Measures of Central Tendency, asymmetry, and variability(Udemy Statistics for Data Science and Business Analysis) Flashcards

1
Q

What is the mean denoted by in greek letters?

A

u for population and x with a bar over it for a sample

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2
Q

How do you get the mean?

A

Add up all the components of a dataset, then divide them by their number

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3
Q

What is meant by skewness?

A

Whether the observations of a dataset are concentrated on one side

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4
Q

What does it mean if the mean is greater than the median?

A

That there is a positive, or right skew to the data

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5
Q

What does it mean when the mean, median, and mode are all the same?

A

The data is 0, or no skew

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6
Q

What does it mean when mean is lower than median?

A

Negative, or left skew

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7
Q

Why is skewness important?

A

Skewness tells us a lot about where the data is situated

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8
Q

What does Variance Measure?

A

The dispersion of a set of data points around their mean

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9
Q

Are there different formulas for sample and population variance? Yes/No?

A

Yes

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10
Q

What is the most common measure of variability for a simple dataset?

A

Standard Deviation

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11
Q

What is the coefficient of variation?

A

The ratio of the standard deviation to the mean

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12
Q

What does covariance do?

A

It gives us a sense of the direction of the way that 2 variables are moving and their relationship, if greater than 0, the variables move together, , if less than 0, they move in opposite directions, if 0, the two variables are independent

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13
Q

What does a correlation of 1 mean?

A

It is a perfect positive correlation, it means that entire variability of one variable is explainable by other variable

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14
Q

What does a correlation of 0 mean?

A

That they are absolutely 2 independent variables

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