data management Flashcards

(32 cards)

1
Q

is a process by which information is acquired and
processed to ensure the accessibility and reliability of
the data for its users

A

Data Management

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2
Q

is a science which deals with the collection,
organization,presentation, analysis, and interpretation
of data so as to give a more meaningful information.

A

Statistics

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3
Q

One of the most important tool in processing and
managing such information is statistics

A

Data Management

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3
Q

subdivided into two branches, namely: descriptive
statistics and inferential statistics

A

Statistics

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4
Q

refers to the collection,
organization,summary, and
presentation of data

A

Descriptive Statistics

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5
Q

deals with the interpretation and
analysis of data where
conclusion is drawn based from
the subset of the population.

A

Inferential Statistics

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6
Q

Examples are hypothesis testing
and regression analysis

A

Inferential Statistics

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6
Q

Examples are the measures of
location, measures of
variability, skewness and
kurtosis

A

Descriptive Statistics

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7
Q

Is a characteristic or attribute that can assume
different values in different persons, places, or things.

A

VARIABLE

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8
Q

includes age, race, gender, intelligence, personality
type, attitudes, ethnic group or patients, height,
weight, heart rate, marital status, eye color, etc.

A

VARIABLE

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8
Q

data which can assume values that
manifest the concept of attributes.

A

Qualitative Variables

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9
Q

data are obtained from counting or
measuring.

A

Quantitative Variables

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10
Q

are sometimes called categorical
data.

A

Qualitative Variables

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11
Q

Numerical data which represents the
numerical value i.e. how much, how often,
how many

A

Quantitative Variables

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12
Q

Numerical data gives information about the
quantities of a specific thing e.g. height,
length, weight, test score, and so on.

A

Quantitative Variables

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13
Q

this type of data can’t be
measured but it can be counted.
e.g. number of students in a
class

A

Discrete Variables

13
Q

e.g. person’s gender, home town,
birthdate, post code, marital status,
eye color, etc.

A

Qualitative Variables

14
Q

e.g. variables found in surveys, finance, economics,
questionnaires, and so on.

14
Q

Continuous data has an infinite
number of probable values that can
be selected within a given range.

A

Continuous Variables

14
Q

contains only a finite number of
possible values.

A

Discrete Variables

15
Q

values in the variable are used to label or classify variables.
_______ data has no order.

15
Q

This type of data can’t be counted
but it can be measured. e.g.
temperature range

A

Continuous Variables

15
Q

words, letters and alpha numeric symbols can be used.

16
Q

Ordinal data follows a

A

natural order

16
values represent discrete and ordered units.
ordinal
17
___ values data do not have a true zero point.
Interval
17
values tell the distances between the measurements in addition to the classification and ordering.
Interval
18
e.g. school type (public, private), religious affiliation (Catholic, Christian, Protestant, Muslim), in a survey 1 used to represent male and 2 used to represent female
Nominal
19
___ values also order units that have the same difference.
Ratio
19
e.g. temperature, the 0ºC
Interval
20
is the most informative level of measurement. The combination of first three levels of measurements.
Ratio
21
___ values the same as interval values, with difference that they have an absolute zero. e.g. height, weight, length,etc.
Ratio