quantitative analysis Flashcards

1
Q

the act of selecting a preferred course of action among alternatives

A

quantitative analysis

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2
Q

scientific approach to managerial decision making where raw data is processed and manipulated to produce meaningful information

A

quantitative analysis

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3
Q

which is true?

  • raw data > quantitative analysis > meaningful information
  • quantitative analysis > raw data > meaningful information
  • raw data > meaningful information > quantitative analysis
A

raw data > quantitative analysis > meaningful information

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4
Q

what are the types of data?

A
  • alphanumeric
  • text
  • image
  • audio
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5
Q

a type of data that is a combination of numbers and letters

A

alphanumeric

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6
Q

a type of data that are sentences and paragraphs

A

text

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7
Q

a type of data that includes graphics, shapes, figures, etc

A

image

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8
Q

a type of data that includes human voice, etc

A

audio

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9
Q

what are the 5 decision environments?

A
  • applying the maximax strategy
  • applying the maximin strategy
  • applying the laplace strategy
  • applying the hurwicz strategy with a as coefficient of realism
  • applying the minimax regret strategy
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10
Q

this decision environment involves looking at the best that could happen for each possible course of action and choosing the action with the largest value

A

applying the maximax strategy

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11
Q

also known as the “maximum of the maximums” or “best of the best”

A

applying the maximax strategy

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12
Q

this decision environment involves looking at the worst that could happen for each possible course of action and choosing the action with the largest value

A

applying the maximin strategy

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13
Q

also known as the “maximum of the minimums” or “best of the worst”

A

applying the maximin strategy

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14
Q

this decision environment involves calculating the average of each alternatives and choosing the alternative with the largest average

A

applying the laplace strategy

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15
Q

this decision environment involves multiplying the best outcome with the value a and multiplying the worst outcome with 1-a, then adding the two results together

A

hurwicz strategy with a as coefficient of realism

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16
Q

this decision environment involves calculating the opportunistic loss (regret) of each alternative

A

applying the minimax regret strategy

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17
Q

what are the 6 approaches to quantitative analysis?

A
  • defining the problem
  • developing a model
  • acquiring input data
  • developing a solution
  • testing the solution
  • analyzing the result
  • implementing the results
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18
Q

what are the possible problems in defining the problem

A
  • conflicting viewpoints
  • impacts on other depts
  • beginning assumptions
  • outdated solutions
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19
Q

what are the types of models?

A
  • iconic
  • analog
  • mathematical
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20
Q

what are the possible problems in developing a model?

A
  • fitting the textbook model
  • understanding the model
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21
Q

what are the types of data?

A
  • qualitative data
  • quantitative data
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22
Q

a type of data that is about attributes and properties; can’t be measured; observable like smell, appearance, gender, etc

A

qualitative data

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23
Q

what are the kinds of qualitative data?

A
  • nominal data
  • ordinal data
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24
Q

this kind of qualitative data involves identifying a thing without assigning it to an implicit or natural value

A

nominal data

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25
this kind of qualitative data involves the kind of order or scale relationship among the variable's observations
ordinal data
26
what are the methods of collecting qualitative data?
- form group - observation - interview - archival materials
27
it is an open discussion group of about 6-8 participants led by a moderator
form group
28
it is the process of gathering open-minded, firsthand information by observing an object or a phenomenon.
observation
29
it is a discussion between 2 or more people by respondents either face-to-face or by telephone
interview
30
a method of collecting qualitative data that involves materials such as newspapers
archival materials
31
a type of data that can be measured and expressed in numerical terms
quantitative data
32
what are the kinds of quantitative data?
- discrete data - continuous data
33
a kind of quantitative data that reflects a number obtained by counting
discrete data
34
a kind of quantitative data that can be divided and reduced to finer and finer levels
continuous data
35
what are the classifications of quantitative data?
- interval data - ratio data
36
a classification of quantitative data that specifies the exact differences between the values
interval data
37
a classification of quantitative data that tells the exact value between units and also have an absolute zero
ratio data
38
what are the methods of collecting quantitative data?
- survey - observational study - experiment study - observations and interviews
39
it is used to collect information from a group of people by employing printed questionnaires mailed to large samples
survey
40
a study that assigns subjects to various treatments for studying the reasons for changes in the output response
experiment study
41
a study that collects data in a way that does not directly interfere with how the data arise
observational study
42
what are the possible problems in acquiring an input data?
- using accounting data - validity of data
43
this step requires manipulation of model variables to determine the solution that is practical and can be implemented
develop a solution
44
manipulation can be done by?
- solving equations - trial and error - complete enumerations - using an algorithm
45
it involves examining of collected information that reveals the relationships, patterns, trends, etc. that can be found along with it
analyzing data
46
it allows a series of "what-if" questions to be answered for it to determine possible changes in the various parameters of the original problem
sensitivity analysis
47
what are the two potential roadblocks that quantitative analysis face in developing a solution?
- hard to understand mathematics - only one answer is limiting
48
what are the steps in planning and conducting surveys?
- determine the goal of your survey - identify the sample population - choose methods to use to collect valuable information with the survey - decide what questions to ask in what order, and how to phrase them - conduct the interview and collect the information - analyze the results by making graphs and drawing conclusions
49
what are the methods used to collect information?
- meeting the respondents in person - contacting the respondents through the telephone - conducting surveys through completing a survey on paper and mail it back - conducting online surveys
50
what are the steps needed for planning and conducting an experiment?
- experiment idea - experiment planning - experiment operation - analysis and interpretation - present and package
51
it is the factor that causes a change in the dependent variable
independent variables
52
it is also known as experimental factors, controllable factors
independent variables
53
it is what we hope to change through the experiment. this is the "effect" in the cause and effect relationship
dependent variables
54
it is also known as classification factors, uncontrollable factors
dependent variables
55
this is used when each person or object upon which the treatment is applied assigned to a treatment completely at random
completely randomized design
56
this is used when each person or object upon which the treatment is applied are paired up and each of the pair is assigned to a different treatment
matched-pair design
57
this is when each person or object upon which the treatment is applied are divided into homogenous groups called blocks
randomized block design
58
it occurs when causal relationship between the variables being studied can be determined.
internal validity
59
it occurs when conclusions can be generalized to other people
external validity
60
it demonstrates the assessment is actually measuring the quality of an instrument or experimental design
construct validity
61
it occurs when a relationship of some kind between the two variables being examined can be found
conclusion validity
62
it is concerned with preparing the subjects as well as the material needed
preparation
63
it is concerned with ensuring that the experiment is conducted according to the plan and design of the experiment
execution
64
it is concerned with ensuring that the actual collected data is correct and provide a valid picture of the experiment
data validation
65
provides information about the properties of the produced data and allow readers to understand important things about it from a single glance
descriptive statistics
66
allows us to estimate how likely it is that our results were produced by chance rather than a genuine experimental effect
hypothesis testing