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Applied Statistics) - Coggle Diagram
Applied Statistics)
Introduction to statistics
Statistics Applications
Statistics is a powerful adjunct to many sciences and
human activities.
Statistics Divisions.
Statistics are traditionally divided into Descriptive Statistics, Inductive Statistics or Statistical Inference
History of Statistics
.
Around 3000 B.C. the Babylonians already used
small clay tablets to collect data in tables
What is Statistics ?
is the science that studies data sets and
its interpretation in mathematical terms.
Data Collection and Presentation
Boards.
Data can be collected in various ways: questionnaires, samplings,
censuses, observations, etc.
Graphical Data Presentation - Part A
Histograms are vertical bar charts in which bars are constructed
rectangular at the boundaries of each class.
Basic concepts
Population, sample, individual, variable, census, sampling.
Graphical Data Presentation - Part B.
In the bar graph, each category is described by a bar, the length of which represents the frequency or percentage of observations that fall into a category. To construct a bar graph the following suggestions are made.
Measures of central tendency
Average or Average
. It is calculated by adding all the data and then dividing the
total between the number of data involved
Median
It is the mean value of an ordered sequence of data
Definition of Central Tendency Measures
One of the most salient characteristics of the data distribution is its tendency to accumulate towards the center of it.
fashion
In a series of data, the mode is the value that is repeated the most, the one that appears with the most
frequency
Deviation Measures
Rank
Range is the difference between the highest and the lowest observation in a data series.
Variance and Standard Deviation
The variance and the standard deviation take into account how the
observations.
Definition of Deviation Measures
Although we have the measures of central tendency that indicate the center of a set of data, many times these measures do not show us the reality by
full.
The Coefficient of Variation
. To compare the dispersion of variables that appear in different units (meters,
kilos, etc.) or that correspond to extremely unequal populations, is
It is necessary to have a measure of variability that does not depend on the units or
the size of the data.