Statistics introduction Flashcards

1
Q

The term_ can refer to numerical facts such as averages,
medians, percentages, and maximums that help us understand a
variety of business and economic situations.

A

statistics

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2
Q

is the use of:
data,
information technology,
statistical analysis,
quantitative methods, and
mathematical or computer-based models
to help managers gain improved insight about their business
operations and make better, fact-based decisions.

A

Analytics

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3
Q

Scientific process of transforming data into insight for making better
decisions.

A

Analytics

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4
Q

Analytical techniques that describe what happened
in the past.

A

Descriptive analysis

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5
Q

Analytical techniques that use models constructed from past data to
predict future.

A

Predictive analysis

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6
Q

Analytical techniques that yield a best course of
action to take.

A

Prescriptive analysis

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7
Q

Public accounting firms use statistical sampling procedures when
conducting audits for their clients.

A

Accounting

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8
Q

Economists use statistical information in making forecasts about the
future of the economy or some aspect of it.

A

Economics

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9
Q

Financial advisors use price-earnings ratios and dividend yields to
guide their investment advice.

A

Finance

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10
Q

Electronic point-of-sale scanners at retail checkout counters are
used to collect data for a variety of marketing research
applications.

A

Marketing

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11
Q

A variety of statistical quality control charts are used to monitor
the output of a production process.

A

Production

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12
Q

A variety of statistical information helps administrators assess
the performance of computer networks.

A

Information Systems

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13
Q

are the facts and figures collected, analyzed, and summarized for
presentation and interpretation.

A

Data

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14
Q

All the data collected in a particular study are referred to as the ____ for the study

A

Data set

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15
Q

are the entities on which data are collected.

A

Elements

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16
Q

is a characteristic of interest for the elements

17
Q

The set of measurements obtained for a particular element is
called an

A

observation

18
Q

Nominal
* Ordinal
* Interval
* Ratio

A

Scales of measurement include

19
Q

The ____ determines the amount of information contained in
the data.

20
Q

Data are labels or names used to identify an attribute of the
element

21
Q

The data have the properties of nominal data and the order or
rank of the data is meaningful

22
Q

The data have the properties of ordinal data, and the interval
between observations is expressed in terms of a fixed unit of
measure.

23
Q

The data have all the properties of interval data and the ratio of
two values is meaningful

24
Q

Data can be further classified as being

A

categorical or quantitative

25
Labels or names used to identify an attribute of each element ▪ Often referred to as qualitative data ▪ Use either the nominal or ordinal scale of measurement ▪ Can be either numeric or nonnumeric ▪ Appropriate statistical analysis is rather limited
Categorical Data
26
ndicate how many or how much: * discrete, if measuring how many * continuous, if measuring how much
Quantitative Data
27
are collected at the same or approximately the same point in time.
Cross-Sectional Data
28
are collected over several time periods.
Times series Data
29
Time Requirement * Searching for information can be time consuming. * Information may no longer be useful by the time it is available. ➢ Cost of Acquisition * Organizations often charge for information even when it is not their primary business activity. ➢ Data Errors * Using any data that happen to be available or were acquired with little care can lead to misleading information.
Data Acquisition Considerations
30
Searching for information can be time consuming. * Information may no longer be useful by the time it is available
Time requirement
31
Organizations often charge for information even when it is not their primary business activity.
Cost of Acquisition
32
Using any data that happen to be available or were acquired with little care can lead to misleading information.
Data Errors
33
Most of the statistical information in newspapers, magazines, company reports, and other publications consists of data that are summarized and presented in a form that is easy to understand
Descriptive Statistics
34
The set of all elements of interest in a particular study
Population
35
A subset of the population
Sample
36
The process of using data obtained from a sample to make estimates and test hypotheses about the characteristics of a population.A subset of the population
Statistical inference
37
Collecting data for the entire population.
Census
38
Collecting data for a sample.
Sample survey