MM207 Unit 4: Probability Distribution and Binomial Probability Analysis
Explores probability distributions and binomial probability.
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MM207 Unit 4 Chapter 4 Project
Robyn Galindo
1
MM207 Unit 4: Probability Distribution and Binomial Probability
Analysis
Total points are 40. Points are included with each problem.
Included with each section or problem are reference examples and end of section
exercises that can be used as a guide. Be sure to show your work in case partial
credit is awarded. To receive full credit, work must be shown if applicable.
Section 4.1 Probability Distribution
1. Decide whether the random variable is discrete or continuous.
(References: example 1 page 195, end of section exercises 13 – 20 page
201) (2 points per each part)
a. The number of oil spills off the East Coast discrete (countable)
b. The number of touchdowns in the 2007 Super Bowl discrete (countable)
c. The temperature in degrees Fahrenheit on December 31 in New York City
continuous (measureable)
d. The blood pressure of Statistic student in a class one hour after the final
exam continuous (measureable)
e. The age of the youngest student in an English grammar class continuous
(measureable)
2. Decide whether the distribution is a probability distribution. If it is not a
probability distribution, identify the property that is not satisfied. (References:
example 3 and 4 page 197, end of section exercises 25 - 28 page 202 -
203) (5 points)
This distribution is NOT a probability distribution. The probability of each variable is
not between 0 and 1 AND the sum of the probabilities does not equal 1.
x P(x)
0 0.30
1 0.40
2 0.20
3 -0.06
4 0.04
Robyn Galindo
1
MM207 Unit 4: Probability Distribution and Binomial Probability
Analysis
Total points are 40. Points are included with each problem.
Included with each section or problem are reference examples and end of section
exercises that can be used as a guide. Be sure to show your work in case partial
credit is awarded. To receive full credit, work must be shown if applicable.
Section 4.1 Probability Distribution
1. Decide whether the random variable is discrete or continuous.
(References: example 1 page 195, end of section exercises 13 – 20 page
201) (2 points per each part)
a. The number of oil spills off the East Coast discrete (countable)
b. The number of touchdowns in the 2007 Super Bowl discrete (countable)
c. The temperature in degrees Fahrenheit on December 31 in New York City
continuous (measureable)
d. The blood pressure of Statistic student in a class one hour after the final
exam continuous (measureable)
e. The age of the youngest student in an English grammar class continuous
(measureable)
2. Decide whether the distribution is a probability distribution. If it is not a
probability distribution, identify the property that is not satisfied. (References:
example 3 and 4 page 197, end of section exercises 25 - 28 page 202 -
203) (5 points)
This distribution is NOT a probability distribution. The probability of each variable is
not between 0 and 1 AND the sum of the probabilities does not equal 1.
x P(x)
0 0.30
1 0.40
2 0.20
3 -0.06
4 0.04
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Document Details
University
Kaplan University School of Business and Management
Subject
Mathematics