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The results stand alone. This is because these results add to existing statistical knowledge and insights on multiple regression. The results also indicate how the exchangeability structure can be achieved among the predictor variables.
Make sure you understand the context from which a statistic emerges. Don't overuse statistics. Use startling statistics that defy the audience's expectations. Repeat key statistics at least once for emphasis. Use a variety of numerical representations (whole numbers, percentages, ratios) to convey information.
Because data represent facts, incorporating statistics in your persuasive speech can be an effective way of adding both context and credibility to your argument. Your audience is much more likely to believe you if you incorporate statistics. These visuals are often easier to understand than raw data.
Effect on reader Statistics refer to factual, numerical evidence within a Language Analysis piece and are generally convincing for two reasons. Firstly, they highlight the logical importance of the issue and provide evidence for the writer's contention. Statistics provide a type of evidence that is difficult to refute.
Statistics (and facts) — statistics are numbers or facts that are used to provide convincing information. The reader will feel that they cannot argue with facts and that statistics will prove what the writer is saying. They are used to convince a reader and to add factual weight to an argument.
Two types of statistical methods are used in analyzing data: descriptive statistics and inferential statistics. Descriptive statistics are used to synopsize data from a sample exercising the mean or standard deviation. Inferential statistics are used when data is viewed as a subclass of a specific population.
The two main branches of statistics are descriptive statistics and inferential statistics. Both of these are employed in scientific analysis of data and both are equally important for the student of statistics.
The two branches of statistics are inferential and descriptive. A. Descriptive statistics summarize and describe data. Inferential statistics use data from a sample to answer questions about a population.

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