{"id":85,"date":"2019-06-11T09:19:28","date_gmt":"2019-06-11T06:19:28","guid":{"rendered":"http:\/\/localhost\/extension\/basic-statistics-for-extension-professionals\/"},"modified":"2022-03-13T15:50:41","modified_gmt":"2022-03-13T12:50:41","slug":"basic-statistics-for-extension-professionals","status":"publish","type":"page","link":"https:\/\/www.coa.sua.ac.tz\/extension\/basic-statistics-for-extension-professionals","title":{"rendered":"Basic Statistics for Extension Professionals"},"content":{"rendered":"<p><strong>&nbsp;<\/strong><\/p>\n<ol>\n<li><strong>Course Title: EE 106<\/strong><strong>&#8211; Basic Statistics for Extension Professionals<\/strong><\/li>\n<li><strong>Course Aim:<\/strong> this is a tailor made course aimed at introducing students to some basic statistics essential for performing their role as change agent at community level<\/li>\n<\/ol>\n<p><strong>&nbsp;<\/strong><\/p>\n<ul>\n<li><strong>Course Expected Learning outcomes:<\/strong><\/li>\n<\/ul>\n<p>&nbsp;&nbsp;&nbsp; By the end of the course students should be able to:<\/p>\n<ul>\n<li>Describe some basic concepts in statistics<\/li>\n<li>Interpret the results of statistical analyses;<\/li>\n<li>Describe the basic math underlying the leading statistical procedures of social science<\/li>\n<li>Use statistical concepts to handle observations in some extension research activities<\/li>\n<li>Understand how to conduct&nbsp;&nbsp; hypothesis testing&nbsp; and estimate population parameter;<\/li>\n<li>Develop positive attitude towards using statistics in agricultural extension.<\/li>\n<li>Apply statistical knowledge and skills in the real extension situation;<\/li>\n<\/ul>\n<ol>\n<li><strong>course status: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <\/strong>Elective<\/li>\n<li><strong>Credit rating: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/strong>5 Credits<\/li>\n<li><strong>Total hours Spent:<\/strong> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 75 hours<\/li>\n<\/ol>\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lecture&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 32 hours<\/p>\n<p>Seminars\/Tutorials&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20 hours<\/p>\n<p>Practical&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0 hours<\/p>\n<p>Assignment&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15 hours<\/p>\n<p>Independent Research&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8 hours<\/p>\n<p>Pre-requisite:&nbsp; None<\/p>\n<p><strong>vii Course Content:<\/strong><\/p>\n<ul>\n<li>Descriptive Statistics for extension research: Definitions of relevant statistical terminologies; 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,<\/li>\n<li>Statistical Inferences for extension research: Elementary probability theory; introduction to probability distributions; discrete distributions<\/li>\n<li>Sampling Procedures and Distributions for extension research: Random and non-random sampling distributions<\/li>\n<li>Hypothesis testing for extension research: null and alternative hypotheses, level of significance, type one error, one tail and two tail tests. Introduction to non-parametric statistics: sign tests, rank-sum tests and randomness tests.<\/li>\n<li><a id=\"_Toc536355537\"><\/a><a id=\"_Toc339202982\"><\/a><a id=\"_Toc336780473\"><\/a><a id=\"_Toc336617199\"><\/a> Introduction to Regression Analysis<a id=\"_Toc339202989\"><\/a>; simple linear regression, How to Manipulate SPSS Software:<a id=\"_Toc339202990\"><\/a> Launching SPSS<a id=\"_Toc339202991\"><\/a>, how to enter data directly to SPSS, <a id=\"_Toc339202992\"><\/a>data management and analysis<\/li>\n<\/ul>\n<p><strong>&nbsp;<\/strong><\/p>\n<p><strong>Viii Teaching and Learning Activities<\/strong><\/p>\n<p>Teaching will involve lectures, practical, group assignments and seminar presentations, individual assignments to capture self- reading. Use of case studies in teaching for some practical aspects will be employed.<\/p>\n<ul>\n<li><strong>Assessment Methods<\/strong><\/li>\n<\/ul>\n<p>The assessments will be through continuous assessments were written timed tests (theory and practical), quizzes, seminar presentation, practical reports, and submission of individual\/group assignment papers will be used. The assessment will also include final University written examination.<\/p>\n<p><strong>&nbsp;<\/strong><\/p>\n<p><strong>&nbsp;<\/strong><\/p>\n<p><strong>&nbsp;<\/strong><\/p>\n<ul>\n<li><strong>Reading List<\/strong><\/li>\n<\/ul>\n<p><strong>&nbsp;<\/strong><\/p>\n<ul>\n<li>Nesselroader, K.P. (2019). <em>Statistical applications for the behavioural and social sciences, 2<sup>nd<\/sup> Edition.<\/em> Wiley<\/li>\n<li>Hagle, Timothy M. (1995) <em>Basic Math for Social Scientists: Concepts Sage University Papers Series. Quantitative Applications in the Social Sciences<\/em><strong>.<\/strong>Sage Publications, Inc<strong>.<\/strong><\/li>\n<\/ul>\n<ul>\n<li>William H.Greene (2003), Econometrics Analysis, 5<sup>th<\/sup> edition.<\/li>\n<li>Robert J. Beaver, Barbara M. Beaver, &amp; William Mendenhall (2006). <em>Introduction to probability and statistics<\/em> (12<sup>th<\/sup> ed.)<\/li>\n<\/ul>\n<ul>\n<li>Creswell, J W (2008) <em>Research Design: Qualitative, Quantitative, and Mixed Methods Approaches.<\/em>SAGE Publ.<\/li>\n<\/ul>\n<ul>\n<li>Bruce L. Bowermem, Richard T.O\u2019Connell, Micheal L. <em>Hand, Business Statistics in Practic<\/em>e (2nd Ed.)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Course Title: EE 106&#8211; Basic Statistics for Extension Professionals Course Aim: this is a tailor made course aimed at introducing students to some basic statistics essential for performing their role as change agent at community level &nbsp; Course Expected Learning outcomes: &nbsp;&nbsp;&nbsp; By the end of the course students should be able to: Describe [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":43,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-85","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/pages\/85","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/comments?post=85"}],"version-history":[{"count":1,"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/pages\/85\/revisions"}],"predecessor-version":[{"id":357,"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/pages\/85\/revisions\/357"}],"wp:attachment":[{"href":"https:\/\/www.coa.sua.ac.tz\/extension\/wp-json\/wp\/v2\/media?parent=85"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}