Data Distributions Flashcards

1
Q

What is normal distribution?

A

It is the predicted distribution when considering an equally likely set of data

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2
Q

What’s the shape of normal distribution?

A

A classic bell shaped curve

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3
Q

Features of normal distribution?

A

1 The mean median and mode all at the same point
2 The distribution symmetrical around the midpoint
3 The distribution scores or measurements either side of the midpoint is consistent and can be expressed in standard deviation

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4
Q

Examples of normal distribution?

A

All signs point to iq scores being similar due to age

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5
Q

For diagram of normal distribution?

A

Look at distribution curves booklet

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6
Q

When does skewed distribution occur?

A

If some scores are not distributed equally around the mean
-the data values trail off more sharply on one side than on the other

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7
Q

Why do we get positively skewed data?

A

-Where something in our score has an anomaly
-Most scores to be towards the low end rather them the high end of score of the range
-Produces a positive skew when their are high scores show that it affects the mean which is higher than median creating a positive skew

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8
Q

Examples of a positive skew?

A

A hard test
most common score was low but a few extreme highs cab show the data

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9
Q

What is a negative skew of data?

A

The mean is below the median and the mode

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10
Q

Examples of a negative skew of data?

A

If the marks were plotted for an exam which was very easy to get a high score
However some may get a low score

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11
Q

A way to remember positive and negative skew?

A

Left foot- negative skew
Right foot- positive skew

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12
Q

Positive skew example?

A

Look at distribution cure booklet

_______

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13
Q

Negative skew examples?

A

Look at distribution cure booklet

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