A Vocabulary Flashcards

1
Q

how close to the true value your measurements or estimates are (ex. shots spread around bullseye)

A

Accuracy

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2
Q

typically discrete

A

Character

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3
Q

variable that can take on any value in a range (not necessarily whole numbers) (ex. mass)

A

Continuous variable

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4
Q

control variable you can measure but not control

A

Covariate

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5
Q

a collection of observations of the same variable

A

Data

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6
Q

an individual observation of a variable

A

Datum

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7
Q

variable that experiment seeks to explain

A

Dependent variable

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8
Q

describes data

A

Descriptive statistics

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9
Q

nominal variables that only have two categories (ex. dead or alive)

A

Dichotomous variable

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10
Q

measured in whole numbers (ex. eggs in a nest)

A

Discrete variable

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11
Q

variable thought to influence/ control dependent variable

A

Independent variable

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12
Q

statements about data

A

Inferential statistics

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13
Q

consistent scale of measure, negative values possible (meaningLESS 0), such degrees Fahrenheit, Celsius, IQ

A

Interval

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14
Q

the process of systematically assigning numbers (or other descriptors) to objects or their properties (ex. occupied or not, colors, etc.)

A

Measurement

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15
Q

a sample that does not accurately represent the population (ex. measuring fish lengths but net holes are large so smaller fish are lost)

A

Measurement bias

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16
Q

variable scale including names, colors, sex, species, etc.

A

Nominal

17
Q

when you have two competing theories theories that make exactly the same predictions, the simpler one

A

Occam’s Razor

18
Q

variable scale including ranks, such as tallest, heaviest, etc.

A

Ordinal

19
Q

the true value of some aspect of a variable for a population

A

Parameter

20
Q

the simplest explanation (hypothesis) consistent with the data

A

Parsimony

21
Q

all of the possible observations for the variable of interest

A

Population

22
Q

how repeatable your measurements or estimates are

A

Precision

23
Q

measured categorically

A

Qualitative variable

24
Q

measured numerically

A

Quantitative variable

25
Q

every measurement in the population has an equal chance of being in the sample

A

Random

26
Q

consistent scale of measure, negative values not possible (meaningFULL 0), such as Kelvin, lengths, mass, etc.

A

Ratio

27
Q

a subset of the population used to represent the population

A

Sample

28
Q

an estimate of a parameter derived from a sample

A

Statistic

29
Q

a statistical that consistently overestimates or underestimates a parameter

A

Statistical bias

30
Q

the collection, organization, analysis, interpretation, and presentation of data

A

Statistics

31
Q

the property being measured or of interest

A

Variable

32
Q

the process of specifying how a concept will be defined and measured

A

Operationalization

33
Q

a variable used to represent another variable that might be difficult/ expensive to measure (ex. BAC)

A

proxy variable

34
Q

may be independent or dependent

A

factor