MATH 221 Week 4 Discussion Post
Both Discrete and Continuous Random Variables Discussion Post #3
Professor Ramanathan
A variable is a quantity whose value changes.
A discrete variable is a variable whose value is obtained by counting.
Examples: number of students present
number of red marbles in a jar
number of heads when flipping three coins
students’ grade level
A continuous variable is a variable whose value is obtained by measuring.
Examples: height of students in class
weight of students in class
time it takes to get to school
distance traveled between classes
A random variable is a variable whose value is a numerical outcome of a random phenomenon.
Examples:
▪ A random variable is denoted with a capital letter
▪ The probability distribution of a random variable X tells what the possible values of X are
and how probabilities are assigned to those values
▪ A random variable can be discrete or continuous
A discrete random variable X has a countable number of possible values.
Then the probability distribution of X is as follows:
X 2 3 4 5 6 7 8 9 10 11 12
P(X)
This study source was downloaded by 100000849840424 from CourseHero.com on 07-19-2022 13:11:19 GMT -05:00
https://www.coursehero.com/file/97865015/MATH-221-Week-4-Discussion-post-3-032721-1docx/
Both Discrete and Continuous Random Variables Discussion Post #3
Professor Ramanathan
A variable is a quantity whose value changes.
A discrete variable is a variable whose value is obtained by counting.
Examples: number of students present
number of red marbles in a jar
number of heads when flipping three coins
students’ grade level
A continuous variable is a variable whose value is obtained by measuring.
Examples: height of students in class
weight of students in class
time it takes to get to school
distance traveled between classes
A random variable is a variable whose value is a numerical outcome of a random phenomenon.
Examples:
▪ A random variable is denoted with a capital letter
▪ The probability distribution of a random variable X tells what the possible values of X are
and how probabilities are assigned to those values
▪ A random variable can be discrete or continuous
A discrete random variable X has a countable number of possible values.
Then the probability distribution of X is as follows:
X 2 3 4 5 6 7 8 9 10 11 12
P(X)
This study source was downloaded by 100000849840424 from CourseHero.com on 07-19-2022 13:11:19 GMT -05:00
https://www.coursehero.com/file/97865015/MATH-221-Week-4-Discussion-post-3-032721-1docx/
