INTRO Flashcards

(19 cards)

1
Q

Statistics comes from the Latin word “_______”
which means “______”

A

1.) STATUS

2.) STATE

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2
Q

a collection of quantitative data

A

STATISTICS

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3
Q

STATISTICS is a science, which deals with the….

A

1.) COLLECTION
2.) PRESENTATION
3.) ANALYSIS
4,) INTERPRETATION

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4
Q

A tool that helps us develop
general and meaningful conclusions that go
beyond the original data.

A

STATISTICS

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5
Q
  • deals with the methods of ORGANIZING,
    SUMMARZING and PRESENTING a mass of data
    so as to yield meaningful information.
  • can be verified from the
    given data.

EX:
Given data:

Of 350 randomly selected people in the town
of Luserna, Italy, 280 people had the last
name Nicolussi.

 Example of:
80% of these people have the last name
Nicolussi

A

DESCRIPTIVE STATISTICS

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6
Q

deals with making GENERALIZATIONS
about a body of data where only a part of it is
examined.

This comprises those methods
concerned with the analysis of a subject of
data leading to PREDICTIONS or
INFERENCES about the entire set of data.

A

INFERENTIAL STATISTICS

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7
Q

the set of all individuals or entities under consideration or study.

It may be a finite or infinite collection of
objects, events, or individuals, with specified
class or characteristics under consideration.

A

POPULATION

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8
Q

a characteristic of interest measurable on each and every individual in the universe, denoted by any capital letter in
the English alphabet

A

VARIABLE

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9
Q

consists of categories or attributes, which have NON numerical characteristics.

Ex: Year level of students, gender, subjects
enrolled in this semester, diseased versus
healthy, mutant versus wild type

A

QUALITATIVE VARIABLE

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10
Q

Consists of numbers representing counts or
measurements.

A

QUANTITATIVE VARIABLE

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11
Q
  • results from either a finite number of possible values or a countable number of possible values.

Example:
 Number of students, number of books, number of
flights, number of pairs of shoes

A

DISCRETE QUANTITATIVE VARIABLE

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12
Q
  • results from infinitely many possible values
    that can be associated with points on a
    continuous scale in such a way that there are
    no gaps or interruptions.

Example:
 height, weight, grade point average, time

A

CONTINUOUS QUANTITATIVE VARIABLE

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13
Q

a part of the population or a subcollection of elements drawn from a population.

A

SAMPLE

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14
Q

1.) a numerical measurement describing some characteristics of a population.

2.) a numerical measurement describing some characteristic of a sample.

A

1.) PARAMETER

2.) STATISTIC

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15
Q

1.) often conducted to gather opinions or feedback about a variety of topics.

2.) gathering information from the entire population.

3.) gathering information only from part of the population.

A

1.) SURVEY
2.) CENSUS
3.) SAMPLING

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16
Q

characterized by data that consists of
names, labels, or categories only.

Example:
name, religion, civil status, address, sex,
degree program

17
Q

» involves data that may be arranged in some order,
but differences between data values either cannot
be determined or are meaningless.

Example:
military rank, job position, year level

18
Q

like the ordinal level, with the additional property
that meaningful amounts of differences between
data can be determined. However, there is no
inherent (natural) zero starting point

Example: IQ score, temperature (oC)

19
Q

» is the interval level modified to include the
inherent zero starting point. For values at
this level, differences and ratios are
meaningful.

Example: height, width, area, weekly
allowance