Random Variables: Discrete vs Continuous

What type of random variable is 'the number of defective computers produced by a manufacturer'?

What type of random variable is 'the weight of newborns each year in a hospital'?

What type of random variable is 'the number of siblings in a family of a region'?

What type of random variable is 'the amount of paint utilized in a building project'?

What type of random variable is 'the number of dropouts in a school district for a period of 10 years'?

What type of random variable is 'the speed of a car'?

What type of random variable is 'the number of female athletes'?

What type of random variable is 'the time needed to finish the test'?

What type of random variable is 'the amount of sugar in a cup of coffee'?

What type of random variable is 'the number of voters favoring a candidate'?

Classification of Random Variables

Number of Defective Computers: Discrete variable. Represents a count of defective units which cannot be fractional.
Weight of Newborns: Continuous variable. Weight can take any value within a range, including decimals.
Number of Siblings in a Family: Discrete variable. A whole number representing siblings; can't have partial siblings.
Amount of Paint Utilized: Continuous variable. Measured in fluid volume, allowing for fractional amounts.
Number of Dropouts in a School District: Discrete variable. Counts individual students who have dropped out, hence whole numbers only.
Speed of a Car: Continuous variable. Speed can vary infinitely and includes precise values (e.g., 55.5 mph).
Number of Female Athletes: Discrete variable. Reflects a specific count of athletes, limited to whole numbers.
Time Needed to Finish a Test: Continuous variable. Time can be measured in fractions of minutes, allowing for precise recording.
Amount of Sugar in a Cup of Coffee: Continuous variable. Sugar quantity can vary and is measured in grams, including decimals.
Number of Voters Favoring a Candidate: Discrete variable. Represents a count of individuals, which is inherently whole.

This quiz focuses on classifying random variables as discrete or continuous. It includes various examples like defective computers and the weight of newborns. Test your understanding of these concepts and improve your statistical knowledge.