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Introduction to Probability Distributions - Random Variables

Authored by CHIA YENG

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Introduction to Probability Distributions - Random Variables
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6 questions

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1.

OPEN ENDED QUESTION

30 sec • Ungraded

In your own words, describe what a random variable is:

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2.

OPEN ENDED QUESTION

30 sec • Ungraded

Give an example of a random variable:

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3.

MULTIPLE SELECT QUESTION

30 sec • Ungraded

Which of the following variables are continuous random variables (select all that apply):

Number of ice cream cones a customer orders
Number of minutes each customer spends deciding which ice cream to buy
Number of ringgit spent by each customer
Number of scoops of ice cream each customer buys
Number of kilometers each customer spent travelling to the ice cream shop

4.

OPEN ENDED QUESTION

30 sec • Ungraded

Describe (in words) what the mathematical notation " P(X > 2) " means:

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5.

MULTIPLE CHOICE QUESTION

30 sec • Ungraded

Which of the following statements is false?

A probability distribution shows the probability of each outcome in the experiment or sample space
If the possible values of a random variable X are 0,1, 2, 3, 4 or 5, then P(X < 2) = P(X=0) + P(X=1)
A random variable is one that is not measurable

6.

OPEN ENDED QUESTION

30 sec • Ungraded

In your own words, describe what a "probability distribution" is:

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