Stage 1

Science responsible for collecting, organizing, summarizing presenting analyzing and interpreting data to reach concussions from them

Statistics

Responsible for the collection organization presentation in analysis of data from a population

descriptive statistics

Responsible for analyzing the information presented by descriptive statistics

Inferential statistics

Set of all the individuals on which the study will be carried out

Population

Population which it is possible to enumerate the elements of said population

Finite population

Population where the number of elements in the population is not known

Infinite population

Set up all the data obtained when measuring a variable in the elements of a population

Statistical population

Representative subset of the population from which inferences are made regarding the population to which belongs

Sample

It is simple in which Each element of the population has the same probability of being selected to be part of it

Probabilistic sample

It is a simple that is not obtained by a random selection process, but through the accessibility criteria or judgment

Non-probabilistic sample

It refers to each of the elements that belong to the population which can be measured or qualified

Individual o statistical unit

Characteristic of the population or of the sample whose measurement can change its valley

Variable

Variable that represents non-numeric qualities attributes or characteristics like marital status, hair color or profession

Qualitative variable

Variable represented numerically like weight height or eight

Quantitative variable

Quantitative variable whose values are represented by the set of real numbers

Continuous variable

Quantitive variable whose values are represented by the set of natural numbers

Discrete variable

Quantity or qualitative variable that can only take two Values

Dichotomous variables

Value obtain for each individual of the population or study sample according to the variable that is established for the measurement

Datum

On this type of scale, the data are labels to identify classified like profession, Registration, brand.

Nominal scale

On this type of scale, the data indicates a relative position, so there is an order between them like the classification of soccer teams or the levels of satisfaction for service

Ordinal scale

On this type of scale that represents magnets in the distance between the scale values is equal this is scale does not have a zero like the measurement of IQ, temperature and altitude.

Interval scale

On this type of scale zero is a value that indicates the absence of the measure characteristic like weight, height or age.

Ratio scale

Locations from which information comes

Data sources

That sources that consist of obtaining data by consulting available sources of information such as books, magazines, electronic sources, and files

Documentary research

Data source that consists of a set of questions regarding one or more variables to be measured within a population under study

Survey

Data source planned and controlled procedure used into scientific research to obtain information that allows to know the behavior or some process

Survey

Method used to order quantitative data data in which a Stem is created with the digits the represent the largest place values in the data set

Stem and leaf plot

Method which consists of dividing each stem into two groups

Double stem plot

Joint representation of the data in the form of a table or data group responding to the study situation and is organized according to the number of observations

Distribution or frequency table

It is the number of times data appears

Absolute frequency (f)

Set of quantitative data between two values called limits, lower limit and upper limit

Class interval