WEEK 2 Flashcards

1
Q

of measurement use to assign numbers to objects where different numbers indicate different objects into discrete categories.

MEASUREMENT SCALES

A

Nominal Scale

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2
Q

is categorize data in natural order, also assign numbers (like nominal), but here the numbers also have meaningful order.

MEASUREMENT SCALES

A

Ordinal Scale

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3
Q

Numbers have order, but there are also equal intervals between adjacent categories or have an order difference between categories is identical.

MEASUREMENT SCALES

A

Interval Scale

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4
Q

The difference are meaningful, plus ratios are meaningful and there is a true zero point.

MEASUREMENT SCALES

A

Ratio Scale

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5
Q

It refers to the practice of categorizing and classifying data to make it more usable. It refers to the arrangement of figures in such a form that comparison become easy and conclusion can be drawn.

A

Organization of Data

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6
Q

When data are classified on the basis of location or areas.

4 TYPES OF CLASSIFICATION OF DATA

A

Geographical Classification

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7
Q

Mean classification on the basis of time, like months, year, etc.

4 TYPES OF CLASSIFICATION OF DATA

A

Chronological Classification

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8
Q

are classified on the basis of some attributes or quality such as sex, colour of hair, literacy and religion.

4 TYPES OF CLASSIFICATION OF DATA

A

Qualitative Classification Data

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9
Q

Refers to the classification of data according to some characteristics, which can be measured such as height, weight, income, profits, etc.

4 TYPES OF CLASSIFICATION OF DATA

A

Quantitative Classification

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10
Q

Distribution is one in which the data can only take on certain values, for example integers.

Types of Quantitative Classification of Data

A

Discrete Frequenc y

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11
Q

Distribution is one in which data can take on any value within a specified range (which may be infinite).

Types of Quantitative Classification of Data

A

Continuous Frequency

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12
Q

Refers to the characteristics that varies in magnitude quantity.

Elements of Quantitative Classification of Data

A

Variables

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13
Q

Refers to the number of times each variable gets repeated.

Elements of Quantitative Classification of Data

A

Frequency

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14
Q

types of Variables

Elements of Quantitative Classification of Data

A

“a. Discrete variables
b. Continuous variables”

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15
Q

is a tool that a person can use to have a brief discussion about a specific topic (like favorite ice cream flavor).

Tools in Gathering Data

A

Survey

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16
Q

is a group of individuals being interviewed or observed on a specific topic (such as discussion on school safety).

Tools in Gathering Data

A

Focus Group

17
Q

can be a one–on–one or group discussion as well, where the observer is trying to compile information about a specific topic.

Tools in Gathering Data

A

Interview

18
Q

shares the same characteristics of a survey, focus group, and interview, as it’s a list of questions the observer has compiled for the specific topic.

Tools in Gathering Data

A

Questionnaire

19
Q

The cause–and–effect pattern may be used to identify one or more causes followed by one or more effects or results. Or you may reverse this sequence and describe effects first and then the cause or causes.

4 Methods of Organization

A

Cause and Effect (or Effect and Cause) ¬

20
Q

pattern is commonly used in identifying something that’s wrong and in contemplating what might be done to remedy the situation.

4 Methods of Organization

A
  1. Problem–Solution ¬
21
Q

Material arranged chronologically is explained as it occurs in time. ¬ A chronological or narrative method of development might help you find a way to add both interest and content to your essay.

4 Methods of Organization

A

3.Chronology or Narrative ¬

22
Q

method of development is particularly useful in extending a definition, or anywhere you need to show how a subject is like or unlike another subject

4 Methods of Organization

A
  1. Comparison and Contrast ¬