# PQE 018 – Educational Statistics – Course Contents

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PQE 018 – Educational Statistics – Course Contents

NB – The course has been sub-divided into each category of teachers. You are advised to prepare for all categories

 PQE 018. Educational Statistics THEMES GUIDES Category D: Category C: Category B: Category A: NCE Teachers Graduate Teachers Master Teachers Doctoral Teachers Statistical Basic statistics – collection, presenting and displaying data; statistical description of data – measures of central tendency, spreadS, Statistics and its functions. Statistical distributions and their properties. Measurement levels and applicable statistics. Concepts and process in statistics. Purpose of Statistics, descriptive and inferential statistics, Basic statistical foundations for methods in Education. educational Hypothesis formulation research and and testing. Non- measurements. parametric analysis.
 dispersion or variability; statistical inferences including estimating population values, testing hypothesis, correlation, etc. Organization of data (ordinal, simple, frequency distribution, grouped and cumulative, etc.). Graphic representation of data – Pictogram, Pie chart. Bar chart and histogram, Frequency polygon Ogive. Measures of central tendency – Mode, Median, Mean, etc. Measures of dispersion, Range, Standard deviation, etc. Decision making; types of errors. Various statistical instruments such as the Normal Distribution curve, Student‟s t-test, Stanine Scores, t-test, Analysis of Variance, Coefficient of Correlation, etc. parametric and non- parametric statistics, estimate error in measurement, nominal scale, ordinal scale, interval scale, ratio scale, statistical notation, organisation of data, classification of data, representation of data, transformation of scores, measures of central tendency, measures of variability, measures of association. Inferential statistics used in educational research. Analysis of variance and covariance in educational experiments. Regression analysis, correlation and other measures of association. Use of ICT tools in data analysis.

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