data analysis Flashcards

1
Q

what is the degrees of freedom calculation

A

df=(r-1)x(c-1)
r- rows
c- columns

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2
Q

what is qualitative data

A

non numerical data expressed in words

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3
Q

advantages and disadvantages of qualitative data

A

+ rich in detail
- difficult to analyse

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4
Q

what is quantitative data

A

numerical data

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5
Q

advantages and disadvantages of quantitative data

A

+ easier to analyse and identify patterns
- less detail

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6
Q

what is primary data

A

first hand data collected for the purpose of the investigation

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7
Q

what is secondary data

A

collected by someone other than the person conducting the research

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8
Q

advantages and disadvantages of primary data

A

+ directly relevant data= more valid
- requires more time and effort
- ethical consideration needing to be taken into account

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9
Q

advantages and disadvantages of secondary data

A

+ minimal effort and inexpensive and less time consuming
- unknown quality or relevance= less valid

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10
Q

what is nominal data

A

qualitative values usually tallied, frequency not able to rank
eg gender weather ethnicity marital status

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11
Q

what is ordinal data

A

scaled or ranked data
eg a score from 1-5

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12
Q

what is interval/ratio data

A

ranked data with equal measurement intervals
eg temperature time bank balance

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13
Q

what does measure of central tendency mean

A

a statistic that summarizes a set of data with a single value that represents the middle or center of the distribution

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14
Q

what does a measure of dispersion mean

A

the spread of data around a central value

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15
Q

examples of central tendency measures

A

mean, mode, median

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16
Q

examples of dispersion measures

A

range, standard deviation

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17
Q

what is standard deviation

A

a statistical measure that shows how spread out a set of scores are around the mean

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18
Q

advantages and disadvantages of using a mean

A

+ shows the average
+ more representative
- extreme values can cause a difference

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19
Q

advantages and disadvantages of using a mode

A

+ easier to calculate
- doesnt take into account the extreme values

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20
Q

advantages and disadvantages of using a median

A

+ unaffected by extreme values
+ easy to calculate
- doesnt take into account extreme values so less sensitive

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21
Q

advantages and disadvantages of using a range

A

+ easy to calculate
- dont know how spread out the scores are in a number set

22
Q

advantages and disadvantages of using standard deviation

A

+ more precise
+ more accurate picture of all the data
- can be distorted by outliers

23
Q

how to calculate mean

A

add all numbers up and divide by total amount of numbers

24
Q

how to calculate mode

A

the most frequent value

25
how to calculate median
the middle number in the data after they have be ranked ordered
26
how to calculate range
minus the biggest number from smallest
27
why would you use a bar chart
for nominal data
28
why would you use a histogram
continuous data (has no gaps)
29
what does a scatter graph show
relationship between data
30
what is distribution
overall pattern of data seen in a graph
31
how do you know its negative distribution
the mean is before the mode
32
how do you know its positive distribution
the mean is after the mode
33
what is a significance level
a measure of strength of evidence
34
what is teh usual significance level
p<0.05
35
when would psychologists use a harder significance level
when they want to challenge research
36
what does p<0.05 mean
95% sure the data is correct
37
what is a type 1 error
(false positive) reject the null hypothesis when shouldve accepted it
38
what is a type 2 error
(false negative) accepting a null hypothesis when shouldve rejected it
39
how can we remove the chances of a type 1 error
make the significance level stricter but it may increase type 2 error
40
how can we reduce a type 1 and 2 error
increase sample size
41
what is the acronym for deciding which test
carrots should come mashed with swede under roast potatoes (chi squared sign test chi squared, mann whitney wilcoxon spearmans, unrelated t realated t pearsons)
42
what are the steps on finding the critical value and if it is significant
1. directional or not hypothesis= one or two talied 2. use the df value and find number 3. use the information to see if the number should be equal or higher or lower 4. if matches information then it is significant
43
what test is a directional hypothesis
one tailed
44
what test is a non directional hypothesis
two tailed
45
what are the steps to calculate sign test
1. state alternative or null hypothesis 2. represent each pair of data with + - 0 3. calculate value of s (number of less frequent sign) 4. look up critical value in the table using it and other pieces of data 5. compare critical and calculated value and follow rule given to you 6. accept/ reject hypothesis if the result is significant
46
What main headings should a formal write up have
Title Abstract Introduction Method- design, materials, participants,procedure,ethical issues Results Discussion References Appendices
47
What does an abstract on a formal write up include
aim of investigation, brief explanation and hypothesis
48
What does an introduction in a formal write up include
Why you carried out investigation Background knowledge on the subject Overall aim of the study Hypothesis type
49
What is included in the results section of a formal write up
Summary table and graph Basic statistics but not explained Justification of the statistical test used
50
What is included in the discussion section of a formal write up
Explanation of results Comment on graph Note any possible sources of error Any corresponding modifications
51
What is the order that referencing information has to go in
Author Year Title Edition Place Publisher