Abstract

STATISTICAL ANALYSIS AND INFERENCE ON FOURTEEN MOST EFFECTED COUNTRIES ON POLIO DATA: A ECOLOGICAL STUDY

Muhammad Jibran Khan M.phil pharmaceutics from Gomal University Dera Ismail Khan, Muhammad Aman Khan M.phil Pharmaceutical Chemistry from Gomal University Dera Ismail Khan and Irfan Ullah Phd Computer Science Scholar

ABSTRACT

Data obtained from the website and the source was ourworldindata.org.[1] Fourteen world regions and countries were selected for statistical analysis. The fourteen regions and the countries of the world were Afghanistan, Bangladesh, Egypt, India, Iran, Nigeria, Pakistan, china, Africa, Eastern Mediterranean, Europe, South East Asia, Western pacific and World. The source of the website has the data from 1980 to 2016 about the number of reported polio cases, the number of estimated polio cases and the number of polio cases per million population. In part one the number of estimated polio cases were generally higher than the number of reported polio cases. Statistical analysis like descriptive statistics: Minimum value, Maximum value, mean, standard deviation and variance was calculated. Paired sample t test was performed in the reported and estimated polio cases. In the second part Correlation among these regions were calculated and statistical inferences were formed. In the third part Regression equation linear, multiple and quadratic equation was formed in the three endemic countries Pakistan, Afghanistan and Nigeria.[1]

Keywords: .