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AGRC 212 — Introductory Statistics

Agriculture · University of Ghana

Descriptive Statistics: Graphical Forms and Charts; Measures of Central Tendency; Summary Statistics; Measures of Dispersion. Probability and Sampling Distributions: Normal Distribution; Student‘s t-distribution; F-distribution; x²-distribution. Sampling: Simple Random Sampling; Stratified Sampling; Cluster Sampling; Independent Samples and paired observations. Estimation and Hypothesis Testing: Bias, Precision, Accuracy; Type I and Type II Errors; One Sample Hypothesis; Two-Sample Hypothesis. Chi-Square Analysis and Contingency Tables Correlation Analysis: Types of Correlation, Rank, Product Moment (standard Correlation) Dichotomous Nominal, Point Biserial, Intraclass, etc. Test for significance of Correlation; Comparisons of Correlations. Simple Linear Regression: Assumptions and Pitfalls; Least Squares Estimation of parameters; Test of Significance/ Comparing Linear Regression models Introduction to Analysis of Variance: The Simple One-Factor Model; Two-Factor Models/Interactions of Factors in Analysis of Variance.

Credits
3
Level
Level 200
Semester
Semester Two

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Course details from University of Ghana Volume 3 Handbook for the Bachelor's Degree: Course Descriptions for Programmes in the Sciences (2017).