SMF 3261: STATISTICS (45 LH)

Pre-requisites: SMF 3111

PURPOSE OF THE COURSE

To give the student of Agriculture a good grounding in the basics of Probability and Statistics.

EXPECTED LEARNING OUTCOMES

By the end of the course the learner should be able to:

Solve problems in probability
Determine standard probability distributions of discrete and continuous variables

Make inferences from samples with respect to confidence intervals and tests of hypotheses.

COURSE CONTENT

Fundamentals of statistics: variables and measurements; nominal, ordinal, interval, scale. Data collection techniques. Data classification, principles of data tabulation and graphic representation of data. Sampling techniques; probabilistic, non-probabilistic exploratory data analysis, data screening and transformation techniques. Measure of central tendency for grouped and ungrouped data; average, median, mode. Measures of dispersion: spread, range, mean deviation, variance and standard deviation, quartiles, deciles and percentiles. Probability; Definitions, probability Axioms, compound events, conditional probability, independent and mutually exclusive events, tree diagrams. Simple linear regression. Random variables. Discrete probability distributions and density function; Bernoulli, binomial and Poisson. Continuous probability distributions and density functions: normal, student’s sampling distributions. Statistical inference. Estimation; Point estimates, interval estimation. Confidence intervals. Test of hypothesis: parametric test; normal z test, F and t test, non-parametric test; chi-square test