INTRO Flashcards
(19 cards)
Statistics comes from the Latin word “_______”
which means “______”
1.) STATUS
2.) STATE
a collection of quantitative data
STATISTICS
STATISTICS is a science, which deals with the….
1.) COLLECTION
2.) PRESENTATION
3.) ANALYSIS
4,) INTERPRETATION
A tool that helps us develop
general and meaningful conclusions that go
beyond the original data.
STATISTICS
- 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
DESCRIPTIVE STATISTICS
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.
INFERENTIAL STATISTICS
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.
POPULATION
a characteristic of interest measurable on each and every individual in the universe, denoted by any capital letter in
the English alphabet
VARIABLE
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
QUALITATIVE VARIABLE
Consists of numbers representing counts or
measurements.
QUANTITATIVE VARIABLE
- 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
DISCRETE QUANTITATIVE VARIABLE
- 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
CONTINUOUS QUANTITATIVE VARIABLE
a part of the population or a subcollection of elements drawn from a population.
SAMPLE
1.) a numerical measurement describing some characteristics of a population.
2.) a numerical measurement describing some characteristic of a sample.
1.) PARAMETER
2.) STATISTIC
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.
1.) SURVEY
2.) CENSUS
3.) SAMPLING
characterized by data that consists of
names, labels, or categories only.
Example:
name, religion, civil status, address, sex,
degree program
Nominal
» 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
Ordinal
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)
Interval
» 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
Ratio