is essential to properly design a study and accurately assess studies conducted by others. Descriptive statistics basically focus on describing or summarizing data whereas inferential statistics use techniques that focus on draw conclusions regarding population from a study sample (Byrne, 2007). When using descriptive statistics, the data is described… Continue Reading...
to react logically to information one hears or reads. Furthermore, the content shows that statistics can be classified into descriptive statistics and inferential statistics. On the one hand, descriptive statistics encompass numbers that are employed to summarize and describe data. They are solely descriptive and do not take into account generalizing past the data at hand. On the other hand, inferential statistics takes into account the mathematical processes whereby the information regarding the sample is converted into intelligent guesses regarding the population as a whole. This encompasses sampling strategies, which necessitates every member of the population to have a similar chance of being selected into the sample. There are other sampling strategies… Continue Reading...
are utilized in drawing inferences concerning populations and in the estimation of parameters of such populations (Creswell & Plano Clark, 2007). Descriptive statistics are the basis upon which inferential statistics are built as well as the assumptions generalizing population from a sample selection. Through the application of ethnography theory research can interact with targeted population and retrieve fundamental information which can be studies for valuable results. Quantitative analysis can be used to come up with visual representations for data through the use of charts, tables, plots and graphs (Coogan, 2015). Researchers applying quantitative analysis can draw conclusions from argument, evidence and logic. Raw data interpretation should be directed by general guidelines for the evaluation of assertions and claims… Continue Reading...