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Reserch methods lecture 5; Sampling Flashcards | StudBud
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Reserch methods lecture 5; Sampling
type/s of Non-probability sampling
Z-score (maths)
Reserch methods lecture 5; Sampling
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Reserch methods in psych
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Answers
1
Z-score (maths)
z-score= (score-mean)/SD
z-score= (mean-score)/SD
(Score-SD)/mean
(SD-score)/mean
2
type/s of Non-probability sampling
quote sampling
snow sampling
Opportunity sampling
all of the above
3
Stratified sampling
members of the sample select further members for the sample
dividing the population into strata and select from strata
probability of selecting each population member is equal
4
Random sampling
dividing the population into separate representative groups
the probability selecting each population member is unequal
resercher selects who to use in the sample
the probability of selecting each population member is equal
5
representative sample
:
Subgroups are represented unfairly
subgroups appear in numbers larger/smaller than population
subgroups are represented similarly to their population size
subgroups are represented equally
6
z-score
numerical value indicating the normality of the data
numerical value indicating how many SD a score is from mean
indicates how far the range is from the interquartil range
indicates how far the median is from the mode
7
what occurs if P=0
The outcome has a chance of happening
The outcome has a chance of not happening
The outcome definitely will happen
the outcome definitely will not happen
8
what is p
statistical value
numerical value indicated the preportion of data
numerical value indicating the frequency
numerical value indicating the likelihood of an outcome
9
snowball sample
members of the sample select further members for inclusion
members of population selected as they are easily available
members of the population select themselves to be in sample
10
Sampling
numerical value indicating the likelihood of an outcome
the wider amount of people being investigated
methods for inferring population info from sample info
methods for selecting a subset of members from a population.
11
what occurs if p=1
the outcome will definitely not happen
the outcome might not happen
The outcome might happen
The outcome will definitely happen
12
inferential statistics
:
summarise data from a sample
all of the above
methods for inferring sample info from population info
methods for inferring population info from sample info
13
Type/s of probability sampling
statified sample
Cluster sample
all of the above
Random Sample
14
z-score >0
below the mean
above the mean
Equal to the mean
15
probability (maths)
p =frequency of outcome divided by occurrences of an outcome
p = occurrences of an outcome divided by possible outcomes
p = possible outcomes divided by frequency of out come
p = possible outcomes divided by occurrences of an outcome
16
Population
the entire group of entities under investigation
the people who are in the sample
the subset of members investigated
The entire group of people under investigation
17
z-score < 0
above mean
Equal to the mean
below mean
18
Normality
no-skew
all of the above
Uni-model
Symmetric
