Which of the following is an example of a continuous random variable?
a. The number of cars in a parking lot.
b. The weight of a bag of potatoes.
c. The number of repairs at a computer shop over the course of the week.
d. The total runs scored in a cricket game.

An example of a continuous random variable is B. The weight of a bag of potatoes.

A continuous random variable simply means a random variable where the data can take many values. It simply means that a continuous random variable takes all values in a given interval of numbers.

An example of a continuous random variable is the weight of a bag of potatoes. It should be noted that pressure, weight, density, temperature, are examples of a continuous random variable.

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The weight of a bag of potatoes.

Step-by-step explanation:

Continuous variable are those which can take infinite number of value between any two values.

For example: amount of sand : it can take any value  let say between 100 and 101 kg. Such 100.1 kg,  100.888 kg and so on.

Discreet variable are those which takes values which can take on natural number values such 1,2 , and so on.

Example : no of students of class:  no. of students can only be natural numbers  like 45, 35 and so on

lets evaluate options now

a. The number of cars in a parking lot.--> it is Discreet variable as no. of cars can be in terms of natural numbers

The weight of a bag of potatoes. it is continuous variable as weight can take infinite set of values like 200 kg, 200.11 kg, 200. 111119 kg and etc.

The number of repairs at a computer shop over the course of the week.

--> it is Discreet variable as number of repairs will also vary in natural number form like 10 repairs, 20 repairs etc. there cannot be 10. repairs.

d. The total runs scored in a cricket game

---> It is Discreet variable as number of runs scored is also natural number like 251 runs, 301 runs. Runs cannot be 300.2 runs.

Hence, correct answers is  

The weight of a bag of potatoes.

it has the same slope and a different y-intercept

hope this : )

what shape is