Statistics, the science of collecting, analyzing, presenting, and interpreting data. Governmental needs for census data as well as information about a variety of economic activities provided much of the early impetus for the field of statistics. Currently, the need to turn the large amounts of data available in many applied fields into useful information has stimulated both theoretical and practical developments in statistics.

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An observational study observes individuals and measures variables of interest. The main purpose of an observational study is to describe a group of individuals or to investigate an association between two variables. We can answer questions about a population with an observational study. We can also investigate a relationship between two variables. But in an observational study, researchers do not attempt to manipulate one variable to cause an effect in another variable. For this reason, an observational study does not provide convincing evidence of a cause-and-effect relationship.

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An experiment intentionally manipulates one variable to cause an effect on another variable. The primary goal of an experiment is to provide evidence for a cause-and-effect relationship between two variables. But the experiment must be well-designed to provide convincing evidence of a cause-and-effect relationship. We study experiment design in the section "Collecting Data – Conducting an Experiment."

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Our Services

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• Advanced Probability Theory

• SPSS/ MATLAB/ MINITAB Assignments

• Multivariate Statistics

• Binomial Distribution

• Regression Analysis

• Sampling Theory

• Linear Programming

• Hypothesis Testing

• Percentiles and Quartiles

• Coefficient of Variance

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Efforts Required in Statistics Assignment Writing

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• Mathematical Ability

• Experienced Writers

• Analytical Skills

• Problem Solving Skills

• Qualified Professionals

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