Name: CHAPTER 5 - DISCRETE PROBABILITY DISTRIBUTIONS Course Pack 1. Classify each of the following random variables as discrete or continuous. This is a review from Ch 1. x = the temperature of a pizza oven at a particular time. a. b. x = the number of defects found on an automobile at final inspection. c. X= the time needed by a clerk to complete a task. d. x = the weight (in ounces) of the sandwich meat placed on a sub. e. x = the number of customers served during a given day at a drive-through window. %3D 2. If the probability of a success on a single trial is .2, what is the probability of obtaining 3 successes in 10 trials if the number of successes is binomial? 3. The J.O. Supplies Company buys calculators from a Korean supplier. The probability of a defective calculator is 10%. a. If 3 calculators are selected at random, what is the probability that one of the calculators will be defective? b. If 10 calculators are selected at random, what is the probability that 3 or more of the calculators will be defective?
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.
Problems 2 and 3
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