Statistics Project Research Paper Example | Topics and Well Written Essays - 2000 words

Statistics Project - Research Paper ExampleSo aaccording to given conditions we state that null hypothesis and alternative hypothesis will be on that point are various statistical packages designed to carry out quantitative data analysis, the most widely used package is SPSS. SPSS enables the researcher to input rude data modify or reorganize the data once inputted and then perform a wide selection of analytical techniques (Blaxter, Hughes & Tight 2001).The scales utilized deep down the test instruments will be designed to denote the use of detailed statistical algorithms on collected data. Preliminary data analysis will hold descriptive statistics, which will encompass univariate analytic techniques such as means, modes and standard deviations, and exploratory descriptive statistics, which will ascertain if the data collected, is normally distributed.So the Pearson correlation (r) of popularity and math scores is equal to -0.368. So according to this small value of correlation c oefficient we conclude that there is a week negative association amid these variables. This may imply as popularity level increases, math test scores decreases and vice versa.We use correlation method to determine whether some variable thats not under our control is associated - correlated - with another variable of our interest. Correlational studies aim at identifying relationships amongst variables.So iTest StatisticBy using ordert = , = = = -1.1194Scatter PlotCritical Regiont 2.048Do not reject Ho, because the calculated value is not fall in the tiny region. ConclusionDo not reject null hypothesis so we conclude that there is no prodigious linear association/relationship between level of popularity and math test score.So in the relationship between childrens level of popularity with their peers and their performance in academic tests they respond that there is no significant relationship between these popularity level and their maths scores. Descriptive StatisticsThe Descri ptive procedure displays univariate summary statistics for several variables in a single table and calculates standardized set (z scores). Variables can be ordered by the size of their means (in ascending or descending order), alphabetically, or by the order in which we select the variables. uncomplicated it is a useful procedure for obtaining summary comparisons of