Therefore, it is imperative to use the three main steps. Organizing involves, grouping the data collected according to the patterns formed by the data collected. Organizing the data will help the researcher to store easily and retrieve without confusing with other stored data. Description involves delineating the data collected. The large amounts of data collected have different features and characteristics. Describing them will be imperative, as it will help the researcher to identify data with the similar characteristics. In addition, description helps in data organization. The final step in the inductive process is interpreting, interpreting involves analyzing, assessing and elucidating the data collected in order to fathom. Interpreting, further, is important as it helps in finding solution to the research problem; it also helps in finding the most accurate conclusion.
Every data collected has to include statistics. Statistics helps in understanding patterns presented in data collected. Nevertheless, in order to realize a pattern formed by data collected, researchers should collect data more than three times (Calhoun, 2008). Statistics involves collecting, organizing and interpreting numerical figures (Calhoun, 2008). Quantitative data is interpreted with statistics. Researchers can use expressive and inferential when analyzing data statistically. Both descriptive and inferential statistics have similar ways of quantifying data but differ in different strategies. Both statistics involves more than one group. In addition, if researchers are analyzing one group of people they can use both statistics more than once. Researchers can use both statistics to find the hypothesized results depending on the type and method of collecting data. Despite the similarities in descriptive and inferential statistics, they differ in the methods of analyzing data. Descriptive statistics uses mathematical procedures that help in organizing and ...
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