(Prelim) Quantitive Methods Mocktest BSIT 402

39問 • 11ヶ月前

問題一覧

A scientific approach to managerial decision making in which raw data are processed and manipulated to produce meaningful information is called

Quantitative Analysis

What type of data is a combination of numbers and letters

Alphanumeric

What type of data is sentences and paragraphs used in written communication

Text

What type of data are graphics, shapes, figures etc.

Image

What type of data is human voice and other sounds

Audio

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

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

It involves calculating the average of each alternative and then choosing/selecting the alternative with the largest average.

Laplace 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.

Hurwicz strategy with α as coefficient of realism

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 regret strategy

What is the Third Step of The Quantitative Analysis Approach

Acquiring input data

Which statement is FALSE for Possible Problems in Defining the Problem

There are no Conflicting Viewpoints

Which is NOT an example of types of Models

Scientific Model

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

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.

Quantitative Data

reflects a number obtained by counting. Typically, it involves integers.

Discrete Data

could be divided and reduced to finer and finer levels. The number of decimalplaces depends on the precision of the measuring device

Continuous Data

involves naming/ identifying a thing without assigning it to an implicit or natural value or rank.

Nominal Data

involves some kind of order or scale (such as low to high or high to low) relationship among the variable’s observations.

Ordinal Data

It is the process of gathering open-ended, firsthand information by observing an object or a phenomenon in a certain way.

Observation

It is a purposeful discussion between two (2) or more people by asking questions directly from respondents, either face-to- face or by telephone.

Interview

This involves materials such as newspapers.

Archival Materials

is a data which not only classifies and orders the measurements, but also specifies the exact differences between the values.

Interval data

tell us the exact value between units and also have an absolute zero.

Ratio data

deliberately assigns subjects to various treatments for studying the reasons for changes in the output response(s).

Experiment Study

collect data in a way that does not directly interfere with how the data arise, i.e. merely"observe".

Observational Study

is usually sensitive data such as cash flows and turnovers, hence, it is not open for public research.

Accounting Data

We tend to manipulate data according to our own purposes to make it look “good and clean”. Yet, the validity of results rest on the validity of the input data.

Validity of Data

It is the factor that causes a change in the dependent variable. It can be thought of as an intervention or a treatment.

Independent Variable

It is what we hope to change through the experiment. This is the “effect” in cause and effect relationship.

Dependent Variable

What is the Sixth Step of The Quantitative Analysis Approach

Analyzing the result

What is the 5th Step of The Quantitative Analysis Approach

Testing the solution

The colors of houses in a subdivision are an example of...

Qualitative Data

The general weighted average of the Dean’s Listers are an example of...

Quantitative Data

Student’s score in Statistics exam are an example of...

Quantitative Data

Plate numbers of cars traveling around EDSA are an example of...

Qualitative Data

Number of tourist individuals entering the country are an example of...

Quantitative Data

Number of chickens sold are an example of...

Discrete Data

Waiting time at a dental clinic are an example of...

Continuous Data

The Contemporary World Mock test (Prelims)

Xai Alexandrei Delos Reyes · 58問 · 2年前

The Contemporary World Mock test (Prelims)