EDA Flashcards

1
Q

science that deals with the collection, organization, presentation, analysis
and interpretation of data

A

statistics

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2
Q

procedures that organize, summarize, and describe quantitative data

A

Descriptive Statistics

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3
Q

making a judgement or a conclusion about a population

A

Inferential Statistics

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4
Q

totality of objects, persons, places, things used in a particular study

A

Population or universe

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5
Q

facts, figures, and information collected on some characteristics of a
population or sample
- qualitative or quantitative

A

Data

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6
Q

raw data organized into groups or categories
- referred to as frequency distribution

A

Grouped Data

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7
Q

not organized in any specific way
- collected as gathered

A

Ungrouped Data

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7
Q

Methods on Obtaining Data

A
  1. Methods of Data Collection
  2. Planning and conducting Surveys
  3. Planning and conducting experiments
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8
Q

person who conducts the inquiry

A

Investigator

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8
Q

person who helps in collecting information

A

Enumerator

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9
Q

where information is collected

A

Respondent

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10
Q

investigator’s use from the primary source

A

Primary Data

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11
Q
  • collected by some other organization for their own use
A

Secondary Data

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12
Q

use the population or sample of the historical data

A

Retrospective Study

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13
Q
  • only observe the subjects and do not interfere
A

Observational Study

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14
Q

way to solve a problem areas with no scientific or engineering theory

A

Experiments Designed

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15
Q

method of asking respondents some well-constructed questions
- efficient way of collecting information

16
Q

fewer misunderstood questions
● fewer incomplete responses
● higher response rates
● expensive and time consuming
● requires large staff of interviewers

A

Face to Face

17
Q

less expensive, less pressure on respondents
● doesn’t require many interviewers
● lower response rates

A

Self-administer

18
Q
  1. Determine the objectives of your survey
  2. Identify the target population sample
  3. Choose an interviewing method
  4. Decide what questions you will ask
  5. Conduct the interview and collect the information
  6. Analyze the results (graphs/conclusions)
A

STEPS ON DESIGNING A SURVEY

19
Q

process of selecting units from a population or sample

20
Q

representative of the target population

21
Q

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
A

Probability Sampling

22
Q

basic sampling technique where a group of subjects ia selected for
study from a larger group

A

Simple Random Sampling

23
- obtained by taking samples from each stratum or sub-group of a population
Stratified Sampling
24
- sampling technique where the entire population is divided into groups or clusters, and a random sample of these clusters are selected - researchers divide a population into smaller groups known as clusters - often used to study large populations
Cluster Sampling
25
judgement or subjective sampling - convenient and economical but the inferences made based on the findings are not so reliable - not all members of the population have an equal chance of participating in the study - most useful for exploratory studies like a pilot survey
Non-probability Sampling
26
use a device in obtaining the information from the respondents which favors the researcher but can cause bias to the respondents
Convenience Sampling
27
selection is predetermined according to the characteristic of interest made by the researcher
Purposive Sampling
28
major characteristics of the population by sampling a proportional amount of each is represented
Proportional
29
bit less restrictive - process of selecting equal sized samples from subgroups if subgroup comparisons are required
Non-proportional
30
series of tests conducted in a systematic manner to increase the understanding of an existing process
Experiment
31
tool to develop an experimentation strategy that maximizes learning using minimum resources - widely and extensively used by engineers and scientists in improving existing process through maximizing the yield and decreasing the variability - technique needed to identify the “vital few” factors in the most efficient manner
Design of Experiments (DOE)
32
ensures that all factors and their interactions are systematically investigated resulting to reliable and
Methodology of DOE
33
5 STAGES OF METHODOLOGY OF DOE
planning Screening Optimization Robustness Testing Verification
34
important to carefully plan for the course of experimentation before embarking upon the process of testing and data collection
Planning
35
used to identify the important factors that affect the process under investigation out of the large pool of potential factors
Screening
36
after narrowing down the important factors affecting the process, determine the best setting of theses factors to achieve the objectives of the investigation
Optimization
37
resistant to errors in the results
Robustness Testing
38