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EDA > [EDA] Chapter 1 > Flashcards

[EDA] Chapter 1 Flashcards

1
Q

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

A

Statistics

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2
Q

Two main division of statistics

A

Descriptive and Inferential Statistics

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3
Q

deals with procedures that organize, summarize, and describe quantitative data

A

Descriptive Statistics

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4
Q

deals with making a judgment or a conclusion about a population based on the findings from a sample that is taken from a population

A

Inferential Statistics

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5
Q

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

A

population

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6
Q

all members of a particular group of objects or people, which are subjects or respondents of a study

A

Population

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7
Q

any subset of population or few members of a population

A

Sample

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8
Q

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

A

Data

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9
Q

data which are not organized in a specific way

A

Ungrouped (raw) Data

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10
Q

They are simply the collection of data as they are gathered

A

Ungrouped (raw) Data

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11
Q

raw data organized into groups or categories with corresponding frequencies

A

Grouped Data

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12
Q

Organized in this manner, the data is referred to as frequency distribution

A

Grouped Data

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13
Q

descriptive measure of a characteristic of a population

A

Parameter

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14
Q

Measure of a characteristic of sample

A

Statistic

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15
Q

Characteristic or property of a population or sample that may have a number of different values

A

Variable

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16
Q

It differentiates a particular member from the rest of the group

A

Variable

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17
Q

It is the characteristic or property that is measured, controlled, or manipulated in research. They differ in many respects, most notably in the role they are given in the research and in the type of measures that can be applied to them

A

Variablez

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18
Q

first step in conducting statistical inquiry

A

Collection of Data (Data Collection)

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19
Q

A systematic method of collecting and measuring data from different sources of information in order to provide answers to relevant questions

A

Data Gathering

20
Q

Person who conducts an inquiry

A

Investigator

21
Q

Person who helps in collecting information

A

Enumerator

22
Q

according to Wessel, it is data collected in the process of investigation

A

Primary Data

23
Q

It is collected by some other organization for their own use but the investigator also gets it for his use

A

Secondary Data

24
Q

According to M.M. Blair, they are those already in existence for some other purpose than answering the question in hand

A

Secondary Data

25
Q

In the field of engineering, what are the three basic methods of collecting data?

A

Retrospective Study, Observational Study, and Designed Experiment

26
Q

This data collection method would use the population or sample of the historical data which had been archived over some period of time

A

Retrospective Study

27
Q

In this data collection method, process or population is observed and disturbed as little as possible, and the quantities of interest are recorded

A

Observational Study

28
Q

In this data collection method, deliberate or purposeful changes in the controllable variables of the system or process is done

A

Designed Experiment

29
Q

a method of asking respondents some well-constructed questions

A

Survey

30
Q

It is an efficient way of collecting information and easy to administer wherein a wide variety of information can be collected

A

Survey

31
Q

It can be administered in large numbers and does not require many interviewers and there is less pressure on respondents.

A

Self-Administered Surveys

32
Q

process of selecting units

A

Sampling

33
Q

also called judgment or subjective sampling

A

non probability sampling

34
Q

This method of sampling is convenient and economical but the inferences made based on the findings are not so reliable

A

non-probability sampling

35
Q

Common types of non-probability sampling

A

Convenience, Purposive, and Quota Sampling

36
Q

In this sampling method, the researcher use a device in obtaining the information from the respondents which favors the researcher but can cause bias to the respondents

A

Convenience Sampling

37
Q

In this sampling method, the selection of respondents is predetermined according to the characteristic of interest made by the researcher. Randomization is absent in this type of sampling

A

Purposive Sampling

38
Q

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

A

Proportional Quota Sampling

39
Q

In this sampling method, a minimum of sampled units in each category is specified and not concerned with having numbers that match the proportions in the population

A

Non-Proportional Quota Sampling

40
Q

in this sampling, each individual is chosen entirely by chance and each member of the population has an equal chance of being included in the sample

A

Simple Random Sampling

41
Q

obtained by taking samples from each stratum or sub group of a population.

A

Stratified Sampling

42
Q

a sampling technique where the entire population is divided into groups or clusters and a random sample of these clusters are selected

A

Cluster

43
Q

a series of tests conducted in a systematic manner to increase the understanding of an existing process or to explore a new product or process

A

Experiment

44
Q

a tool to develop an experimentation strategy that maximizes learning using minimum resources

A

Design of Experiments (DOE)

45
Q

widely and extensively used by engineers and scientists in improving existing process through maximizing the yield and decreasing the variability or in developing new products and processes

A

Design of Experiments (DOE)

46
Q

5 stages to be carried out fo the design of experiments

A

Planning, screening, optimization robustness, and verification

EDA (3 decks)

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