{"id":70,"date":"2015-09-18T16:39:27","date_gmt":"2015-09-18T16:39:27","guid":{"rendered":"http:\/\/localhost\/developmentstudies\/social-science-statistics\/"},"modified":"2015-09-18T16:39:27","modified_gmt":"2015-09-18T16:39:27","slug":"social-science-statistics","status":"publish","type":"page","link":"https:\/\/www.cssh.sua.ac.tz\/developmentstudies\/social-science-statistics\/","title":{"rendered":"Social Science Statistics"},"content":{"rendered":"<h3><strong>DS 601: Social Science Statistics<br \/><\/strong><\/h3>\n<hr \/>\n<p style=\"text-align: justify;\">This course introduces basic statistical concepts and their application to social science research. The themes include introduction to elementary statistics: data collection, organisation, presentation, analysis, frequency distribution; statistical measures of central tendency and dispersion, measures of correlations, measures of symmetry and skewness, simple linear regression; Statistical inferences: probability theory and distributions; discrete distributions (e.g. poisson, binomial), continuous probability distribution (e.g. normal), methods to check normality of population; Sampling procedures and distributions: random and non-random sampling distributions e.g. student t, Chi-square, F-distribution; Analysis of variables: univariate, bivariate and multivariate, ANOVA; Hypothesis testing: null and alternative hypotheses, level of significance, type one error, one tail and two tail tests; Analysis of variance; interpretation of factorial analysis with statistically significant interaction terms; multiple regression and analysis of variance and covariance; Social science statistical packages e.g. SPSS, STATA, and their application to data management.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DS 601: Social Science Statistics This course introduces basic statistical concepts and their application to social science research. The themes include introduction to elementary statistics: data collection, organisation, presentation, analysis, frequency distribution; statistical measures of central tendency and dispersion, measures of correlations, measures of symmetry and skewness, simple linear regression; Statistical inferences: probability theory and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":50,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-70","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Social Science Statistics - Department of Development and Strategic Studies | Sokoine University of Agriculture<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cssh.sua.ac.tz\/developmentstudies\/social-science-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Social Science Statistics - Department of Development and Strategic Studies | Sokoine University of Agriculture\" \/>\n<meta property=\"og:description\" content=\"DS 601: Social Science Statistics This course introduces basic statistical concepts and their application to social science research. 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