T4: Measures Of Variability Flashcards

1
Q

What is the measure of central tendency?

A

Summarises a dataset with a single value that is representative of the dataset

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2
Q

What are the roles of measures of variability?

A

Inferential statistics and descriptive statistics

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3
Q

What are inferential statistics?

A

Amount of variability effects the kind of statements we can make about our population

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4
Q

What are descriptive statistics?

A

Variability is an interesting dataset in itself

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5
Q

What are the three numerical measures of variability?

A

The range, variance, standard deviation

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6
Q

What is the mean deviation and how do you calculate it?

A

The difference of any score from the mean and always sum to 0

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7
Q

How do you calculate the mean and mean deviation?

A

All scores % amount of scores and to calculate the mean deviation it is score % mean

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8
Q

What is the variance?

A

Sum of squared deviations from the mean divided by the # of scores

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9
Q

How do you get variance (squared) to its original unit of measurement?

A

Take the square root of the variance by doing the standard deviation (S)

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10
Q

How to calculate the standard deviation?

A

The average distance of the scores in a date set from their mean

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11
Q

What is the inflection point?

A

Where the curve bends outwards and it is always 1 SD from the mean

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12
Q

How do we determine a persons relative rank in the distribution?

A

Know their individual score, mean of the sample and standard deviation

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13
Q

What does the Z score tell us?

A

How far away a score is from the mean and it allows us to interpret score in terms of relative standing, variability, by comparing with the standard normal curve

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14
Q

What is the standard normal curve described by?

A

Units of standard deviation

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15
Q

How can we determine what proportion of scores are less or more than the individual score?

A

Calculate the Z score
Draw a picture
Look up value of z on z-table to find the relative individual value

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16
Q

For a z-distribution if we convert to z-value it will always have these same properties…

A

It is normal
individual score = 0
s = -1

17
Q

What are z scores used (as descriptives) to do?

A

Find the relative position of a data element in its distribution
Allow comparisons between scores from different distributions

18
Q

What do we compare across different distributions?

A

Interpret the score in terms of

relative standing and variability