The sales manager of a phamaceutical company believes that the probabiliay that a sales contact is just in actual sales is 0.30 if a contact is made with a prospective buyers in a particular day. What is the probability that he will make A) at most 3 sales B) at most 4 sales

Mathematics

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This problem involves a binomial distribution, but the number of sales contacts (nn) is not explicitly stated. We will assume a reasonable number of contacts to solve the problem.

Assumption: We assume the sales manager makes n=5n=5 sales contacts in a particular day. If the actual number of contacts is different, the probabilities will change accordingly.

Given:

  • Probability of a sale (pp) = 0.30
  • Probability of no sale (1−p1-p) = 1−0.30=0.701 - 0.30 = 0.70
  • Number of contacts (nn) = 5 (assumed)

Let XX be the number of sales made. The probability mass function for a binomial distribution is P(X=k)=(nk)pk(1−p)n−kP(X=k) = \binom{n}{k} p^k (1-p)^{n-k}.

Step 1: Calculate the probability of making kk sales for k=0,1,2,3,4,5k=0, 1, 2, 3, 4, 5.

P(X=0)=(50)(0.30)0(0.70)5=1×1×0.16807=0.16807P(X=0) = \binom{5}{0} (0.30)^0 (0.70)^5 = 1 \times 1 \times 0.16807 = 0.16807 P(X=1)=(51)(0.30)1(0.70)4=5×0.30×0.2401=0.36015P(X=1) = \binom{5}{1} (0.30)^1 (0.70)^4 = 5 \times 0.30 \times 0.2401 = 0.36015 P(X=2)=(52)(0.30)2(0.70)3=10×0.09×0.343=0.30870P(X=2) = \binom{5}{2} (0.30)^2 (0.70)^3 = 10 \times 0.09 \times 0.343 = 0.30870 P(X=3)=(53)(0.30)3(0.70)2=10×0.027×0.49=0.13230P(X=3) = \binom{5}{3} (0.30)^3 (0.70)^2 = 10 \times 0.027 \times 0.49 = 0.13230 P(X=4)=(54)(0.30)4(0.70)1=5×0.0081×0.70=0.02835P(X=4) = \binom{5}{4} (0.30)^4 (0.70)^1 = 5 \times 0.0081 \times 0.70 = 0.02835 P(X=5)=(55)(0.30)5(0.70)0=1×0.00243×1=0.00243P(X=5) = \binom{5}{5} (0.30)^5 (0.70)^0 = 1 \times 0.00243 \times 1 = 0.00243

A) Probability of at most 3 sales, P(X≤3)P(X \le 3).
This is the sum of probabilities for X=0,1,2,3X=0, 1, 2, 3.

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