correlations

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what is a correlation
a relationship between 2 variables
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what is a positive correlation
as one variable increases another variable increases
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what is a negative correlation
as one variable increases the other decreases
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what is no correlation
there is no relationship between the two variables
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what is a correlation coefficient
number/measurement from -1 to +1 to measure the strength and direction of a relationship
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what are the strengths of correlations
Can suggest ideas for experimental studies. Makes use of existing data, quick, economical and easy. they provide a precise and quantifiable measure. suggest ideas for possible future studies. used as starting point.no need for controlled environment
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what are the weakness of correlations
only says how variables are related but not why. just states a relationship. cannot demonstrate cause and effect. untested variable is causing the relationship between the two,there may be a third variable. hence correlations can be misused.
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alternate 1 tailed:
there will be a significant relationship between...
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alternate 2 tailed:
there will be a significant positive/negative correlation between...
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Null:
there will be no correlation between [...] any correlation will be due to chance
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mean
adding all number and dividing it but how many numbers there are
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strength of mean
makes use of all values- most representative data
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weakness of mean
unrepresentative if contains extreme values
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Mode
the most common number
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Strength of mode
used with any data type
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Weakness of mode
not useful for small data types, not useful if there are various which meet criteria
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range
taking away the largest number by the smallest
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strength of range
easy to calculate
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weakness of range
unaffected extreme values, doesn't indicate how widely or tightly spread of data is
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median:
ordering the number from smallest to largest and finding the middle number
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strength of median
unaffected by extreme values
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weakness of median
not all values represented
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standard deviation
calculates distance of a score from its group mean
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strength of standard deviation
more precise than range as all data accounted for. allow researcher to know how much scores vary amongst themselves.
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weakness of standard deviation
difficult to calculate
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normal distribution
most values in set of data close to mean while very few examples tend to 1 extreme or the other
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scattergraph
points plotted between 2 co-variables to see if there's a relationship between them
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Other cards in this set

Card 2

Front

what is a positive correlation

Back

as one variable increases another variable increases

Card 3

Front

what is a negative correlation

Back

Preview of the front of card 3

Card 4

Front

what is no correlation

Back

Preview of the front of card 4

Card 5

Front

what is a correlation coefficient

Back

Preview of the front of card 5
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