Descriptive Statistics Essay - 1375 Words.
Descriptive statistics consists of techniques involving collecting, tabulating, presenting and summarizing information in clear and the effective ways in order to describe the set of data while inferential statistics involves the techniques of analyzing sample results to draw conclusion about the population both term are considered for my research.
Descriptive statistics are applied to populations, and the properties of populations, like the mean or standard deviation, are called parameters as they represent the whole population (i. e., everybody you are interested in).Often, however, you do not have access to the whole population you are interested in investigating, but only a limited number of data instead.
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Descriptive Statistics 15th May Descriptive statistics are the various ways and techniques that qualitative sets that are large in numbers can be summarized into.
The Second Type of Descriptive Statistics The other type of descriptive statistics is known as the measures of spread. This type of statistics is used to analyze the way the data spread out, such as noticing that most of the students in a class got scores in the 80 percentile than in any other area.
Moule (2015) provides a clear definition of both descriptive and inferential statistics. Descriptive statistics represent results and are more centered in explaining properties about a population or data set while inferential statistics are used to infer or measure the probability that an observed outcome or difference is dependable or an aspect of chance.
Statistics should be used to substantiate your findings and help you to say objectively when you have significant results. Therefore, when reporting the statistical outcomes relevant to your study, subordinate them to the actual biological results. Top of Page. Reporting Descriptive (Summary) Statistics.