presenting data Flashcards

1
Q

what do lab based experiments involve

A

series of repeating trials

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2
Q

what happens when you group up trials of different types

A

form different blocks

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3
Q

how do you avoid trial prediction

A

randomisation of trial order

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4
Q

why do we use graphical representations of data

A

before analyses to find outliers, skews, detect faults in experiments
view patterns and distributions in raw data

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5
Q

how can you present the data of one variable

A

frequency plots of bar graphs, pie charts, stem and leaf

box and whisker plots

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6
Q

how can you present the relationship between 2 variables

A

bar graphs
line graphs
scatterplots

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7
Q

how can you present multifactorial data

A

bar graphs

line graphs

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8
Q

what graphs can you use for nominal data

A

bar
frequency table
pie

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9
Q

what does a histogram do

A

shows shape of continuous data as move up scale from one category/value to next in order.

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10
Q

where does frequency go on a histogram

A

y axis

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11
Q

what do histograms do with data in the tables

A

pool data into bins

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12
Q

what else can you plot from the bins of histograms

A

cumulative frequency

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13
Q

what 5 things can you see on a box and whisker plot

A
median
IQR/spread
outliers
adjacent values
skew/symmetry
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14
Q

what is a fence

A

cutoff for outliers

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15
Q

what are adjacent values

A

most extreme values within fences

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16
Q

where are outliers located on a box and whisker plot

A

outside the fences

17
Q

what is univariate data

A

data coming from a single variable; data plotted represent distribution along that variable or for categories of that variable

18
Q

what is bivariate data

A

how one variable changes in relation to another; how DV changes in response to IV

19
Q

how do bar graphs work for bivariate data

A

DV on y axis

IV on x axis

20
Q

what do scatterplots do and how do they work

A

illustrate relationship btwn 2 continuous variables
outcome on y axis
predictor on x axis

21
Q

what is multifactorial data

A

changes on both axis