EXAM SPECIAL // MPC 006(IGNOU) whole syllabus(NUMERICAL)

Parametric and Non-parametric Statistics – difference, assumptions, advantages, disadvantages Correlation – multiple, partial, point biserial, tetrachoric Normal Curve – properties of Normal Probability Curve, factors causing divergence Null Hypothesis and Hypothesis testing & errors Regression Equation Linear and Non-linear relationship & meaning Levels of measurement ANOVA – advantage, disadvantage Differentiate between descriptive and Inferential Statistics Wilcoxon Matched Pair Signed Rank Test Kendall Tau Divergence in normality Variance Degree of Freedom Linear Regression Type I and Type II Errors Graphical Presentation of data Level of Significance Numericals of: ANOVA(ONE WAY) Mann – Whitney U test Chi – square Kendall’s Tau Spearman’s Rho Regression Equation for X and Y HOW TO GIVE RANKING -    • Ranking Like a PRO! Mastering Tied Ranks M...   LAST YEAR QUESTIONS WITH SOLUTION -    • MAPC 006 PREVIOUS YEAR QUESTIONS   INSTAGRAM ID - r_o_n_y__n_e_e_l #ignou #psychology #exam_syllabus