statistics Flashcards

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1
Q

name 4 different variables

A
  • interval
  • nominal
  • ordinal
  • ratio
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2
Q

what does nominal data consist of

A

discrete types of things (nouns)

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3
Q

what does ordinal data consist of

A

a ranked scale, e.g
- always, never, sometimes

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4
Q

what does interval data consist of

A

a numeric scale with NO TRUE ZERO VALUE

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5
Q

what is ratio data

A

numeric scale that includes ZERO

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6
Q

what is a numeric variable that is continuos with examples

A

can take any value in a certain set of values e.g temp, height, age

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7
Q

how are variables and values different

A

variable- the way that people in situations can vary
values- each instance has a single value for each variable

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8
Q

what is a numeric variable that is discrete with examples

A

can only take whole numbers e.g number of children

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9
Q

what kind of graph would be used for a numeric variable

A

histogram

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10
Q

what are three ways of reporting central tendency

A

mean, median, mode

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11
Q

what data used for nominal, ordinal, interval and ratio (mode, median, mean)

A

n- mode
o- mode and median
i- all
r- all

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12
Q

what are 4 variability measures (includes IQR)

A
  • range
  • inter quratile range
  • variance
  • standard deviation
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13
Q

what variability measure used in nominal, ordinal, interval and ratio

A

n- none
o- range and IQR
i- all
r- all

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14
Q

what units is variance in

A

cm2

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15
Q

what is s.d?

A

the square root of variance

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16
Q

categorical variables can be measured using…

A

nominal and ordinal scales

17
Q

numerical variables can be measured using….

A

interval or ratio scales

18
Q

what does s.d allow us to do?

A

see how spread out around the mean scores are in the data

19
Q

what plot is used for quantitative data

A

graphically- scatter plot

20
Q

qualitative data?

A

non- numerical info
- dont examine variables
- examines constructs, phenomonea and processes

21
Q

quantitative data?

A
  • numerical measures
  • allows stats to be calculated
  • observed through surveys, experiemnts etc
  • e.g weight, height, temp
  • finds trends, relationships and associations in data sets
22
Q

definition of a casual hypothesis

A

formal statement predicitng specific change in one thing will produce specific change in another

23
Q

why is there no independant variables in a correlational design

A

variables are not manipulated

24
Q

univariate data

A

info that involves only one variable, allows analysis of single aspect without considering other variables

25
Q

bivariate data

A

2 variable, allows examination of relationship between 2 variables

26
Q

how is nominal values displayed

A

bar chart

27
Q

how are ordinal values displayed

A

bar chart

28
Q

what are interval values displayed

A

histogram

29
Q

how are ratio values displayed

A

histogram

30
Q

what is definition of variance

A

squared avergae distance between mean of all values in the data sample and the scores

31
Q

what is s.d

A

square root of variance

32
Q

in categorical data what 2 types of ways can you display this

A

-table cross tabulation
and
- bar chart

33
Q

in quantitaive data what way can you show data

A

scatter plot