HCSTAT 300: Statistical Methods and Data Analysis
HCSTA 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.
Course Guidelines and materials, Open/Close times
This online course is built on a bi-weekly framework of material. Notes and class recordings will typically be posted during the week. Assignments may be completed and submitted at any time during the week they are due.
Posted course materials, including slide for the lectures, and recordings of the synchronous lectures, will remain open throughout the month. In this fashion, students who are unable to attend the lectures for technical or personal reasons, such as unexpected difficulties with information technology, personal or family illness, or the need to become a family caretaker, will have access to all the same class materials as students who attend the lectures.
Attendance is expected and encouraged in all Tuesday and Friday lectures. Excuses for absences are not required. Friday class time is reserved for each of the instructors to engage in office hours in a virtual group setting with students from their respective sessions.
The schedule below is **tentative and subject to change**. It is given as an indication of pace only.
Week 01: Mean and Standard Deviation
Week 02: Regression Analysis
Week 03: Correlation Analysis
Week 04: Estimation (1)
Week 05: Estimation (2)
Week 06: Test of hypothesis (1)
Week 07: Test of hypothesis (2)
Week 08: Nonparametric methods
Week 09: Analysis of Variance (1)
Week 10: Analysis of Variance (2)
Week 11: Statistical Analysis (Test of hypothesis)
Week 12: Statistical Analysis (Analysis of Variance)
Week 13: Statistical Analysis (Nonparametric methods)
Week 14: Probability (1)
Week 15: Probability (2)
- Lectures 1
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 53
- Assessments Yes