Lecture 2 Descriptive Statistics Flashcards

1
Q

3 measures of central tendency?

A
  1. Mean
  2. Median
  3. Mode
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2
Q

What is skewness

A

A measure of symmetry/ the lack of symmetry

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3
Q

What is kurtosis

A

a measure of whether the data are heavy-tailed or light-tailed relative to a normal distribution

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4
Q

2 measures of variability

A
  1. Standard deviation

2. variance

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5
Q

What is percentile

A

A measure indicating the value below which a given % of observations in a group of observations fall e.g.the 20th percentile is the value (or score) below which 20% of the observations may be found.

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6
Q

What is a normal frequency distribution

A
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7
Q

How does the mean, mode, and median in a normal distribution compare

A

Equal to one another

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8
Q

When do you use mean, mode or median?

  • Height
  • Skinfolds (positively skewed)
  • House prices in Vancouver
  • Measurements (criterion value)
    • > Objective test
    • > Anthropometry
    • > Vertical jump
    • > 100m run time
A

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9
Q

What is standard deviation

A

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10
Q

What is variance

A
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11
Q

What is nonparametric

A

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12
Q

What is the central limit theorem

A

If a sufficiently large number of random samples of the same size were drawn from an infinitely large population, and the mean (average) was computed for each sample, the distribution formed by these averages would be normal.

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13
Q

What is the standard error of mean

A

Describes how confident you are that the mean of the sample is the mean of the population

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14
Q

What is the Z score equation

A

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15
Q

Internal norm vs. external norm?

A

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