Chpt 1: Statistics and Samples Flashcards

1
Q

What is a population?

A

All individuals in the world

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2
Q

What is a sample?

A

A subset of a population that we collect and analyze

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3
Q

What is a parameter?

A

Something that describes a population

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4
Q

Do we always know the parameters of a population?

A

No, but we can use estimates from samples to get a sense of a populations parameters

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5
Q

Are parameters fixed?

A

Yes, parameters are constant

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6
Q

Are estimates fixed?

A

No, they are random variables and change from one sample to the next within the same population

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7
Q

What is sampling bias?

A

When there is a systematic difference between estimates and parameters

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8
Q

What is sampling error?

A

When there is an undirected deviation of estimates away from parameters (sampling error is indicative of precision; the lower the sampling error, the higher the precision)

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9
Q

When does sampling bias arise?

A

When the sample is not truly representative of a population ex. The 1936 election results vs questionnaire results

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10
Q

What makes a good sample?

A

When each member of a population has an independent and equal chance of being selected

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11
Q

What are the two major types of variables?

A

Numeric and Categorical

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12
Q

What are the two types of numeric variables?

A

Discrete and Continuous

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13
Q

What is a discrete variable?

A

A variable that can only take some values ex. Age

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14
Q

What is a continuous variable?

A

A variable that can take any value ex. Core body temperature

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15
Q

What are the two types of categorical variables?

A

Ordinal and Nominal

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16
Q

What is an ordinal variable?

A

A variable that can be ranked ex. Snakebite severity scale

17
Q

What is a nominal variable?

A

A variable that cannot be ranked ex. Sex chromosome genotype

18
Q

What is the frequency distribution?

A

The number of times a value occurs in a sample

19
Q

What is the probability distribution?

A

The proportion of the population with a value ( the real probability distribution of a population is almost never known, they are often estimated)

20
Q

What is an experimental study?

A

When researchers assign treatments to individuals

21
Q

What is an observational study?

A

When the researchers do not assign treatments to individuals

22
Q

In which type of study can cause and effect or causation be proven?

A

Only in experimental studies, not in observational studies

23
Q

What are confounds?

A

They are variables that are not considered in an experimental study and may potentially drive an association