Business Math Flashcards

1
Q

can be presented in many different ways, each of which can make the underlying information more interesting and easier to understand.

A

Business Data

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2
Q

can be discuss as is or use a table or a graph

A

Data

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3
Q

How can we analyze data further?

A

By looking at measures of central tendencey, dispersion, shape or correlation

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4
Q

How can we analyze data further?

A

By looking at measures of central tendency, dispersion, shape or correlation

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5
Q

Examples of Data presentation

A

Table
Graphs
Textual

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6
Q

is the principal mode of communicating important information and explaining key findings to the target audience.

A

Textual Presentation / Presentations Through the use of Text

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7
Q

The discussion about the presentation of data starts off with it’s most raw and vague form

A

Textual Presentation

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8
Q

The most raw and vague form of data presentation

A

Textual Presentation

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9
Q

data is simply mentioned as mere text, that is generally in a paragraph. This is commonly used when the data is not very large.

A

Textual Presentation

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10
Q

Common Attributes of Textual Presentations

A
  • Tells a story about the data
  • Catches quickly the reader’s attention
  • Is interesting, easily understood and often entertaining.
  • Encourages others to start reflecting on what the presentation is communicating
  • Provides relevance and is able to answer the question as to why the audience would want to continue reading.
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11
Q

Tips for clear writing in textual presentations:

A
  • Use short sentences.
  • Break up long sentences.
  • Aim for one idea per sentence or one idea per paragraph.
  • Keep paragraph short.
  • Start paragraph with the most important message.
  • Keep your writing crisp and direct to the point.
  • Avoid jargon whenever possible, unless your audience consists of entirely people in a particular field.
  • Use the simplest words that fit your message and that readers will easily understand.
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12
Q

Presenting business data in this form is necessary to interpret them meaningfully

A

Tabular Presentation

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13
Q

an array of data in rows and columns

A

Table

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14
Q

condenses the original data and, hence, takes up less space compared to presentation in narrative form.

A

Tabular Presentation

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15
Q

facilitates representation of even large amounts of data in an attractive, easy to read and organized manner.

A

Table

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16
Q

most widely used forms of presentation of data since data tables are easy to construct and read.

A

Tabular Presentation

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17
Q

Essential Parts of a Table

A
  1. Table Title
  2. Column Header
  3. Row Stubs
  4. Data
  5. Footnote
  6. Source
18
Q

Part of the table that gives a clear and accurate description of the contents of the table. It should answer the questions, “what,” “where,” and “when.”

A

Table Ttitle

19
Q

Part of the table that gives a clear and accurate description of the contents of the table. It should answer the questions, “what,” “where,” and “when.”

A

Table Title

20
Q

part of a table that should identify the data presented in each column of the table and provide any relevant metadata (unit of measurement, time period, etc.)

A

Column Headers

21
Q

Found in the first column of the table, these should identify the data presented in each row of the table.

A

Row Stubs

22
Q

These are the actual values, numerical information or number.

A

Data

23
Q

additional and/or explanatory information need to understand and use the table correctly.

A

Footnote

24
Q

provide the source or references from which the data are obtained.

A

Source

25
Q

Tips for Designing Good Tables

A
  • Design both the layout and the labeling of your table in a straightforward manner
  • Make it easy for your audience to find and understand the data within your table.
  • The table should only be as wide as the data values require.
  • Avoid unnecessary text.
  • Do not leave any data cell empty. Indicate missing values as either “not applicable” or “not available.”
  • Align the numbers on the decimal point or on the right so their relative value is clear.
26
Q

a visual representation of data, in which the data are represented using elements like rectangles, circles or lines.

A

Graphical Presentation

27
Q

an effective tool because it displays data quickly, facilitates comparison, and reveals trends and relationships within the data.

A

Graphical Presentation

28
Q

Tips on Using Graphs

A

keep the following in mind:
1. Audience - who and what do they know
2. Message - what you want to communicate
3. Nature of Message - Do you want to do comparison, analyze relationships or show trends?

29
Q

Attributes of a good chart

A
  • Grabs the readers’ attention and stimulates thinking
  • Presents the information simply (avoid too much information), clearly (should be self-explanatory) and accurately;
  • Does not mislea
  • Facilitates data analysis, like determining trends, relationships and differences
30
Q

Essential Parts
or
Three Components
of a Graphs

A
  1. Data Components
  2. Support Components
  3. Decorative Features
31
Q

component / part of a graph that represent the data like bars, lines or areas.

A

Data

32
Q

component / part of a graph that help the readers understand the data like title, data labels and gridlines

A

Support Components

33
Q

Elements under the Support Components of a Graph

A
  1. Title
  2. Data Labels
  3. Gridlines
  4. Axis Labels
  5. Footnote
  6. Data Source
34
Q

a support component that should give a clear idea of what the graph is about. It has to be short and concise.

A

Title

35
Q

a support component that are displayed on or next to the data components to facilitate their identification and understanding

A

Data Labels

36
Q

a support component that help users read and compare data values.

A

Gridlines

37
Q

a support component that should identify the values displayed in the graph.

A

Axis Labels

38
Q

a support component that may be used to provide definitions or information

A

Footnote

39
Q

a support component that should be identified at the bottom of the graph.

A

Data source

40
Q

essential parts of a graph that are not related to the data.

A

Decorative Features