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stats Flashcards

1
Q

what is the explanatory variable

A

the independent variable - x axis - change easily

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2
Q

what is the response variable

A

y axis - something we measure

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3
Q

when is a binomial distribution/approx valid in normal distribution

A
  • number of trials (n) must be large
    -probability of success (p) must be close to 0.5
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4
Q

what must a binomial distribution have

A
  • a fixed number of trials
    -two possible outcomes
    -trials are independent
    -fixed probability of success
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5
Q

what does discrete uniform probability mean

A

all probability is the same

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6
Q

when do we fail to reject h0 (CRITICAL REGION/VALUE)

A

not in the boundary

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7
Q

when do we reject h0 (CRITICAL REGION/VALUE)

A

in the boundary

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8
Q

what is a census and its adv and disadv

A
  • measures every member of the population

adv - more accurate
disadv - wastes lots of time and money

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9
Q

what is a sample and its adv and disadv

A
  • a selection of a subset of the population

adv- less data to process
disadv- may not be as accurate

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10
Q

what is simple random sampling

A

every sample has equal chance of being selected

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11
Q

what is systematic sampling

A

the required elements are chosen at regular intervals from an ordered list - the starting point is chosen randomly

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12
Q

what is stratified sampling

A

used to select a sample that is representative of different groups

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13
Q

what is the equation for stratified sampling

A

number sampled = (num in stratum/num in pop) x 100

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14
Q

what is quota sampling

A

selects a sample that reflects the characteristics if the whole pop

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15
Q

what is opportunity sampling

A

taking the sample only from items or people available at the time of the study and who fit the criteria being looked for

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16
Q

is simple random sampling random or non random

A

random

17
Q

is systematic sampling random or non random

A

random

18
Q

is stratified sampling random or non random

A

random

19
Q

is quota sampling random or non random

A

non random

20
Q

is opportunity sampling random or non random

A

non random

21
Q

what data is qualative

A

letters

22
Q

what data is quantative

A

numbers

discrete - specific amount - eg shoe size

continuous - can go to any decimal - eg length

23
Q

is the median affected by extreme values and outliers

A

no

24
Q

what is the mean affected by

A

extreme values and outliers

25
Q

what do i input in the calculator as the x value in a frequency table

A

the midpoint

26
Q

do we ignore the add and subtract in coding the standard deviation

A

yes

27
Q

equations for histograms

A
  • area = class width x fd
  • f = k x fd
  • fd = f / cw
    -area = kf

maths (3 decks)

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