In a sales effectiveness seminar, a group of sales representatives tried two approaches to selling a customer a new automobile: the aggressive approach and the passive approach. For 1160 customers, the following record was kept: Sale No Sale Row Total Aggressive 275 305 580 Passive 461 119 580 Column Total 736 424 1160Suppose a customer is selected at random from the 1160 participating customers. Let us use the following notation for events: A = aggressive approach, Pa = passive approach, S = sale, N = no sale. So, P(A) is the probability that an aggressive approach was used, and so on. (a) Compute P(S), P(S | A), and P(S | Pa). (Enter your answers as fractions.) P(S) = P(S | A) = P(S | Pa) = (b) Are the events S = sale and Pa = passive approach independent? Explain. No. The two events cannot occur together. Yes. The two events can occur together. No. P(S) ≠ P(S | Pa). Yes. P(S) = P(S | Pa). (c) Compute P(A and S) and P(Pa and S). (Enter your answers as fractions.) P(A and S) = P(Pa and S) =
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
| Sale | No Sale | Row Total | |
| Aggressive | 275 | 305 | 580 |
| Passive | 461 | 119 | 580 |
| Column Total | 736 | 424 | 1160 |
| P(S) = | |
| P(S | A) = | |
| P(S | Pa) = |
(b) Are the events S = sale and Pa = passive approach independent? Explain.
(c) Compute P(A and S) and P(Pa and S). (Enter your answers as fractions.)
| P(A and S) = | |
| P(Pa and S) = |
(d) Compute P(N) and P(N | A). (Enter your answers as fractions.)
| P(N) = | |
| P(N | A) = |
(e) Are the events N = no sale and A aggressive approach independent? Explain.
(f) Compute P(A or S). (Enter your answer as a fraction.)
P(A or S) =
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