Learning outcomes of Statistics for Managers Research Paper

Learning outcomes of Statistics for Managers - Research Paper ExampleIt is important for spate to put statistics in practice even if they do not understand statistical methods well (Anderson, Sweeney & Williams, 2011).Descriptive statistics are numbers that are exercisingd to explore information in a more than meaningful way such that a person can understand the data with no need of explanation. In descriptive, data more explained in such a way that images or patterns may emerge from the data presented. This helps those that cannot read and understand what the data means to study the image or patterns well so that they can be able to understand the data well. Descriptive statistic is of more importance if the data was to presented in a raw data it could be difficult for some of us to understand the data especially if one has a lot of data to go through. According to Leblanc (2004), descriptive statistics enables people to present their data in a more meaningful way for easy interp retation of the data. For example, a certain number of students in school mould for an exam then their teacher want to get by the boilersuit performance of those students. He or she will have to apply descriptive statistics to get the overall of his or her students.Inferential statistics is more concerned in making inference or predictions of a give population through analyses and observation of the sample. In inferential statistics the data is generalized together as opposed to descriptive statistics where data is more interpreted in a meaningful way. As such, analysts can take the results obtained from an analysis using a study sample, and then generalize this information for use in the larger population represented by the sample. Silverman (1986), argues that it is imperative to use a representative sample of the group being generalized in order to achieve this fete effectively. Some of the key tests of significance considered under the upshot of generalization include a T-tes t or a Chi-square, which explores the probability of the results