Introduction to Biostatistics Flashcards

1
Q

Branch of Mathematics that examines and investigates ways to process and analyze the data gathered.

A

Statistics

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2
Q

Concerns the development of new methods of statistical inference and requires detailed knowledge of abstract mathematics for its implementation.

A

Mathematical statistics

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3
Q

Branch of applied statistics that applies statistical methods to medical and biological problems.

A

Biostatistics

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4
Q

Totality of methods and treatments employed in the collection, description, and analysis of numerical data.

A

Descriptive Statistics

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5
Q

The purpose of of this statistics is to tell something about a particular group of observations.

A

Descriptive Statistics

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6
Q

Logical process from sample analysis to a generalization or conclusion about a population.

A

Inferential Statistics

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7
Q

Also called as “STATISTICAL INFERENCE OR INDUCTIVE STATISTICS”

A

Inferential Statistics

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8
Q

Consists of all the members of the group about which one wants to draw a conclusion.

A

Population

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9
Q

It is a portion, or part of the population of interest selected for analysis.

A

Sample

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10
Q

Data that comes from an original source and is intended to answer specific research questions, can be taken by interview, mainly in questionnaire, survey, or experimentation.

A

Primary data

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11
Q

Data that is taken from previously recorded data, such as information in research conducted, industry financial statements, business periodicals, and government reports.

A

Secondary data

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12
Q

2 types of Data

A
  1. Qualitative Data
  2. Quantitative Data
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13
Q

Data in form of words.

[types of data]

A

Qualitative Data

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14
Q

Variable that is conceptualized and analyzed as distinct categories, with no continuum implied.

[types of data]

A

Qualitative Data

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15
Q

Also termed “CATEGORICAL VARIABLE”

[types of data]

A

Qualitative Data

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16
Q

Observation that are put in the same or different classes, each class being considered as possessing some common characteristics that is not shared by those in other class.

[types of data]

A

Qualitative Data

17
Q

Data in form of Numbers.

[types of data]

A

Quantitative Data

18
Q

Variable that is conceptualized and analyzed along a continuum implied.

[types of data]

A

Quantitative Data

19
Q

It differs in amount of degree.

[types of data]

A

Quantitative Data

20
Q

Also termed “NUMERICAL VARIABLE”

[types of data]

A

Quantitative Data

21
Q

Variates that yield frequencies when counted, giving discrete variable or when measured yield matric or continuous variable.

[types of data]

A

Quantitative Data

22
Q

2 types of Quantitative

A
  1. Discrete
  2. Continuous
23
Q

Variables controlled by the experimenter or researcher and is expected to have an effect on the behavior of the subjects.

[Variable — Experimental Classification]

A

Independent Variable

24
Q

Also called as “EXPLANATORY VARIABLE”

[Variable — Experimental Classification]

A

Independent Variable

25
Q

Measure of the behavior of subjects and expected to be influenced by the independent variable.

[Variable — Experimental Classification]

A

Dependent Variable

26
Q

Also called as “OUTCOME VARIABLE”

[Variable — Experimental Classification]

A

Dependent Variable

27
Q

2 types of Variable — Experimental Classification

A
  1. Independent Variable
  2. Dependent Variable
28
Q

Variable which can assume any of an infinite number of values and can be associated with points on a continuous line interval.

[Variable — Mathematical Classification]

A

Continuous Variable

29
Q

Variable which consists of either a finite number of values or countable number of values.

[Variable — Mathematical Classification]

A

Discrete Variable

30
Q

2 types of Variable — Mathematical Classification

A
  1. Continuous Variable
  2. Discrete Variable