Quantitative Methods(Data Analysis)
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It is the act of selecting a preferred course of action among alternatives
Decision-making
Quantitative analysis
Meaningful information
Probability of an event
Scientific approach to managerial decision making in which raw data are processed and manipulated to produce meaningful information is called
Decision-making
Quantitative analysis
Meaningful information
Probability of an event
Combination of numbers and letters
Alphanumeric
Image
Audio
Text
Sentences and paragraphs used in written communication
Alphanumeric
Image
Audio
Text
Graphics, shapes, figures etc.
Alphanumeric
Image
Audio
Text
Human voice and other sounds
Alphanumeric
Image
Audio
Text
All Decision Environments
Maximax, maximin, laplace, Hurwicz, minimax regret
Maxihigh, maxilow, laplace, Hurwicz, minimax regret
Maximax, maximin, laplace, minimax regret
Maxihigh, maxilow, laplace, minimax regret
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.
Maximax strategy
Maximin strategy
Laplace strategy
Hurwicz strategy
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 strategy
Laplace strategy
Hurwicz strategy
Minimax strategy
It involves calculating the average of each alternative and then choosing/selecting the alternative with the largest average.
Laplace strategy
Hurwicz strategy
Minimax strategy
Maximax strategy
It involves multiplying the best outcome in the row by the given value of a, multiplying the worst outcome in the row by 1-a, and adding the two (2) result together.
Hurwicz strategy
Minimax strategy
Maximax strategy
Maximin 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.
Minimax strategy
Maximax strategy
Maximin strategy
Laplace strategy
What decision environment is this "best of the best"
Maximax strategy
Maximin strategy
Minimax strategy
Hurwicz strategy
What decision environment is this "best of the worst"
Maximax strategy
Maximin strategy
Minimax regret strategy
Hurwicz strategy

Fill in the blank #1 in the Quantitative analysis Approach
Defining the problem
Developing a model
Developing a solution
Implementing the results Iconic Model

Fill in the blank #2 in the Quantitative analysis Approach
Acquiring input data
Developing a model
Developing a solution
Implementing the results Iconic Model

Fill in the blank #3 in the Quantitative analysis Approach
Acquiring input data
Testing the solution
Developing a solution
Implementing the results Iconic Model

Fill in the blank #4 in the Quantitative analysis Approach
Analyzing the result
Testing the solution
Developing a solution
Implementing the results Iconic Model

Fill in the blank #5 in the Quantitative analysis Approach
Analyzing the result
Testing the solution
Defining the problem
Implementing the results Iconic Model

Fill in the blank #6 in the Quantitative analysis Approach
Analyzing the result
Testing the solution
Defining the problem
Implementing the results Iconic Model

Fill in the blank #7 in the Quantitative analysis Approach
Analyzing the result
Testing the solution
Developing a model
Implementing the results Iconic Model
Possible Problems in Developing a Model (Which one is wrong)
Conflicting Viewpoints
Impacts on other departments
Beginning assumptions
Solution outdated
3 Types of Model
Iconic Model, Analog Model, Mathematical Model
Visual Model, Analog Model, Quantitatical Model
Visual Model, Analog Model, Mathematical Model
Iconic Model, Analog Model, Quantitatical Model
Possible Problems in Developing a Model
Conflicting Viewpoints
Solution outdated
Fitting the Textbook Model
Impacts on other departments
Possible Problems in Developing a Model
Understanding the Model
Beginning assumptions
Using Accounting Data
Validity of Data
It is about attributes and properties; information that can't actually be measured. It is concerned with the data that is observable in terms of smell, appearance, taste, feel, texture, gender, nationality and so on and is represented either in a verbal/narrative format.
Qualitative Data
Validity of Data
Analyzing Data
Quantitative data
Kinds of Qualitative data
Nominal Data, Ordinal Data
Normal Data, Ordinal Data
Normal Data, Analyzing Data
Nominal Data, Analyzing Data
Naming/ identifying a thing without assigning it to an implicit or natural value or rank.
Nominal Data
Ordinal Data
Discrete data
Continuous data
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
Methods of collecting qualitative data (Which one is wrong)
Focus Group
Observation
Interview
Archival Materials
It is an open discussion group of about 6-8 participants led by a neutral moderator or facilitator.
Focus Group
Observation
Interview
Archival Materials
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
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
This involves materials such as newspapers.
Focus Group
Observation
Interview
Archival Materials
It is the data that can be measured and expressed in numerical terms. It is concerned with measurements like height, weight, volume, length, size, humidity, speed, age etc. The tabular and diagrammatic presentation of data is also possible, in the form of charts, graphs, tables, etc.
Quantitative data
Analyzing Data
Qualitative Data
Validity of Data
Two Classification of Quantitative Data
Interval and Ratio data
Interval and Discrete data
Continuous and Ratio data
Continuous and Discrete data
Kinds of Quantitative data
Discrete data, Continuous data
Interval data, Continuous data
Interval data,  Ratio data
Discrete data, Ratio data
Reflects a number obtained by counting. Typically, it involves integers.
Discrete data
Interval data
Ratio data
Continuous data
Could be divided and reduced to finer and finer levels. The number of decimal places depends on the precision of the measuring device.
Discrete data
Ratio data
Interval data
Continuous data
Is a data which not only classifies and orders the measurements, but also specifies the exact differences between the values.
Discrete data
Interval data
Ratio data
Continuous data
Data tell us the exact value between units and also have an absolute zero.
Ratio data
Discrete data
Interval data
Continuous data
Deliberately assigns subjects to various treatments for studying the reasons for changes in the output response(s).
Experiment study
Observational study
Accounting data
Validity of data
Collect data in a way that does not directly interfere with how the data arise
Observational study
Experiment study
Accounting data
Validity of data
Is usually sensitive data such as cash flows and turnovers, hence, it is not open for public research. Some cost data requirements needed by an analyst was never collected in the first place, hence, analyst may find it hard to obtain.
Accounting data
Validity of data
Observational study
Experiment study
We tend to manipulate data according to our own purposes to make it look "good and clean". Yet, the results rest on the _________of the input data.
Accounting data
Validity of data
Observational study
Experiment study
This requires manipulation of the model variables in order to determine the solution that is practical and can be implemented.
Develop a Solution
Determine the goal of your survey
Identify the sample population
Collect valuable information
Manipulation can be done by:
Solving equations
Trial and error
Complete enumeration
Using an algorithm
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
Trial and error
Using an algorithm
It allows a series of "what-if" questions to be answered for it determine possible changes in the various parameters of the original problem.
Sensitivity Analysis
Analyzing Data
Trial and error
Using an algorithm
There is a false notion in us that if someone thinks complicatedly or elaborately thinks well. That is not the case always, mathematics always shuns a lot of people even managers.
Hard to understand mathematics
Only one answer is limiting
Determine the goal of your survey
Identify the sample population
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. In this way other non-quantitative factors may be considered and the cost implication of deviating from the optimal solution is known.
Hard to understand mathematics
Only one answer is limiting
Determine the goal of your survey
Identify the sample population
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