McGraw Hill Glencoe Algebra 2, 2012
MH
McGraw Hill Glencoe Algebra 2, 2012 View details
4. The Binomial Distribution
Continue to next subchapter

Exercise 3 Page 756

A binomial experiment must have a fixed number of independent trials n. Each trial must have only two possible outcomes and the probability of success p must be the same in every trial.

Is It a Binomial Experiment? Yes.
Trial: Asking a student
Random Variable: Number of yes responses
Value of n: 30
Value of p: 0.72
Value of q: 0.28

Practice makes perfect

A binomial experiment is a probability event that satisfies four conditions.

  1. There is a fixed number of independent trials n.
  2. Each trial has only two possible outcomes — success or failure.
  3. The probability of success p is the same in every trial. The probability of failure q is 1-p.
  4. The random variable X is the number of successes in n trials.

Let's now consider the given experiment to determine whether it is a binomial experiment or can be reduced to a binomial experiment.

A poll found that 72 % of the students plan on going to the homecoming dance. You ask 30 students if they are going to the dance.

Recall that 72 %, written as a decimal, is 0.72. Therefore, when a student is asked if they will go to the dance, we can think of the responses as having the following probabilities. ccc Response & Variable & Probability Yes & p & 0.72 No & 1- p = q & 1- 0.72= 0.28 Let's see if the experiment satisfies the conditions.

Condition Explanation Is it Satisfied?
1. Each trial is asking the question to a singular student. There is a fixed number of independent trials, n=30. ✓
2. Success is yes, failure is no. ✓
3. The probability of success is the same in every trial, p=0.72. The probability of failure is q=0.28. ✓
4. The random variable X is the number of yes responses. ✓

Since the experiment satisfies the conditions, it is a binomial experiment.