16 - Averages and the normal distribution Flashcards

1
Q

grouped data definition

A

where the frequency is shown in terms of a range

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2
Q

ungrouped data definition

A

individual data points

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3
Q

how to find mode from grouped data (most commonly in a histogram)

A

identify highest frequency class, draw diagonal line from top of block to either side of the highest class
intercept = estimated modal value readable from x axis

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4
Q

how to find median from an ogive

A

median rank = cumulative total of the variable / 2

then look across y axis at this rank

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5
Q

advantages and disadvantages of mean

A

+
- used frequently
- understood
- uses all data

  • may not be value in distribution
  • distorted by extreme high low values
  • ignores dispersion
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6
Q

advantages and disadvantages of mode

A

+
- not distorted by high/low values
- corresponds to actual value in data

  • ignores dispersion
  • doesnt take all data into account
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7
Q

advantages and disadvantages of median

A

+
- not distorted by high/low values
- corresponds to actual value in distribution

  • ignores dispersion
  • limited use
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8
Q

what is dispersion

A

method of determining location or central point of distribution

shows the spread of a variable about its average

standard deviation is a measure of dispersion, larger the SD, more dispersed the data is

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9
Q

what is x in grouped data

A

the mid point

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10
Q

how to work out fx2 (squared)

A

frequency multiplied by x2

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11
Q

what is the coefficient of the variance

A

standard deviation as a % of the mean - higher %, higher dispersion

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12
Q

properties of standard deviation

A
  • based on all values in distribution
  • suitable for further statistical analysis
  • more difficult to understand
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13
Q

what is variance

A

square of standard deviation

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14
Q

what is range and quartiles

A

RANGE = measure of spread between highest and lowest values

QUARTILES = divide distribution into quarters

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15
Q

interquartile range

A

Q3 - Q1

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16
Q

quartile deviation

A

1/2 (upper quartile - lower quartile)

17
Q

decile

A

distribution in 1/10ths

18
Q

normal distribution

A

distribution symmetrical around the mean - important as it arises in real life

19
Q

reason for bell shape

A

higher concentration closer to mean and lower away from mean

is always symmetrical and either side represents 50%

20
Q

what is the total area under the curve

A

100% of population

21
Q

properties of normal distribution

A
  • width is measured as standard deviation, 3 standard deviations on each side of mean
  • range is 6 standard deviations
22
Q

what is a Z score

A

distance from the mean in the normal distribution measured by number of standard deviations they represent

eg,
translates 1.9 standard deviations away from the mean into a % away from mean

23
Q

adjustment factor formula

A

standard class width / current class width

24
Q

how to find the likelihood of something from raw numbers

A
  1. identify z score using formula given of x - mean / SD
  2. read off the table to find the % within that z score
  3. manipulate figure to find out what q is asking eg, more, less or between
25
Q

how to find the value of x when given a % above or below

A
  1. identify what z score to find, eg if we are finding 80% above, we need to find a z score from 30% (50% already accounted for by the mean)
  2. find z score with this % then substitute into the formula
  3. solve formula to find x