Introduction to Biostatistics Flashcards
Branch of Mathematics that examines and investigates ways to process and analyze the data gathered.
Statistics
Concerns the development of new methods of statistical inference and requires detailed knowledge of abstract mathematics for its implementation.
Mathematical statistics
Branch of applied statistics that applies statistical methods to medical and biological problems.
Biostatistics
Totality of methods and treatments employed in the collection, description, and analysis of numerical data.
Descriptive Statistics
The purpose of of this statistics is to tell something about a particular group of observations.
Descriptive Statistics
Logical process from sample analysis to a generalization or conclusion about a population.
Inferential Statistics
Also called as “STATISTICAL INFERENCE OR INDUCTIVE STATISTICS”
Inferential Statistics
Consists of all the members of the group about which one wants to draw a conclusion.
Population
It is a portion, or part of the population of interest selected for analysis.
Sample
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.
Primary data
Data that is taken from previously recorded data, such as information in research conducted, industry financial statements, business periodicals, and government reports.
Secondary data
2 types of Data
- Qualitative Data
- Quantitative Data
Data in form of words.
[types of data]
Qualitative Data
Variable that is conceptualized and analyzed as distinct categories, with no continuum implied.
[types of data]
Qualitative Data
Also termed “CATEGORICAL VARIABLE”
[types of data]
Qualitative Data
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]
Qualitative Data
Data in form of Numbers.
[types of data]
Quantitative Data
Variable that is conceptualized and analyzed along a continuum implied.
[types of data]
Quantitative Data
It differs in amount of degree.
[types of data]
Quantitative Data
Also termed “NUMERICAL VARIABLE”
[types of data]
Quantitative Data
Variates that yield frequencies when counted, giving discrete variable or when measured yield matric or continuous variable.
[types of data]
Quantitative Data
2 types of Quantitative
- Discrete
- Continuous
Variables controlled by the experimenter or researcher and is expected to have an effect on the behavior of the subjects.
[Variable — Experimental Classification]
Independent Variable
Also called as “EXPLANATORY VARIABLE”
[Variable — Experimental Classification]
Independent Variable
Measure of the behavior of subjects and expected to be influenced by the independent variable.
[Variable — Experimental Classification]
Dependent Variable
Also called as “OUTCOME VARIABLE”
[Variable — Experimental Classification]
Dependent Variable
2 types of Variable — Experimental Classification
- Independent Variable
- Dependent Variable
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]
Continuous Variable
Variable which consists of either a finite number of values or countable number of values.
[Variable — Mathematical Classification]
Discrete Variable
2 types of Variable — Mathematical Classification
- Continuous Variable
- Discrete Variable
