Regulate Statistic Text

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Four big terms in statistics are population, sample, parameter, and statistic: A population is the entire group of individuals you want to study, and a sample is a subset of that group.
Statistics is a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. In addition to being the name of a field of study, the word “statistics” also refers to numbers that are used to describe data or relationships.
Statistics are defined as numerical data, and is the field of math that deals with the collection, tabulation and interpretation of numerical data. An example of statistics is a report of numbers saying how many followers of each religion there are in a particular country.
The Importance of Statistics. Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions.
Statistics has two meanings, as in plural sense and in singular sense. Oxford Dictionary. In plural sense, it means a systematic collection of numerical facts and in singular sense. It is the science of collecting, classifying and using statistics.
A statistic (singular) or sample statistic is any quantity computed from values in a sample, often the mean. Technically speaking, a statistic can be calculated by applying any mathematical function to the values found in a sample of data.
Statistics Dictionary In an experiment, the factor (also called an independent variable) is an explanatory variable manipulated by the experimenter. Each factor has two or more levels, i.e., different values of the factor. Combinations of factor levels are called treatments.
The term statistical treatment is a catch-all term which means to apply any statistical method to your data. Treatments are divided into two groups: descriptive statistics, which summarize your data as a graph or summary statistic and inferential statistics, which make predictions and test hypotheses about your data.
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