Discreet Probability Distribution

A variable where the information or data can take infinitely many values is

• Continuous variable

• Discrete variable

• Quantitative

• Qualitative variable

Which of the following statement describe a continuous random variable?

• The number of students present in a Class Temperance

• The average distance travelled by a tricycle in a month

• The number of motorcycle owned by a randomly selected household

• The number of girls taller than 5 feet in a random sample of 6 girls

A set of numerical values assigned to a sample space is called

• Random experiment

• Random sample

• Random variable

• None of the above

You decided to conduct a survey of families with three children. You are interested in counting the number of girl in each family. Is this a random variable?

• Maybe

• Cannot be determined

• Yes, it is a random variable

• No, it is not a random variable

Which of the following statement DOES NOT describe a continuous random variable?

• Height of students in a certain class

• The average weight of chicken each day

• The number of streets at barangay Tahimik

• The distance travelled by a delivery van in an hour

Which of the following best describe variable that can be counted?

• Categorical

• Continuous

• Discrete

• Ordinal

Which of the following best describe variable that can be measured?

• Categorical

• Continuous

• Discrete

• Ordinal

A drawer has 2 red ties, 3 black ties and 5 blue ties. A tie is picked at random. What is the total number of possible outcomes?

• 2

• 3

• 5

• 10

You decide to collect a bunch of cans of soda and measure the volume of soda in each can. Let x be the number of soda in each can. What type of variable is x?

• x is a constant

• x is a place holder

• x is a discrete random variable

• x is a continuous random variable

Which of the following is a true statement?

• Random variables can only have one value.

• The value of a random variable could not be zero.

• The probability of all the value of a random variable could be zero

• The sum of all the probabilities in a probability distribution is equal to one.