biostatistics

Biostatistics

Deals with the collection organization, presentation, analysis and interpretation of data

Applied to the biological sciences

Descriptive and inferential statistics

Two main division of statistics

Descriptive statistics

Organize, summarize, and describe quantitative data ( tables, graphs, charts, average, measure of spread) for example finding bp of 200 patient using their sex frequency percentage

Inferential statistics

Deals making judgment or a conclusion about POPULATION >example testing if a NEW drug lowers cholesterol compared to an EXISTING one

Population

the entire group of individual or items being studied

>example all patient in a hospital

Sample (sampling)

A representative of the population selected for study

Variable

Characteristics that can vary(Saba-sabali)

-example height, weight, bp

Data

Values collected from observation or measurement

Parameter

Describes population example population measurement

example: population measurement

Statistics

Describes a sample

example measures

example measures

Qualitative and quantitative

Two types of variable

Qualitative

Non-numeric attributes

Classify or categorize data

Or called categorical variables

Ex: sex, civil status, religion, birthing center or pain management references including epidural, natural methods, medication

Quantitative variable

Measured or counted

Allow for mathematical operation

Called numerical variable

In quantitative data has two continuous(measure) and discrete (counted)

-Testing new medication (to test a new iron supplement for a pregnant woman with anemia

- studying disease spread (or data how many pregnant have dengue)

- improving health care practices (number of cesarean delivers versus normal birth)