Module 8 Flashcards
Branch of mathematics dealing with the collection analysis, presentation, interpretation and conclusion of data
Statistics
A branch of statistics where statistical techniques are used on biomedical data to reach a conclusion
Biostatistics
An important step to communicate our information and findings to the audience and readers in an effective way
Data presentation
A collection of facts, such as values or measurements
Data
Two types of data
Constant
Variables
A situation or value that does not change
Constant
Five types of variables
Independent variables
Dependent variables
Moderator variables
Controlled variables
Intervening variables
Affects the value of another variables
Independent variables
May change due to change in the value of another variables
Dependent variables
Variables that affects the cause and effect relationship between the these two
Moderator variables
Variables that affects the cause-and-effect relationship between the independent and the dependent, is eliminated
Controlled variables
Variables that affects the cause-and-effect relationship between the independent and the dependent variables but either cannot be measured clearly or is to be ignored during research
Intervening variables
Four types of variables
Nominal
Ordinal
Discrete
Continuous
Variables for qualitative data
Nominal and Ordinal
Variables For quantitative data
Discrete and continuous
The data that show some quantity through numerical value
Quantitative variable
Quantitative data also called
Metric data
Values cannot be expressed or presented in the form of decimal
Discrete variable
Values and can be quantified and presented in decimals
Continuous variable
Process of gathering and measuring information
Data collection
One of the most important stages in conducting a research
Data collection
Two types of data collection
Primary data
Secondary data collection