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WorksheetsQuantitative Methods Prelims
Total questions: 59
Worksheet time: 30mins
It is a scientific approach to managerial decision making in which raw data are processed and manipulated to produce meaningful information
Quantitative Analysis
Qualitative Analysis
Quantitative Research
Qualitative Research
combination of numbers and letters
Alphanumeric
Text
Image
Audio
sentences and paragraphs used in written communication
Alphanumeric
Text
Image
Audio
graphics, shapes, figures etc.
Alphanumeric
Text
Image
Audio
human voice and other sounds
Alphanumeric
Text
Image
Audio
Best of the Worst
Maximin
Maximax
Minimin
Minimax
It involves looking at the worst that could happen for each possible course of action and then choosing/selecting the action with the largest value.
Maximin
Maximax
Minimin
Minimax
It involves looking at the best that could happen for each possible course of action and then choosing/selecting the action with the largest value.
Maximin
Maximax
Minimin
Minimax
Best of the Best
Maximin
Maximax
Minimin
Minimax
It involves calculating the average of each alternative and then choosing/selecting the alternative with the largest average.
Laplace Strategy
Hurwicz Strategy with α as coefficient of realism
Minimax regret Strategy
Minimin regret Strategy
It involves multiplying the best outcome in the row by the given value of α, multiplying the worst outcome in the row by 1-α, and adding the two (2) result together.
Laplace Strategy
Hurwicz Strategy with α as coefficient of realism
Minimax regret Strategy
Minimin regret Strategy
It involves computing an opportunistic loss (or regret) of each alternative by simply subtracting the entry from that of the highest column value and selecting the maximum regret value of each row. Finally, determine the decision by choosing the minimum/lowest regret.
Laplace Strategy
Hurwicz Strategy with α as coefficient of realism
Minimax regret Strategy
Minimin regret Strategy
EV = P (X)
Expected Value
EV
P
X
=
EV = P (X)
Probability of an Event
EV
P
X
=
EV = P (X)
Amount to be received for a particular event
EV
P
X
=
The Quantitative Analysis Approach
Types of Model Except
Iconic Model
Analog Model
Mathematical Model
Analytical Model
The Quantitative Analysis Approach
Possible Problems in Defining the Problem (4)
Conflict Viewpoints
Impacts on other departments
Beginning Assumptions
Solution Outdated
Testing the Solution
The Quantitative Analysis Approach
Possible Problems in Developing a Model (2)
Fitting the Textbook Model
Impacts on other departments
Beginning Assumptions
Understanding the Model
The Quantitative Analysis Approach
Possible Problems in Acquiring an Input Data (2)
Fitting the Textbook Model
Using Accounting Data
Validity of Data
Understanding the Model
The Quantitative Analysis Approach
It is usually sensitive data such as cash flows and turnovers, hence, it is not open for public research.
Fitting the Textbook Model
Accounting Data
Validity of Data
Understanding the Model
The Quantitative Analysis Approach
We tend to manipulate data according to our own purposes to make it look “good and clean”.
Fitting the Textbook Model
Accounting Data
Validity of Data
Understanding the Model
It is about attributes and properties; information that can't actually be measured.
Qualitative Data
Quantitative Data
Research Data
Confidential Data
It is the data that can be measured and expressed in numerical terms.
Qualitative Data
Quantitative Data
Research Data
Confidential Data
A kind of Qualitative Data that involves naming/identifying a thing without assigning it to an implicit or natural value or rank.
Nominal Data
Ordinal Data
Discrete Data
Continuous Data
A kind of Qualitative Data that involves some kind of order or scale (such as low to high or high to low) relationship among the variable’s observations.
Nominal Data
Ordinal Data
Discrete Data
Continuous Data
A kind of Quantitative Data that reflects a number obtained by counting. Typically, it involves integers.
Nominal Data
Ordinal Data
Discrete Data
Continuous Data
A kind of Quantitative Data that could be divided and reduced to finer and finer levels. The
number of decimal places depends on the precision of the measuring device.
Nominal Data
Ordinal Data
Discrete Data
Continuous Data
Methods of Collecting Qualitative Data
It is an open discussion group of about 6- 8 participants led by a neutral moderator or facilitator.
Focus Group
Observation
Interview
Archival Materials
Methods of Collecting Qualitative Data
It is the process of gathering open-ended, firsthand information by observing an object or a phenomenon in a certain way.
Focus Group
Observation
Interview
Archival Materials
Methods of Collecting Qualitative Data
It is a purposeful discussion between two (2) or more people by asking questions directly from respondents, either face-to- face or by telephone.
Focus Group
Observation
Interview
Archival Materials
Methods of Collecting Qualitative Data
This involves materials such as newspapers.
Focus Group
Observation
Interview
Archival Materials
Classification of Quantitative Data
It is a data which not only classifies and orders the measurements, but also specifies the exact differences between the values.
Interval Data
Ratio Data
Discrete Data
Continuous Data
Classification of Quantitative Data
It tell us the exact value between units and also have an absolute zero.
Interval Data
Ratio Data
Discrete Data
Continuous Data
Methods of Collecting Quantitative Data
It is used to collect/gather information from a group of people by employing printed questionnaires mailed to large samples, though it can also be done through the telephone.
Survey
Experiments Study
Observational Study
Observations and Interviews
Methods of Collecting Quantitative Data
It deliberately assigns subjects to various treatments for studying the reasons for changes in the output response(s).
Survey
Experiments Study
Observational Study
Observations and Interviews
Methods of Collecting Quantitative Data
It collects data in a way that does not directly interfere with how the data arise, i.e. merely "observe".
Survey
Experiments Study
Observational Study
Observations and Interviews
Manipulation can be done by EXCEPT:
Solving equations
Trial and Error
Complete enumeration
Using an algorithm
Controlling someone
It involves examining the collected information in ways that reveal the relationships, patterns, trends, etc. that can be found within it.
Analyzing Data
Sensitivity Analysis
Ratio Data
Interval Data
It allows a series of “what-if” questions to be answered for it determine possible changes in the
various parameters of the original problem.
Analyzing Data
Sensitivity Analysis
Ratio Data
Interval Data
There is a false notion in us that if someone thinks complicatedly or elaborately thinks well.
Analyzing Data
Sensitivity Analysis
Hard to understand mathematics
Only one answer is limiting
QA models tend to give one solution to a problem. One way to offset this is to come up with alternative scenarios or sensitivities to give managers options to choose from.
Analyzing Data
Sensitivity Analysis
Hard to understand mathematics
Only one answer is limiting
Planning and Conducting Surveys
I. Analyze the results by making graphs and drawing conclusions
II. Determine the goal of your survey
III. Decide what questions to ask in what order, and how to phrase them
IV. Choose which of the following methods to use to collect valuable information with the survey
V. Identify the sample population
VI. Conduct the interview and collect the information.
I, III, V, VI, II, IV
IV, VI, I, II, V, III
II, V, IV, III, VI, I
VI, I, III, II, IV, V
It is the factor that causes a change in the dependent variable. It can be thought of as an intervention or a treatment.
Independent Variables
Dependent Variables
Random Variables
Interconnected Variables
It is what we hope to change through the experiment. This is the “effect” in cause and effect relationship.
Independent Variables
Dependent Variables
Random Variables
Interconnected Variables
(aka Classification Factors, Uncontrollable Factors)
Independent Variables
Dependent Variables
Random Variables
Interconnected Variables
(aka Experimental Factors, Controllable Factors)
Independent Variables
Dependent Variables
Random Variables
Interconnected Variables
Planning and Conducting Experiments
I. Experiment Idea (Recognition of the goal of the experiment)
II. Analysis and Interpretation
III. Experiment Planning
IV. Presentation and Package
V. Experiment Operation
I, III, V, II, IV
IV, I, II, V, III
II, V, IV, III, I
I, III, II, IV, V
Experiment Designs
This is when each person or object upon which the treatment is applied is assigned to a treatment completely at random.
Completely Randomized Design
Matched-pair Design
Randomized Block Design
Internal Point Design
Experiment Designs
This is when the person or object upon which the treatment is applied are paired up and each of the pair is assigned to a different treatment.
Completely Randomized Design
Matched-pair Design
Randomized Block Design
Internal Point Design
Experiment Designs
This is used when the person or object upon which the treatment is applied are divided into homogeneous groups called blocks. Within each block, the person or object upon which the treatment is applied are randomly assigned treatments.
Completely Randomized Design
Matched-pair Design
Randomized Block Design
Internal Point Design
Validity Evaluations
It occurs when causal relationship between the variables being studied can be determined.
Internal Validity
External Validity
Construct Validity
Conclusion Validity
Validity Evaluations
It occurs when conclusions can be generalized to other people, times and contexts.
Internal Validity
External Validity
Construct Validity
Conclusion Validity
Validity Evaluations
It demonstrates that the assessment is actually measuring the quality of an instrument or experimental design.
Internal Validity
External Validity
Construct Validity
Conclusion Validity
Validity Evaluations
It occurs when a relationship of some kind between the two variables being examined can be found.
Internal Validity
External Validity
Construct Validity
Conclusion Validity
Experiment Operation
It is concerned with preparing the subjects as well as the material needed (e. g., data collection forms). The participants must be informed about the intention; we must have their consent and they must be committed.
Preparation
Execution
Data Validation
Planning
Experiment Operation
It is concerned with ensuring that the experiment is conducted according to the plan and design
of the experiment, which includes data collection.
Preparation
Execution
Data Validation
Planning
Experiment Operation
It is concerned with ensuring that the actual collected data is correct and provide a valid picture of the experiment.
Preparation
Execution
Data Validation
Planning
Analysis and Interpretations
Provides information about the properties of the produced data and allow readers to understand important things about it from a single glance.
Descriptive Statistics
Data set reductions
Hypothesis testing
Presentation and Package
Analysis and Interpretations
It allows us to estimate how likely it is that our results were produced by chance rather
than a genuine experimental effect.
Descriptive Statistics
Data set reductions
Hypothesis testing
Presentation and Package
