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Statistics, as a discipline, is chock full of different kinds of tests and analyses, each helpful in its way for the interpretation of data. For example, students frequently face assignments asking them to do Chi-Square Tests, which analyse so-called categorical data, or tasks requiring the use of ANOVA (Analysis of Variance), which is crucial for comparing means between different groups.
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Statistics assignments frequently involve complex data sets and detailed analysis. For example, a student might be asked to use Descriptive Statistics (to look for the main characteristics of data) or Inferential Statistics (which concludes it). Rather than overwhelming you with these data sets, our team helps to demystify them so they are manageable and understandable.
An important aspect of statistics is its use in solving practical problems. Statistics are vital in medical testing to see how effective a new drug is or in business studying consumer behaviour trends. Indeed, our service is all about applying what you have learned to these practical situations, thus sometimes helping us solve problems in the real world.
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Descriptive Statistics: Definition, Overview, Types, Example. (n.d.). Investopedia. Retrieved December 27, 2023, from https://www.investopedia.com/terms/d/descriptive_statistics.asp
Inferential Statistics—An overview | ScienceDirect Topics. (n.d.). Retrieved December 27, 2023, from https://www.sciencedirect.com/topics/medicine-and-dentistry/inferential-statistics