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HCSTAT 300: Statistical Methods and Data Analysis for Food Sciences
Instructor: Mr Charles Iwuji
Email: charles@hostclass.net
Web: https://hostclass.net/
Course Name: STATISTICAL METHODS AND DATA ANALYSIS (HCSTAT 300)
Venue: hostclass-net.zoom.us
Course Description
STA 300 covers the statistical methods in Descriptive and Inferential Statistics that can be used in answering research questions in Food Science and Nutrition. In descriptive statistics it covers areas in data presentation, mean and standard deviation. It also covers measures of association like Regression and correlation. In the area of Inferential Statistics the course will cover estimation and test of hypothesis, nonparametric statistical methods and analysis of variance (ANOVA). The course also covers probability distributions like binomial distribution, Poisson distribution, geometric distribution, hypergeometric distribution and chi-square distribution. We will also make use of the SPSS statistical software to carry out data analysis in ANOVA, nonparametric methods and test of hypothesis in addition to performing calculations in these areas.
Weekly Schedule:
Tuesday and Friday (8pm – 10pm): Mean and Standard Deviation
Tuesday and Friday (8pm – 10pm): Regression Analysis
Tuesday and Friday (8pm – 10pm): Correlation Analysis
Tuesday and Friday (8pm – 10pm): Estimation (1)
Tuesday and Friday (8pm – 10pm): Estimation (2)
Tuesday and Friday (8pm – 10pm): Test of hypothesis (1)
Tuesday and Friday (8pm – 10pm): Test of hypothesis (2)
Tuesday and Friday (8pm – 10pm): Nonparametric methods
Tuesday and Friday (8pm – 10pm): Analysis of Variance (1)
Tuesday and Friday (8pm – 10pm): Analysis of Variance (2)
Tuesday and Friday (8pm – 10pm): Statistical Analysis (Test of hypothesis)
Tuesday and Friday (8pm – 10pm): Statistical Analysis (Analysis of Variance)
Tuesday and Friday (8pm – 10pm): Statistical Analysis (Nonparametric methods)
Tuesday and Friday (8pm – 10pm): Probability (1)
Tuesday and Friday (8pm – 10pm): Probability (2)
Assignments and Examination
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