HLM 305 — Statistics and Field Experimentation in Horticulture
HLM department course · Nigerian universities
Study HLM 305 the smart way
Sage already knows this exact syllabus — ask it anything about Statistics and Field Experimentation in Horticulture, generate practice questions in your exam's format, and get a cram sheet that works offline.
What you'll be able to do (official learning outcomes)
estimate frequency distribution, measures of location and measures of dispersion
compute normal and binomial distribution, 365 New Agricultural Science
perform sampling operation, data collection, data processing techniques, statistical inference, tests of hypothesis: F-test, T-test, Chi-square
estimate analysis of variance, analysis of covariance, correlation and regression analysis. Goodness of fit, and
formulation of research objectives, perform field experimentation, collection and processing of data
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.
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study HLM 305.