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(Prelim) Quantitive Methods Mocktest BSIT 402
39問 • 11ヶ月前
  • Xai Alexandrei Delos Reyes
  • 通報

    問題一覧

  • 1

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

    Quantitative Analysis

  • 2

    What type of data is a combination of numbers and letters

    Alphanumeric

  • 3

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

    Text

  • 4

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

    Image

  • 5

    What type of data is human voice and other sounds

    Audio

  • 6

    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

  • 7

    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

  • 8

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

    Laplace Strategy

  • 9

    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

  • 10

    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

  • 11

    What is the Third Step of The Quantitative Analysis Approach

    Acquiring input data

  • 12

    Which statement is FALSE for Possible Problems in Defining the Problem

    There are no Conflicting Viewpoints

  • 13

    Which is NOT an example of types of Models

    Scientific Model

  • 14

    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

  • 15

    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

  • 16

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

    Discrete Data

  • 17

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

    Continuous Data

  • 18

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

    Nominal Data

  • 19

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

    Ordinal Data

  • 20

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

    Observation

  • 21

    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

  • 22

    This involves materials such as newspapers.

    Archival Materials

  • 23

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

    Interval data

  • 24

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

    Ratio data

  • 25

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

    Experiment Study

  • 26

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

    Observational Study

  • 27

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

    Accounting Data

  • 28

    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

  • 29

    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

  • 30

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

    Dependent Variable

  • 31

    What is the Sixth Step of The Quantitative Analysis Approach

    Analyzing the result

  • 32

    What is the 5th Step of The Quantitative Analysis Approach

    Testing the solution

  • 33

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

    Qualitative Data

  • 34

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

    Quantitative Data

  • 35

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

    Quantitative Data

  • 36

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

    Qualitative Data

  • 37

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

    Quantitative Data

  • 38

    Number of chickens sold are an example of...

    Discrete Data

  • 39

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

    Continuous Data

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    問題一覧

  • 1

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

    Quantitative Analysis

  • 2

    What type of data is a combination of numbers and letters

    Alphanumeric

  • 3

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

    Text

  • 4

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

    Image

  • 5

    What type of data is human voice and other sounds

    Audio

  • 6

    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

  • 7

    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

  • 8

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

    Laplace Strategy

  • 9

    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

  • 10

    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

  • 11

    What is the Third Step of The Quantitative Analysis Approach

    Acquiring input data

  • 12

    Which statement is FALSE for Possible Problems in Defining the Problem

    There are no Conflicting Viewpoints

  • 13

    Which is NOT an example of types of Models

    Scientific Model

  • 14

    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

  • 15

    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

  • 16

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

    Discrete Data

  • 17

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

    Continuous Data

  • 18

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

    Nominal Data

  • 19

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

    Ordinal Data

  • 20

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

    Observation

  • 21

    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

  • 22

    This involves materials such as newspapers.

    Archival Materials

  • 23

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

    Interval data

  • 24

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

    Ratio data

  • 25

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

    Experiment Study

  • 26

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

    Observational Study

  • 27

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

    Accounting Data

  • 28

    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

  • 29

    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

  • 30

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

    Dependent Variable

  • 31

    What is the Sixth Step of The Quantitative Analysis Approach

    Analyzing the result

  • 32

    What is the 5th Step of The Quantitative Analysis Approach

    Testing the solution

  • 33

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

    Qualitative Data

  • 34

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

    Quantitative Data

  • 35

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

    Quantitative Data

  • 36

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

    Qualitative Data

  • 37

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

    Quantitative Data

  • 38

    Number of chickens sold are an example of...

    Discrete Data

  • 39

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

    Continuous Data