and the number of items of reading material purchased by the most recent 600 customers. Reading materials snacks 0 1 2 0 0 60 18 1 240 90 30 2 120 30 12 please solve parts 2, 3, and 4 Using the data in the table construct an empirical discrete bivariate probability distribution for x = number of snack items and y = number of reading materials for a randomly selected customer purchase. What is the probability of a customer purchase consisting of one item of reading materials and two snack items? What is the probability of a customer purchasing one snack item only? Why is the probability f(x=0, y=0)=0? Show the marginal probability distribution for the number of snack items purchased. Compute the expected value and variance. What is the expected value and variance for the number of reading materials purchased by a customer Show the probability distribution of t = total number of items for a randomly selected customer purchase. Compute its expected value and variance. (You are constructing a new random variable from the table. The random variable t = x + y is the number of objects purchased). Compute the covariance and correlation coefficient between x and y. What is the relationship, if any, between the number of reading materials and number of snacks purchased? (You're back to using the distribution from a - c., and the var(x+y) from part d.)
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
A bookstore at the Hartsfield-Jackson airport in Atlanta sells reading materials (paperback books, newspapers, magazines) as well as snacks (peanuts, pretzels, candy, etc.) A point-of-sale terminal collects a variety of information about customer purchases. The accompanying table shows the number of snack items and the number of items of reading material purchased by the most recent 600 customers.
Reading materials | |||
snacks | 0 | 1 | 2 |
0 | 0 | 60 | 18 |
1 | 240 | 90 | 30 |
2 | 120 | 30 | 12 |
please solve parts 2, 3, and 4
- Using the data in the table construct an empirical discrete bivariate probability distribution for x = number of snack items and y = number of reading materials for a randomly selected customer purchase. What is the probability of a customer purchase consisting of one item of reading materials and two snack items? What is the probability of a customer purchasing one snack item only? Why is the probability f(x=0, y=0)=0?
- Show the marginal probability distribution for the number of snack items purchased. Compute the
expected value and variance. - What is the expected value and variance for the number of reading materials purchased by a customer
- Show the probability distribution of t = total number of items for a randomly selected customer purchase. Compute its expected value and variance. (You are constructing a new random variable from the table. The random variable t = x + y is the number of objects purchased).
- Compute the
covariance andcorrelation coefficient between x and y. What is the relationship, if any, between the number of reading materials and number of snacks purchased? (You're back to using the distribution from a - c., and the var(x+y) from part d.)
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