Data distribution Flashcards

1
Q

How will a histogram look with more variation?

A

Wider histogram

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2
Q

What are the 3 distribution skews for histograms?

A

Negative, positive and normal distribution

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3
Q

How will a negative skew look?

A

Bump to right

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4
Q

How will a positive skew look?

A

Bump to left

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5
Q

What do histograms show?

A

A probability distribution

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6
Q

What is the area underneath a histogram equal to?

A

1, or 100%

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7
Q

What are other names for normal distribution?

A

Gaussian or symmetrical

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8
Q

What relationship does a normal histogram distribution show about a variable and the mean?

A

The distribution of a variable within a population is symmetrical about the mean

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9
Q

How do the measures of central tendency look in normal histogram distribution?

A

Mean = median = mode

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10
Q

What s.d. does a small, pointy normal distribution show?

A

Smaller standard deviation

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11
Q

What s.d. does a larger, wider normal distribution show?

A

Larger standard deviation

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12
Q

What must you remember about normal distribution?

A

For a normal distribution, the proportion of values of a variable within any range can be calculated using the mean and the standard deviation.

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13
Q

What must you remember about normal distribution?

A

For a normal distribution, the proportion of values of a variable within any range can be calculated using the mean and the standard deviation.

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14
Q

68% values lie…

A

+/- 1 standard deviation
from the mean

So 34% is 1 s.d. on one side.

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15
Q

95% values lie…

A

+/- 1.96 standard deviations
from the mean

So 47.5% is 1.96 s.d. on one side.

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16
Q

99% values lie…

A

+/- 2.6 standard deviations
from the mean

So 49.5% is 2.6 s.d. on one side.

17
Q

99.7% values lie…

A

+/- 3 standard deviations
from the mean

So 49.85% is 3 s.d. on one side.

18
Q

What is the Z-score?

A

The number of standard deviations a value is away from the mean

19
Q

What can a Z-table tell you?

A

The proportion of values that are less than X, based on the Z-score calculated using the formula