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

Statistics Project - Research Paper ExampleSo aaccording to minded(p) conditions we state that null hypothesis and alternative hypothesis result beThere are dissimilar statistical mail boats designed to carry out quantitative selective information analysis, the most widely used package is SPSS. SPSS enables the researcher to input raw data modify or reorganize the data once inputted and thusly perform a wide selection of analytical techniques (Blaxter, Hughes & Tight 2001).The scales utilized within the test instruments will be designed to denote the use of detailed statistical algorithms on collected data. Preliminary data analysis will include descriptive statistics, which will encompass univariate analytic techniques such as means, modes and amount deviations, and exploratory descriptive statistics, which will ascertain if the data collected, is normally distributed.So the Pearson correlation (r) of popularity and math pull ahead is equal to -0.368. So according to this sma ll value of correlation coefficient we conclude that there is a week negative association amid these variables. This may imply as popularity level increases, math test tons decreases and vice versa.We use correlation method to determine whether some variable thats not under our reserve is associated - correlated - with another variable of our interest. Correlational studies aim at identifying relationships in the midst of variables.So i running play StatisticBy using formulat = , = = = -1.1194Scatter PlotCritical Regiont 2.048Do not reject Ho, because the calculated value is not fall in the critical region. ConclusionDo not reject null hypothesis so we conclude that there is no significant running(a) 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 Descriptive procedure displays univariate summary statistics for several variables in a wholeness table and calculates standardized values (z scores). Variables can be ordered by the size of their means (in hike or descending order), alphabetically, or by the order in which we select the variables. Simple it is a profitable procedure for obtaining summary comparisons of