Module 2 - Symmetry, Variability and Presentation Flashcards

1
Q

What is a Symmetric Distribution?

A

A symmetric distribution is a type of probability distribution where the left and right sides of the graph are mirror images of each other, with the mean, median, and mode all occurring at the center.

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2
Q

What is a Positively (right) Skewed Graph?

A
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3
Q

What is a Negatively (left) Skewed Graph?

A
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4
Q

How to tell whether the data distribution is symmetric?
* Skewness statistic
* Histograms (and density plot)
* Boxplots

A

Symmetric distribution: Skewness = 0

Left/Negatively skewed: Skewness = < 0 (negative numbers)

Right/Positively skewed: Skewness = > 0 (positive numbers)

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5
Q

watch lecture

A
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6
Q

Would this be left or right skewed?

A

Left/Negatively Skewed because there is a longer whisker on the left (lower values) and the outlier is on the lower end

Furtheremore, In left-skewed distributions, the median tends to be closer to the top of the box, as seen here.

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7
Q

How do we know these are Normal distributions?

A

Unimodal and Symmetrical

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8
Q

What is Kurtosis?

A

Tailedness of the Distribution

Whether tails are light or heavy

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9
Q

What is a Heavy Tail?

A

A Tail is heavy when it contains outliers

An outlier has more influence in the kurtosis statsistic

Thus they have more “weight” on the kurtosis, thus heavy

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10
Q

What is a Light Tail?

A

A tail is light when it is less likely to have outliers

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11
Q

Kurtosis = 0

A
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12
Q

Kurtosis > 0

A
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13
Q

Kurtosis < 0

A
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14
Q

What do Kurtosis Values tell us?

A
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15
Q

Boxplot is better at seeing outleirs

A
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16
Q

How should you add tables to your reports?

A
17
Q

How should you add graphs to your reports?

A