
Introduction to Random Variables
Authored by TAY KIM GAIK TAY KIM GAIK
Mathematics
12th Grade
Used 1+ times

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52 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A random variable is:
a deterministic value
a variable that can take on different values randomly
a fixed number
a constant value
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Statistics is the study of:
numbers and data analysis
historical events
chemical reactions
literary works
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is probability?
Probability is a measure of the likelihood of an event occurring.
Probability is a type of mathematical operation.
Probability is a measure of certainty.
Probability is a type of statistical data.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The probability distribution function (PDF) for discrete random variables is:
A function that assigns probabilities to each possible outcome.
A function that integrates to one over the entire space.
A function that describes the likelihood of a continuous random variable.
A function that is always non-negative.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The cumulative distribution function (CDF) for discrete random variables is:
A function that assigns probabilities to each possible outcome
A function that gives the probability that a random variable is less than or equal to a certain value
A function that describes the likelihood of a random variable taking on a specific value
A function that provides the expected value of a random variable
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Describe the mean, variance, and standard variation for discrete random variables.
The mean is the average value, variance measures the spread, and standard deviation is the square root of variance.
The mean is the sum of all values, variance is the difference between highest and lowest values, and standard deviation is the variance squared.
The mean is the middle value, variance is the average of squared differences from the mean, and standard deviation is the variance cubed.
The mean is the most frequent value, variance is the range of values, and standard deviation is the variance divided by the mean.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The probability density function (PDF) for continuous random variables is used to:
Determine the probability of a random variable taking on a specific value.
Calculate the cumulative distribution function (CDF).
Describe the likelihood of a random variable falling within a particular range of values.
Find the expected value of a random variable.
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