Populations, samples and variables Flashcards

1
Q

What is a population?

A

people in the entire world. Samples should be representative of this

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2
Q

what is a sample?

A

a subset of a given population

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3
Q

Why do we take samples?

A

We can’t test everyone so we need to take a sample to infer information about the population

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3
Q

what is ‘cherry picking’?

A

modifying or subdividing categories in order to get better conclusions

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4
Q

what does a good sample contain?

A

sub-categories to ensure that the sample reliably represents the population

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5
Q

how should samples be designed?

A

so that each sub-group can be properly represented in the population

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6
Q

What is a variable?

A

a set of related events that can take on more than one value
dependant and independant

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7
Q

What is statistical inference?

A

determining how well a property of one variable can be predicted (inferred) by another variable

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8
Q

what are independent variables?

A

variables that are predictors
these are the variables that are manipulated

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9
Q

What are dependant variables?

A

variables that are predicted.
May depend on the IV

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10
Q

What are levels?

A

different categories within an IV are called levels e.g. vaccinated or not vaccinated

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11
Q

What are control variables?

A

variables that are kept a constant to prevent influences on the IV and DV

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12
Q

What are the four variable data types?

A
  • nominal
  • ordinal
  • interval
  • ratio
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13
Q

What is nominal data?

A

data that cannot be ordered or counted e.g. gender, country, occupation

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14
Q

What is ordinal data?

A

data that can be ordered but cannot be added or subtracted e.g. satisfaction rating from extremely dissatisfied to extremely satisfied.

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15
Q

What is Interval data?

A

data that can be ordered and their difference can be measured, but you cannot compute a ratio between the two values (no meaningful zero exists) e.g. exam mark, date, year.

16
Q

what is ratio data?

A

interval data that can take a ratio between the two (has a meaningful zero) e.g. distance, height, annual income