Intro Flashcards

(21 cards)

1
Q

Scientific approach to managerial decision making

A

QA

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2
Q

What is the QA Approach?

A
  1. Define the problem
  2. Develop a Model
  3. Acquire input data
  4. Develop solutions
  5. test the solutions
  6. Analyze the results
  7. Implement the results
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3
Q

Provides the tool through which such data are collected, analyzed, summarized, and presented to facilitate the decision-making process

A

Business Statistics

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4
Q

a science dealing with the collection, analysis, interpretation, and presentation of numerical data

A

Statistics

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5
Q

a collection of persons, objects, or items of interest

A

Population

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6
Q

data from the whole population for a given measurement of interest

A

Census

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7
Q

a portion of the whole and (desirably) a representation of that whole

A

Sample

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8
Q

using data gathered on a group to describe or reach conclusions about the same group

A

Descriptive Statistics

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9
Q

when a researcher gathers data from a sample and uses the statistics generated to reach conclusions about the population from which the sample was taken

A

Inferential Statistics

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10
Q

facts and figures collected, analyzed, summarized for presentation and interpretation

A

Data

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11
Q

What are the general types of data? (6)

A
  1. Nominal
  2. Ordinal
  3. Interval
  4. Ratio

Categorical
Numerical

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12
Q

It represents characteristics. Numerical but no mathematical meaning.

A

Categorical

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13
Q

used for labeling variables without any quantitative value

A

Nominal

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14
Q

Examples of nominal

A

gender, name, hair color, address

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15
Q

categorical but numbers have mathematical meaning. order is of importance and significance, but the difference is the order is not really known.

A

Ordinal

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16
Q

with meaning as measurement or count

17
Q

numeric scales which we know the order AND exact difference between the values

18
Q

can perform mathematical operations

19
Q

Data containing data type, format, and structure

A

Structured Data

20
Q

Textual data files with a discernible pattern that enables parsing

A

Semi-structured data

21
Q

Textual data with erratic data formats that can be formatted with effort, tools, and time

A

Quasi-structured data