Statistics Flashcards

1
Q

data analysis

A

relies on data collection

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2
Q

experimental design

A

helps design experiments, determines sample size, increases accuracy

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3
Q

hypothesis statement

A

provides ways to test hypothesis as to whether occur by chance

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4
Q

predictive modelling

A

used to predict

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5
Q

risk assessment

A

helps assess hazards

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6
Q

decision making

A

helps make decisions

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7
Q

consider 4 things when describing/summarising data

A

centrality, dispersion, replication, shape

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8
Q

centrality

A

average

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9
Q

dispersion

A

how spread out values are from average

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10
Q

replication

A

how many samples

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11
Q

shape

A

how evenly spread data is

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12
Q

measure of centrality/central tendency

A

compares differences between datasets

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13
Q

mean equation

A

x(-)= 3x/n

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14
Q

median equation

A

1/2(n+1)

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15
Q

n

A

how many samples there are (not sum)

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16
Q

x

A

value of all data

17
Q

measure of dispersion

A

standard deviation (s), variance (s(2))

18
Q

standard deviation

A

\/3(x-x(-))(2)/n-1

19
Q

variance

A

3(x-x(-))(2)/n, then square root

20
Q

what does interquartile range measure

A

data thats not normally distributed

21
Q

minimum, lower quartile, median, upper, maximum

A

0%, 25% 1st quartile, 50% 2nd quartile etc

22
Q

work out interquartile range

A

q3-q1

23
Q

confidence interval

A

probability something will fall between values around mean

24
Q

mean absolute deviation

A

measures how much values vary from mean

25
Q

qualitive data

A

ordinal, nominal

26
Q

quantitative data

A

discrete, continuous

27
Q

datum/cases

A

single value

28
Q

what makes histogram

A

group frequency table

29
Q

histogram

A

measures spread/location

30
Q

measure of spread

A

range/quartiles/standard deviation/variance

31
Q

measure of location

A

mean/median/mode

32
Q

right/left skewed

A

mean to right/left

33
Q

function

A

describes relationship between input/output

34
Q

input, output

A

(x), f(x)

35
Q

random variable

A

from random events, discrete/continuous, calculated by functions

36
Q

probability distribution

A

discrete, lists all random variable values and probability

37
Q

probability mass function

A

discrete, values between 0-1, sum of outcomes equal 1

38
Q

probability density function

A

continuous,, outputs are greater or equal 0, probability estimated under curve

39
Q

area under curve sums to

A

1