unit 6 ass.docx - Running head UNIT 6 ASSIGNMENT 1 Unit 6 Assignment 1 Student Name Capella University 1 UNIT 6 ASSIGNMENT 1 2 Unit 6 Assignment 1

unit 6 ass.docx - Running head UNIT 6 ASSIGNMENT 1 Unit 6...

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Running head: UNIT 6 ASSIGNMENT 1 1 Unit 6 Assignment 1 Student Name Capella University Subscribe to view the full document.

UNIT 6 ASSIGNMENT 1 2 Unit 6 Assignment 1 Section 1 of the DAA Introduction In the below study, i will analyze the correlation between the variables gender, final, total, gpa and total within the grades.sav data set and try to determine any significant relationship among them. The study below will particularly find the correlation between gpa and final. The grades.sav dataset have information on 105 students with respect to their statistic qualities, for instance, ethnicity and gender, and in addition their gradea on five tests and the last test of the year. In the data set contains four varibles: The GPA variable has the student's previous GPA and has a ratio scale of measurement. The total variable has the aggregate points earned in all tests and final exam and has a ratio scale of measurement.The final varible has the points earned in the final exam test and has a ratio scale of measurement. Since the gpa, total and final are known to be continous varibles, for every pairwise correlation between them, either Pearson’s coefficient r will be utilized, contingent upon whether the correlation assumption hold. Since gender orientation is a dichotomous variable, for every relationship amongst's gender and the other three varibles the point-biserial coefficient r will be utilized. The sample size of the data set is 105. Section 2 The Pearson's correlation coefficient r is a measure of the strenths and course of relationship that exists between two varibles (Little & Rubin, 2014, p.234), to be specific Y and X, measured on an interim or ratio scale. The first assumption is that the data for the variables ought to be identical with each other; such that the data ought to be paired dat. UNIT 6 ASSIGNMENT 1 3 Secondly, it is assumed that the data for the given variable is taken from the normally distributed populaces for the respective variables; such that X and Y variables must have bivariate normal distribution. Thirdly, the data must have a linear relationship between each other. In checking the linear correlation, its of importance to confrim whether there is a any pattern of relationship that exists or not. For checking this patterni i used a scatter diagram. The Subscribe to view the full document.

UNIT 6 ASSIGNMENT 1 4 scatter chart for the gpa and final is given as follows UNIT 6 ASSIGNMENT 1 5 Subscribe to view the full document. • Summer '16
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