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Descriptive statistics

it deals with the methods to organize the numerical information for a better interpretation (contributors, 2019)

topics to talk about

"These are numerical answers that arise from a counting process, always being an integer. * Number of family group members * Number of classrooms "(Stuart2012.pg 6)

discrete

qualitative variables

requires a hierarchical order "our values ​​are names or codes but with an intrinsic order relationship between them (Rustom, 2012, pg 12)

measure quantities it's divided in

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Nominal

they are expressed in numerical form

Ordinals

quantitative variables

no specific order

"These are numerical answers that arise from a measurement process, which can take values ​​between two whole numbers" (Estuardo, 2012Pg6)

P(A=1-P(A)

Probability of complement

P(A)=SUMATORIA/E.M

Simple probability

types

relationship between event and sample

Probability

it is done with large or "continuous" values

grouped data

it is done with small or "discrete" values

Ungrouped data

allows to sort the data in numerical way, with the intention of distributing a set of samples

Frequency table

*Ishikawa's diagram *Dispersion diagram *Bar chart * Circular diagram

types

Diagrams

odd n+1/2

peers n/2

medium

central tendency

analyze data obtained from specific values

trend measures

P(A/B)=P(AnB)/P(B)

Conditional probability

P(AUB)=P(A+P(B)-P(AnB)

Probability of intersection

* range: difference between maximum and minimum value

* variance: variety of data with respect to the median

* deviation: how scattered the data is, according to fashion

measures of dispersion

X=E Xi-Fi/N

Media

most repeated value

fashion