Exploratory Data Analysis Using the dataset Chamorro-Premuzic. sav. explorative statistical analysis was carried out on the variables in the dataset. Scatter secret plans were formulated t give a clear ocular position of the information for Extroversion and Agreeableness. Descriptive statistics were besides formulated for the variables. 2. Decision about the losing informations 3. Correlation A correlativity analysis was carried out on the information for Extroversion and Agreeableness.

4. Arrested development. A arrested development analysis was carried out on the information for Extroversion and Agreeableness to analyze whether or non one can foretell if a pupil wants a lector to be extroverted utilizing the student’s extraversion mark. The analysis was two-tailed since the reply sought to find if the pupil wants a lector to be extroverted or non. and therefore any divergence from the reply either positively or negatively would take to rejection of the void hypothesis. ( Triola. 2009 ) 5. Multiple Arrested development

A multiple arrested development analysis was carried out to find whether age. gender. and student’s extraversion can foretell if a pupil wants the lector to be extroverted. ( Lewicki. 2007 ) Part B. Applying Analytic Schemes to an Area of Research Interest 1. Research country of involvement. The research was aimed at analyzing the relationship between extraversion and Agreeableness by lector and pupils on what to see for extraversion. a. Pearson Correlation A parametric correlativity analysis that seeks to place any relationship between two variables. B.

Spearman’s Correlation This is a correlativity analysis that is non-parametric and aimed at placing any relationship between two variables. c. Partial Correlation vs. Semi-Partial Correlation Partial correlativity analysis is an analysis that seeks to place the grade of a relationship between two variables when commanding factors has been introduced in the analysis. Semi-partial correlativity analysis is an analysis that seeks to command the consequence of a 3rd variable in multiple arrested development and so happening the relationship between the staying two variables.

The method nevertheless retains the fluctuation caused by the 3rd variable that is removed from the equation. d. Simple Regression e. Multiple Regression f. Logistic Regression Logistic arrested development is a arrested development that seeks to place the chance of happening of an event in a logit map. The arrested development theoretical account is used for binomial arrested development theoretical accounts. Mentions Hill. T. and Lewicki. P. ( 2007 ) . Stataistics Methods and Applications. London: Croom Helm. Triola F. ( 2009 ) . Elementary Statistics ( 11th Edition ) . New York. ACM.