EDA Flashcards
science that deals with the collection, organization, presentation, analysis
and interpretation of data
statistics
procedures that organize, summarize, and describe quantitative data
Descriptive Statistics
making a judgement or a conclusion about a population
Inferential Statistics
totality of objects, persons, places, things used in a particular study
Population or universe
facts, figures, and information collected on some characteristics of a
population or sample
- qualitative or quantitative
Data
raw data organized into groups or categories
- referred to as frequency distribution
Grouped Data
not organized in any specific way
- collected as gathered
Ungrouped Data
Methods on Obtaining Data
- Methods of Data Collection
- Planning and conducting Surveys
- Planning and conducting experiments
person who conducts the inquiry
Investigator
person who helps in collecting information
Enumerator
where information is collected
Respondent
investigator’s use from the primary source
Primary Data
- collected by some other organization for their own use
Secondary Data
use the population or sample of the historical data
Retrospective Study
- only observe the subjects and do not interfere
Observational Study
way to solve a problem areas with no scientific or engineering theory
Experiments Designed
method of asking respondents some well-constructed questions
- efficient way of collecting information
Survey
fewer misunderstood questions
● fewer incomplete responses
● higher response rates
● expensive and time consuming
● requires large staff of interviewers
Face to Face
less expensive, less pressure on respondents
● doesn’t require many interviewers
● lower response rates
Self-administer
- Determine the objectives of your survey
- Identify the target population sample
- Choose an interviewing method
- Decide what questions you will ask
- Conduct the interview and collect the information
- Analyze the results (graphs/conclusions)
STEPS ON DESIGNING A SURVEY
process of selecting units from a population or sample
Sampling
representative of the target population
Sample
sampling technique in which the researcher chooses samples from a larger
population using a method based on the theory of probability
- most critical requirement is that everyone in your population has a known and
equal chance of getting selected - gives the best chance to create a sample that is truly representative of the
population
Probability Sampling
basic sampling technique where a group of subjects ia selected for
study from a larger group
Simple Random Sampling