Final answer:
a. The probability mass function (pmf) f(x) of a random variable X is calculated using the hypergeometric distribution formula. b. P(X = 1) represents the probability of selecting exactly 1 defective pedometer out of the 7 tested. c. P(X > 2) represents the probability of selecting more than 2 defective pedometers out of the 7 tested.
Step-by-step explanation:
a. Probability Mass Function
The probability mass function (pmf) f(x) of a random variable X is defined as the probability that X takes on a specific value x. In this case, X represents the number of defective pedometers among the 7 units tested.
To find the pmf, we can use the hypergeometric distribution formula:
f(x) = (C(D, x) * C(N-D, n-x)) / C(N, n)
Where:
- D = number of defective pedometers (3)
- N = total number of pedometers (26)
- n = number of pedometers tested (7)
- C(a, b) = combination formula (a choose b)
We can calculate the pmf for all values of x from 0 to 7.
b. P(X = 1)
To find P(X = 1), we substitute x = 1 into the pmf formula:
f(1) = (C(3, 1) * C(26-3, 7-1)) / C(26, 7)
This represents the probability of selecting exactly 1 defective pedometer out of the 7 tested.
c. P(X > 2)
To find P(X > 2), we need to sum up the probabilities of X being greater than 2:
P(X > 2) = P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) + P(X = 7)
This represents the probability of selecting more than 2 defective pedometers out of the 7 tested.