A Vocabulary Flashcards

(34 cards)

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.

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.

19
Q

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

20
Q

the simplest explanation (hypothesis) consistent with the data

21
Q

all of the possible observations for the variable of interest

22
Q

how repeatable your measurements or estimates are

23
Q

measured categorically

A

Qualitative variable

24
Q

measured numerically

A

Quantitative variable

25
every measurement in the population has an equal chance of being in the sample
Random
26
consistent scale of measure, negative values not possible (meaningFULL 0), such as Kelvin, lengths, mass, etc.
Ratio
27
a subset of the population used to represent the population
Sample
28
an estimate of a parameter derived from a sample
Statistic
29
a statistical that consistently overestimates or underestimates a parameter
Statistical bias
30
the collection, organization, analysis, interpretation, and presentation of data
Statistics
31
the property being measured or of interest
Variable
32
the process of specifying how a concept will be defined and measured
Operationalization
33
a variable used to represent another variable that might be difficult/ expensive to measure (ex. BAC)
proxy variable
34
may be independent or dependent
factor