Thursday, December 19, 2019

Advantages And Disadvantages Of Descriptive And...

Descriptive and Inferential Statistics Statistics has been a form of research for many years. There are several professions that depend on statistics to help their research to grow and flourish within society. Professions like psychology and medicine often use some sort of statistics to help them better understand their work. There are two types of statistics that are used often in research. There is descriptive statistics and inferential statistics. Throughout this paper, I hope to explain the distinct roles each play. I also hope to give a clear overview of the advantages and disadvantages of each. Descriptive statistics is meant to deliver information concerning an immediate collection of data. â€Å"This collection is sometimes called a†¦show more content†¦It also can affect confidentiality and subjectivity. Inferential statistics has a semi-different role to play in research than descriptive statistics. â€Å"Inferential statistics are used to make inferences from a smaller group of data to a possibly larger one† (Salkind, 2014, p. 9). It is designed to produce the conclusion, estimates or predictions for the sample (Anderson, 2017). The function of this type of statistics is to give an overview of the population. Researchers can â€Å"draw inferences about populations based on the findings from a random sample, which represents the population† (Raines, 2013, p. 289). There are other concepts used when researchers are working with inferential statistics. They use hypothesis testing and point estimation. These â€Å"two concepts of inferential statistics help in making inference about population from samples† (Gupta, 2012, p. 143). There are advantages and disadvantages when working with inferential statistics. The advantages seem to outweigh the disadvantages. Research has suggested that inferential statistics has the advantage over descriptive statistics when it comes to producing more detailed information. Inferential statistics can produce cause and effect while making predications and it provides insight between variables (Anderson, 2017). The disadvantages that can hinder the use of inferential statistics is that it can â€Å"be quite difficult to learn and use properly† (Anderson, 2017, p. 20). ItShow MoreRelatedWhat Does A Drink Affects People s Memory?1067 Words   |  5 Pagesnot the other and then give them a memory test. An advantage of experiments is that the researcher can prove weather one variables causes a certain outcome. Correlational study is when a researcher is examining the relationship between two or more variables. A purpose of this is to see if two or more things can have an i mpact one each other. An advantage to this is that researchers can see if two variables relate to each other. 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