Question

Identify the given random variable as being discrete or continuous. a. The number of people now driving a car in the United States b. The weight of the gold stored in Fort Knox c. The height of the last airplane that departed from JFK Airport in New York City d. The number of cars in San Francisco that crashed last year e. The time required to fly from Los Angeles to Shanghai

Name: Problem 5, Chapter 5: Elementary Statistics
Uploaded: 2022-04-10T11:54:57-08:00
Duration: 1 min 41 s
Channel: Christopher Stanley
Description: Identify the given random variable as being discrete or continuous. a. The number of people now driving a car in the United States b. The weight of the gold stored in Fort Knox c. The height of the last airplane that departed from JFK Airport in New York City d. The number of cars in San Francisco that crashed last year e. The time required to fly from Los Angeles to Shanghai

   Identify the given random variable as being discrete or continuous.
a. The number of people now driving a car in the United States
b. The weight of the gold stored in Fort Knox
c. The height of the last airplane that departed from JFK Airport in New York City
d. The number of cars in San Francisco that crashed last year
e. The time required to fly from Los Angeles to Shanghai

Elementary Statistics

Mario F. Triola 11th Edition

Chapter 5, Problem 5

Instant Answer

Solved by Expert Christopher Stanley

04/10/2022

Step 1

A discrete random variable is one that is countable, while a continuous random variable is one that is not countable but measured. Show more…

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Identify the given random variable as being discrete or continuous. a. The number of people now driving a car in the United States b. The weight of the gold stored in Fort Knox c. The height of the last airplane that departed from JFK Airport in New York City d. The number of cars in San Francisco that crashed last year e. The time required to fly from Los Angeles to Shanghai

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Key Concepts

Discrete Random Variable

A discrete random variable is one that takes on a countable number of distinct values. This type of variable usually represents counts of items or events and is typically expressed in integer values. Examples include counting the number of cars involved in an accident or the number of people driving, where there can be gaps between possible outcomes.

Continuous Random Variable

A continuous random variable can take any value within a given range or interval, meaning there are infinite possible outcomes within that range. These variables typically represent measurements like weight, height, or time and are not limited to whole numbers. For instance, flight times or the height of airplanes are continuously distributed measures that can assume any value within certain bounds.

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