Lecture 5: The Normal Distribution, Z-scores, And Percentiles Flashcards

1
Q

What’s a normal distribution? (Describe shape and characteristics!)

A

A type of bell shaped, symmetric, unimodal distribution

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2
Q

Give examples of common variables in nature that have an approximately normal distribution

A
  • Height
  • Resting HR
  • Weight
  • Body temperature
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3
Q

Give examples of test instruments that are deliberately calibrated so scores have an approximately normal distribution

A
  • IQ Scores
  • SAT scores
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4
Q

In the normal distribution the mean, median, and mode are _____?

A

THE SAME!!

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5
Q

Whats the z-score?

A

The number of standard deviations from the mean away

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6
Q

How to convert to a z-score?

A

Subtract the mean from the value than divide the result by the standard deviation!

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7
Q

How to convert from a z-score to a value on the original scale of the variable?

A

Multiply the z-score by the standard deviation and add the mean to the result!

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8
Q

Where is 1 standard deviations from the mean located on a normal curve?

A

AT THE INFLECTION POINT! - Where the curve switches between more cupped-up and more cupped-down

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9
Q

Whats the approximate percentages of values in between -1 to 1 standard deviations from the mean

A

68%

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10
Q

Whats the approximate percentages of values in between -2 to -1 or from 1 to 2 standard deviations from the mean?

A

13.5%

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11
Q

Whats the approximate percentage of values that is lower than -2 or higher than 2 standard deviations of the mean?

A

2.5%

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12
Q

How much percentage of values are above -2 and below 2 standard deviations of the mean?

A

95%!

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13
Q

What are percentiles?

A

Percentiles express what percentage of scores are below a given score eg.

  • 90th percentile is the score higher than 90% of scores
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14
Q

What’s the 50th percentile?

A

The score that is higher than 50% of scores but ALSO the MEDIAN!

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