Statistics Assignment Help
Statistics is the science and practice of developing human knowledge through the
use of empirical data expressed in quantitative form. Statistics is usually considered
a distinct mathematical science rather than a branch of mathematics. Statistical
analysis involves the process of collecting and analyzing data and then summarizing
the data into a numerical form. Statistics provides tools for prediction and forecasting
through the use of data and statistical models. Statistics is applicable to a wide
variety of academic disciplines such as Finance, Insurance, and Economics. The advent
of advanced statistics techniques and software has broadened the scope of application
of Statistics to further areas.
The multiple concepts involved in Statistics are interrelated; hence students find
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About Statistics
According to standard definition, Statistics is defined as a study of mathematical
science which involves gathering, organizing, analyzing and formulating the data.
It is a diverse subject, which has lots of breath taking formulas and steps. It
is broadly divided into two main parts: Descriptive and Inferential.
Descriptive Statistics - It can be defined as procedures used to organize,
summarize and interpret a set of observation and scores. Descriptive statistics
is purely related with properties of the observed data, and does not assume that
the data came from a larger population. It is generally presented graphically, in
tabular forms or in single values. In this sort of stat, data is analyzed by the
central tendency fundamentals such as the mean, mode or median.
Inferential Statistics - It can be defined as the procedures that allow researchers
to figure out and generalize the observations made with sample to the larger population.
To draw inferences, this comprises of selecting the statistical model of the process
which generates the data and concluding propositions from the model.
Main topics covered in Statistics Assignment:
This topics list provides access to definitions, explanations, and examples for
each of the major concepts covered in Statistics Describing and displaying data
Linear regression and correlation Experiments and sampling Probability Hypothesis
tests and confidence interval
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