Descriptive statistics Flashcards

1
Q

Frequency Distribution

A

A count of the number of occurrences of each different value in the data set

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2
Q

Two steps to make a frequency distribution

A
  1. count the number of occurrences (frequency) of each value of the dependent variable
  2. Make a graph
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3
Q

Class interval

A

Clusters of data when there is a large range of values

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4
Q

Exact limits

A

The limits continuous variables fall between. They are half a unit below and half a unit above the values of the class intervals

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5
Q

Normal distribution

A

A symmetric frequency distribution

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6
Q

Measures of central tendency

A

summerise a data set with a single value that is representative of the data set

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7
Q

Variability

A

the extend to which things are not all the same

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8
Q

Measures of variability

A

measure how scores differ from one another

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9
Q

Variance

A

S^2

the Sum of squared deviations from the mean decided by the number of scores

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10
Q

Standard deviation

A

square root of the variance

approximately the average distance of the scores in a data set from the mean

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11
Q

Inflection point

A

the point where the curve starts bending outwards

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12
Q

Normal distributions inflection point

A

It is always 1 sd away from the mean

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13
Q

68% of the scores of the normal distribution

A

are within +/-1sd

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14
Q

96% of the scores of the normal distribution

A

are within +/-2sd

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15
Q

99.7% of the scores of the normal distribution

A

are within +/-3sd

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16
Q

Z-scores

A

tell us how far away a score is from the mean, taking into account the variability of the scores in the data set, expressed as the number of sd the score is away from the mean

17
Q

Area under the normal distribution curve

A

is bonded by two values and equals the relative frequency or proportion of cases between these two values

18
Q

three steps to determine the proportion of scores compared to the individual score:

A
  1. calculate the Z-score
  2. draw a picture of the curve
  3. look up the value of Z in the Z-table to find the ralative position of the individual socre
19
Q

how is the Z-distribution obtained?

A

by converting every data element to itsZ-score

20
Q

What are the Z-distribution’s properties?

A
  • it is normal
  • has a mean of zero
  • has sd of 1