BIOEPI LAB 1

Question 1

• Broad field of mathematics and science.
• Involves collecting, analyzing, interpreting, and presenting data.
• Applicable to various domains such as economics, social sciences, engineering, and more.
• Focuses on general methods and techniques for data analysis

Answer 1

statistics

Question 2

• Specialized branch of statistics.
• Specifically applies statistical methods to biological, biomedical, and health-related data.
• Aims to understand and solve problems in
  medicine, biology, public health, and related fields.
• application of statistical tools and concepts in biological sciences and medicine

Answer 2

BIOSTATISTICS

Question 3

• organize, summarize, describe
• Describes the characteristics and properties of a particular group of people, places, or things
• Encompasses collection, organization, and
  presentation of data

Answer 3

DESCRIPTIVE STATISTICS

Question 4

• infer or predict
• Aims to draw broader conclusions
• Uses data gathered from a small portion of a larger group (sample) to make an inference or draw conclusion about the characteristics or attributes of a larger group (population)
• Includes analysis and interpretation of data
• This is where we perform estimations, test
  hypothesis, determine relationships among factors, and make predictions about the population on the basis of sample data

Answer 4

INFERENTIAL STATISTICS

Question 5

Why Study Statistics

Answer 5

● Data Interpretation
● Evidence-based practice
● Clinical Research
● Healthcare Economics
● Multidisciplinary Collaboration

Question 6

• Any collection of individual items or units that are subject of investigation

Answer 6

POPULATION

Question 7

• Sub-set that represents the group as a whole

Answer 7

SAMPLE

Question 8

• raw materials of statistics
• Values of the observations recorded for variables

Answer 8

DATA

Question 9

also known as categorical data, represents qualities, characteristics, or attributes that can be observed and categorized, but not measured numerically

Answer 9

QUALITATIVE DATA -

Question 10

• categories with no inherent order or ranking
  ○ Example: hair color, dog breeds

Answer 10

NOMINAL

Question 11

• ordered series of relationships
  ○ Example: performance rating scale, customer
  satisfaction survey

Answer 11

ORDINAL

Question 12

• also known as numerical data, involves measurable quantities represented as numbers

Answer 12

QUANTITATIVE DATA

Question 13

• aka Discrete, no true “zero” point
  ○ Example: pH level, Temperature

Answer 13

● INTERVAL

Question 14

• aka Continuous, there is a true “zero” point that indicates the absence of the measured quantity ○ Example: Distance, age

Answer 14

● RATIO

Question 15

• aka Continuous, there is a true “zero” point that indicates the absence of the measured quantity ○ Example: Distance, age

Answer 15

● RATIO