Statistics for Data Science and Business Analysis - The Normal Distribution

Statistics for Data Science and Business Analysis - The Normal Distribution

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics, Physics, Science

University

Hard

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The video tutorial introduces the concept of data distributions, focusing on the normal distribution due to its wide applicability and track record in statistical analysis. It explains the characteristics of a normal distribution, also known as a Gaussian or bell curve, highlighting its symmetry and the equality of mean, median, and mode. The tutorial further explores how changes in mean and standard deviation affect the distribution's shape, using histograms for illustration. The session concludes with a brief mention of standardization, setting the stage for the next lesson.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following distributions is known for its symmetry and equal mean, median, and mode?

Exponential Distribution

Normal Distribution

Poisson Distribution

Binomial Distribution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another name for the normal distribution?

Binomial Distribution

Uniform Distribution

Gaussian Distribution

Poisson Distribution

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to a normal distribution graph when the mean is increased while keeping the standard deviation constant?

The graph shifts to the right

The graph becomes wider

The graph becomes taller

The graph shifts to the left

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does a lower standard deviation affect the shape of a normal distribution?

It results in a wider graph

It results in a graph with more skewness

It results in a taller graph

It results in a graph with fatter tails

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the effect of a higher standard deviation on the normal distribution graph?

The graph becomes taller

The graph becomes narrower

The graph flattens out

The graph shifts to the left