Solve the following defective rate problem using the concepts learned about the geometric distribution. A machine that produces a special type of transistor (a component of computers) has a 2% defective rate. The production is considered a random process where
Poisson Experiments
Think of a Poisson experiment example from your own area of interest. Describe how the selected experiment meets all the characteristics of a Poisson experiment. The Poisson distribution may also be used to approximate the binomial distribution. Explain this relationship
Finding Missing Probabilities
To find the missing probability, we can use the fact that the sum of all probabilities in a probability distribution is equal to 1. Given the probabilities provided, we can calculate the missing probability for x = 4 by subtracting
Finding probabilities
Given the table below, answer the questions the following questions: 1. What is the probability that P(X>2)? 2. What is the probability that P(X=4)? 3. What is the probability that P(1<X<3)? x P(x) 1 0.15 2 0.35 3 0.40 4
Binominal Experiments
Think of a binomial experiment example from your own area of interest. Describe how the experiment selected meets all the characteristics of a binomial experiment. First, let’s see what a binomial experiment is. A binomial experiment is a statistical experiment
Mutually Exclusive Events
Two events are mutually exclusive when they cannot occur at the same time. Two events are independent when the occurrence of one event does not affect the occurrence of the others. Identify from your field of interest two events you
Checking the Validity of Any Data Set That You Analyze
Specify a large population that you might want to study and describe the type of numeric measurement that you will collect (examples: a count of things, the height of people, a score on a survey, the weight of something) for
Proportions
Data was collected randomly from 50 students at the University of People asking them the number of courses they were taking a given term. # of Cour-ses Frequen-cy Relative Frequen-cy Cumulative Relative Fre-quency 1 30 0.6 2 15
A sample as a subgroup of the population
Is it appropriate to attempt to represent the entire population only by a sample? When you formulate your answer to this question, it may be useful to come up with an example of a question from your own field of