Learning Team Reflection Essay

Statistics refers to the use of mathematical information in everyday life to calculate facts and figures in eternal circumstances. In addition, statistics refers to the scientific collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical data. This week the classs objectives were to apply the steps in examinationing a research hypothesis, to examine the bureau of two or more convocations, and to calculate the correlativity among two variables. Learning Team Ds members have reflected on each of these issues and sh be their insights on these objectives.Testing a Research hypothesisThe purpose of testing a research hypothesis is to prove or disprove the research question. The first step in testing a research hypothesis is to state the problem in the form of a question. The second step is to state the research question as it relates to the useless hypothesis and alternative hypothesis. Then the parameters must be set to test the null hypothesis. Th e fourth step is to calculate the probability of the test statistics or rejection region. Finally, the findings from the tests must be stated. The hypothesis was familiar to one group member, so she felt comfortable with the report. She did not struggle with any particular topic this week. This weeks topics directly relate to her field of study. As an restrainer it is important to have a good understanding of mean, median, and mode, as comfortably as statistical probability. These topics are all a part of attainment to analyze information and make educated and well-thought business decisions.Compare the essence of Two or More GroupsThe experimental method of comparing the instrument of two or more groups is a pretty common accompaniment in statistical research. The procedure for estimating and testing the hypothesis when using a single sample population get out also apply in a grapheme scenario with two or more groups or populationshowever, modifications are required for ac curacy. In other words, the 5-Step Hypothesis Testing procedure is utilize with multiple sample experiment, as well. Whenever the area of touch involves the differences, comparison, proportions or variability, wherefore data can be collected on two or more groupsthis would be considered the target parameter (Lind, Marchal, & Wa past, 2011). In a three-figure epitome the interest is more likely to compare means or variances whereas, a qualitative experiment with two outcomes is more likely to guidance on success or failure.When comparing the means of two or more groups these populations can both or all be free and the expectation is to make up ones mind the reason for a difference in the meansthis would deliver a result where the means are other than zero. The normal assumption is that there will be a normal scattering and that a random sample is collected for each of the populations. Another sign of comparing means of two or more groups is that when standard going away i s known or unknown and the population sample is large, then a z distribution (z-test) is apply and in the case where it is unknown and the sample size is small, then a t distribution (t-test) is used. However, in the case where the experiment calls for a test of two or more interdependent samples for one group or population, then a paired t-test is used to draw results (Lind, Marchal, & Wathen, 2011).Calculate the Correlation Between Two VariablesWhen calculating the correlation coefficient among two variables, the objective is to see how one variable is influenced by another variable. The bivariate relationship displays the connection amidst two variables (x and y) and correlation shows how to measure their relationship. The correlation is calculated using the coefficient of correlation. This measurement calculates the power between the two variables (x and y). (Coefficient correlation) The coefficient correlation will have limits between -1 and +1, and doesnt depone on the in itial values of x or y. The coefficient correlation would arouse the higher the number, the higher the correlation, and the lower the number, the lower the correlation (but this is a linear correlation). A value of zero will indicate no correlation.In conclusion, the team learned that once a hypothesis has been formed the bordering step is to test it for acceptance or rejection. An experiment must then be created to determine ifthe predictions were correct or not. In many situations the interest lies in discovering relationships between the means of two or more groups. T-tests and analysis of variance are widely used statistical methods to compare group means. Moreover, the team learned how to calculate the correlation between two variables to determine the relationship or affect of one variable upon another. The correlation between two variables suggests that a change in one variable will cause a proportional change in the other variable. roleLind, D. A., Marchal, W. G., & Wathe n, S. A. (2011). Basic statistics for business and economics (7th ed.). New York, NY McGraw-Hill/Irwin.