maths skills and cognitive random statistical bits Flashcards

(56 cards)

1
Q

what is a distribution

A

the way data is spread out

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2
Q

normal distribution

A

mean, median and mode are all at the midpoint

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3
Q

negatively skewed distribution

A
  • median and mean are lower than the mode
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4
Q

how is a negatively skewed distribution caused

A

some participants score much lower than most students

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5
Q

positively skewed distribution

A

median and mean are higher than the mode

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6
Q

how is a positively skewed distribution caused

A

a few students have scored much higher than most students

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7
Q

skewed distribution

A

caused by an outlier score which doesn’t fit the rest of the results

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8
Q

outlier

A

an extremely low/high score = unusual

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9
Q

type 1 error

A

when researchers think they have found a significant result but they haven’t
- rejects alternative hypothesis

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10
Q

type 2 error

A

when researchers think they have not found a significant result but they have

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11
Q

what do correlation studies investigate

A

whether there are relationships between different co-variables

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12
Q

positive correlation

A

as one co variable increases, the other co variable increases

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13
Q

negative correlation

A

as one co-variable increases, the other co-variable decreases

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14
Q

no correlation

A

there is no definite trend and that the 2 co-variables to not appear to be related to each other

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15
Q

what variables are used in correlational research

A
  • co-variables
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16
Q

research question

A

a broad question about the concept being investigated

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17
Q

research aim

A

identifying a more specific concept within the research question which the researcher wants to investigate

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18
Q

what do correlations investigate

A

relationships

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19
Q

what kind of data do correlations collect

A

ordinal
interval

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20
Q

ordinal data

A

rank data from highest to lowest, e.g rating

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21
Q

nominal data

A

counting the number of times something happens

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22
Q

interval data

A

measured in metric units

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23
Q

2 tailed correlational hypothesis

A

where there is a significant relationship between covariables but it doesn’t state whether it will be positive or negative - no direction

24
Q

1 tailed correlational hypothesis

A

states there will be a significant relationship between the co-variables and the direction of the correlation

25
null correlational hypothesis
there will not be a significant correlation and any relationship will be due to chance factors
26
primary data
data gathered directly from the participant/researcher
27
secondary data
data which has already been gathered by someone other than the researcher
28
how are correlations shown
as scattergraphs
29
issues with scattergraphs
- it wouldn't justify in concluding that co-variable x has had an effect on co-variable Y - can't justify in saying that a particular hypothesis can be retained or rejected - don't confused findings with conclusions
30
findings
raw data
31
conclusions
broad interferences you can make from the raw data
32
correlation co-efficient
a value between -1 and +1 which tells you about the direction/strength of a correlation
33
-1 correlation
perfect negative
34
-0.75 correlation
strong negative
35
-0.5 correlation
moderate negative
36
-0.25
weak negative
37
0
no correlation
38
+0.25
weak positive
39
+0.5
moderate positive
40
+0.75
strong positive
41
+1
perfect positive
42
positives of correlation studies
- tell us something new, if co-variables are related, we learn things from pre-existing data, tells us strength and direction of 2 co-variables - useful technique when either practical or ethical reasons mean variables can't be manipulated - good starting point for research, as once relationships have been established between co-variables more research can be conducted
43
disadvantages about correlations
- cause and effect isn't explained - doesn't state which co-variable is causing what effect - inferential statistical tests won't always pick up on a relationship between 2 co-variables even if there is a genuine pattern - only collects quantitative data
44
academic reports
- psychologists research can't be immediately put into a textbook, it must be put into a report which is published in a psychological journal - and all the reports follow the same structure
45
academic reports structure
abstract introduction method results discussion references appendices
46
abstract
allows readers to understand a study before reading full article - summarises research includes: aim, methods, results, conclusions
47
introduction
considers previous research in the area, links it to the study
48
how does an introduction start
by broadly discussing the area of interest, then finishes by justifying the hypothesis being studied
49
method
includes: sample experimental design materials procedure - helps to make the study as replicable as possible
50
results (AR)
contain raw data, descriptive statistics, inferential statistics and graphs with written explanations of results
51
discussion
- looks at what was found in the study, the implications of findings, and any limitations of the study - future research ideas may be discussed
52
references
- any work from other authors must be clearly referenced - this allows readers to easily find the referenced research
53
appendices
includes any relevant materials used for the study, could be tests, raw data, questionnaires, etc
54
what is a significant result
- if there's 95% of the same result or higher, a real effect is going on
55
measures of central tendency
mean median mode
56