SCM Chapter 1- February 10th Flashcards

1
Q

Statistics

A

the mathematical science that deals with the collection, analysis, and presentation of data, which can then be used as a basis for inference and induction.

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2
Q

Data

A

are the values assigned to observations or measurments and are the building blocks of statistical analysis.

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3
Q

Information

A

is data that are transformed into useful facts that can be used for a specific purpose, such as decision making.

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4
Q

Primary Data

A

are data that you have collected for your own use.

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5
Q

Secondary Data

A

are data collected by someone else that you are “borrowing”

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6
Q

Direct Observation

A

is a method of gathering data while the subjects of interest are in their natural environment, often unaware they are being watched.

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7
Q

Focus Group

A

is a direct observational technique whereby individuals are paid to discuss their attitudes toward products or services in a group setting controlled by a moderator.

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8
Q

Experiment

A

subjects are exposed to certain treatments and the data of interest are recorded.

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9
Q

Survey

A

involves directly asking people a series of questions and can be administered by e-mail, via the Web, thru snail mail, face to face, or over the phone.

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10
Q

Quantitative Data

A

use numerical values.

  • discrete
  • continuous
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11
Q

Qualitative Data

A

relies on descriptive terms to describe something of interest.

  • marital status
  • political party
  • eye color
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12
Q

Nominal Data

A

are data that are described as a category or label.

  • basic analysis
  • categorical codes
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13
Q

Ordinal Data

A

have all the properties of nominal data, with the added feature that we can rank-order the values from highest to lowest.

  • rankings
  • mid level analysis
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14
Q

Interval Data

A

are strictly quantitative, allow us to measure the differences between the categories with actual numbers in a meaningful way.

  • constant difference
  • ratios not reasonable
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15
Q

Ratio Data

A

have all the features of interval data, with the added benefit of having a true zero point.

  • make sense
  • complete analysis
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16
Q

Time Series Data

A

are values that correspond to specific measurements taken over a range of time periods.

17
Q

Cross-Sectional Data

A

are values collected from a number of subjects (firms, individual, states, regions, and so fourth) during a single time period.

18
Q

The Purpose of a Descriptive Statistic

A

is to summarize, or display, data so we can quickly get an overview of the information.

19
Q

Inferential Statistics

A

allows us to make claims or conclusions about the data based on a sample of them.

20
Q

A Population

A

represents all possible subjects of interest.

21
Q

A Sample

A

is a subset of a population.

22
Q

Parameter

A

is data that describes a characteristic about a population.

23
Q

Statistics

A

is data that describes a characteristic about a sample.

24
Q

Biased Sample

A

is a sample that does not represent the intended population and that can lead to distorted findings, can occur either intentionally or unintentionally.

25
Q

Descriptive Statistics

A

the branch of statistics that focuses on summarizing, or displaying data.

  • collect
  • present
  • characterize
26
Q

Inferential Statistics

A

the field of statistics that allows us to make claims or conclusions about a population based on a sample of data from that population.

  • estimate
  • test claim
  • will always have a sample
27
Q

Quantitative Discrete

A

counted items

  • number of children
  • defects per hour
28
Q

Quantitative Continuous

A

measured characteristics

  • weight
  • voltage
  • money