Official NUC CCMAS syllabus

AGE 305 — Data Science and Statistical Computing

AGE department course · Nigerian universities

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What you'll be able to do (official learning outcomes)

explain the properties of data
determine appropriate sampling techniques and the use of different data collection instruments
analyse cross-sectional and time series data and interpret the results
formulate hypotheses and make decisions using appropriate test statistics; and
apply correlation and regression analyses to solve agribusiness problems

Course contents

Basic concepts of statistics. Frequency distribution, measures of location, measures of dispersion. Probability distribution. Normal and binomial distribution. Sampling data collection, data processing techniques, statistical inference, tests of hypothesis – F-test, T-test, Chi-square. Analysis of variance, analysis of covariance.

Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study AGE 305.

AGE 305 — Data Science and Statistical Computing

What you'll be able to do (official learning outcomes)

Course contents

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