Intro Biometry Flashcards

1
Q

What type of statistic uses sample data and make inferences about a population
General to specific

A

Inferential statistics

inductive generalization

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2
Q

What are two components to applied statistics

A

Descriptive statistics

inferential statistics

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3
Q

What is ratio scale data

A

Data that has a constant interval size

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4
Q

Data set where zero is real

A

Ratio scale data

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5
Q

Data that is continuous or discontinuous

A

Ratio scale data

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6
Q

Data that is quantitative

A

Ratio scale data

Interval scale data

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7
Q

What is continuous data

A

Value that can take on any number depending on the measuring tool

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8
Q

What is discontinuous data (descrete meristic)

A

Data so I can only take on a certain value

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9
Q

4 driving fields the truth different type of statistical test

A

Agriculture
food and water quality pharmaceuticals
environmental sciences

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10
Q

What is descriptive statistics and whats important

A

Number descriptions detail significant figures of units

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11
Q

Statistic type showing range summary of data

A

Descriptive statistics

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12
Q

A specific set testicle test going from specific (sample data) to the general (population)
Specific to general

A

Inferential statistics

Inductive reasoning

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13
Q

How would you describe both nominal and ordinal scale data

A

Both data sets are qualitative
Nominal-no order (hair color)
Ordinal-order (grades, survey)

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14
Q

How do we draw conclusions?

A

Reliability of conclusions is based on probability

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15
Q

Biometry versus biostatistics

A

Interchangeable

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16
Q

D: Numbers numbers numbers in arrays or tables; figures

A

Statistics

17
Q

D: in common usage is synonymous with data

A

Statistics

18
Q

D: concerned with the mathematical elements of the subject ( theorems or proofs)

A

Theoretical or mathematical statistics

19
Q

D: a means to an end, traditionally used for descriptive purposes, organizing data summarizing data

A

Applied statistics

20
Q

D: deals with the tabulation of data, their presentation and calculation of descriptive values

A

Descriptive statistics

21
Q

D: making inductive generalizations that is using sample data to make inferences about a population

A

Inferential statistics

22
Q

D: The process of reasoning from the specific to the general

A

Inductive reasoning

Inferential

23
Q

D: The process of reasoning from the general to the specific

A

Deductive reasoning

24
Q

4 qualities of biological data

A

Variable
Being observed or measured
Qualitative versus quantitative
Independent versus dependent

25
Q

4 types of biological data

A

Ratio scale data
Interval scale data
Ordinal scale data
Nominal data

26
Q

D: Constant size interval zero is real, quantitative, months, counts weights, volume, time, continuous data and discontinuous/discrete or meristic data

A

Ratio scale data

27
Q

D: Constant interval size but no true zero quantitative, temperature (exceptions) Circular scalesy actual time of the day or year compass points

A

Interval scale data

28
Q

D: variable under consideration is classified based on a quality it possesses as opposed to numeric value; qualitative

A

Nominal scale data

29
Q

D: ordered or ring measurements qualitative

A

Ordinal data

30
Q

D: The nearness of a measurement to the actual value of the variable being measured

A

Accuracy

31
Q

D: The closeness to each other of repeated measurements of the same quantity

A

Precision