EDA Flashcards

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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

A

Survey

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

A

Sampling

20
Q

representative of the target population

A

Sample

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
Q
  • obtained by taking samples from each stratum or sub-group of a
    population
A

Stratified Sampling

24
Q
  • 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
A

Cluster Sampling

25
Q

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

A

Non-probability Sampling

26
Q

use a device in obtaining the information from the respondents which
favors the researcher but can cause bias to the respondents

A

Convenience Sampling

27
Q

selection is predetermined according to the characteristic of interest
made by the researcher

A

Purposive Sampling

28
Q

major characteristics of the population by sampling a proportional
amount of each is represented

A

Proportional

29
Q

bit less restrictive
- process of selecting equal sized samples from subgroups if subgroup
comparisons are required

A

Non-proportional

30
Q

series of tests conducted in a systematic manner to increase the
understanding of an existing process

A

Experiment

31
Q

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
A

Design of Experiments (DOE)

32
Q

ensures that all factors and their interactions are systematically investigated
resulting to reliable and

A

Methodology of DOE

33
Q

5 STAGES OF METHODOLOGY OF DOE

A

planning
Screening
Optimization
Robustness Testing
Verification

34
Q

important to carefully plan for the course of experimentation before
embarking upon the process of testing and data collection

A

Planning

35
Q

used to identify the important factors that affect the process under
investigation out of the large pool of potential factors

A

Screening

36
Q

after narrowing down the important factors affecting the process,
determine the best setting of theses factors to achieve the objectives
of the investigation

A

Optimization

37
Q

resistant to errors in the results

A

Robustness Testing

38
Q
A