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Day 3 – Probability Distributions Quiz

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Question 1 of 4

 

Which of the following best describes a continuous probability distribution?

A

It only has a finite number of possible outcomes

B

It is always represented by a bell curve

C

It can have an infinite number of possible outcomes within a range

D

It is only used for binary events

Question 2 of 4

 

What does the standard deviation in a probability distribution represent?

A

The average value of the dataset

B

The most common value in the dataset

C

The spread or variability of the data points from the mean

D

The total number of data points in the dataset

Question 3 of 4

 

Which type of probability distribution would best represent the outcomes of rolling a six-sided die?

A

Continuous probability distribution

B

Discrete probability distribution

C

Normal distribution

D

Exponential distribution

Question 4 of 4

 

In the context of probability distributions, what does the Bell Curve (Gaussian Distribution) represent?

A

A type of discrete probability distribution

B

A type of continuous probability distribution that is symmetrical and has a single peak

C

A distribution that only applies to binary outcomes

D

A distribution that always has a uniform probability for all outcomes

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