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HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Field and Vegetable Crops-International Prog.
Semester:
1st Semester
Teaching Languages:
English
Campus:
Rehovot
Course/Module Coordinator:
Dan Ramon
Coordinator Office Hours:
By appointment
Teaching Staff:
Dr. Dan Ramon,
Dr. hadas Don
Course/Module description:
The students will learn basic and advanced concepts in developing experimental designs and analyzing statistical data. The course will support experimental planning, analyzing and evaluation of statistical literature.
Course/Module aims:
1. Creating basic statistics skills for research students.
2. Understanding basic concepts in experimental research methods.
3. Creating a critical thinking in gathering and analyzing statistical data.
Learning outcomes - On successful completion of this module, students should be able to:
• Understand the principles underlying the design and implementation of experiments, including the function and use of controls, replication and randomization.
• Apply statistical inference in their research field.
• Have a basic understanding of the underlining principles in statistics.
Attendance requirements(%):
100
Teaching arrangement and method of instruction:
Frontal lectures and hands on practice.
Course/Module Content:
• Brief review of statistical concepts, qualitative and quantitative variables, measurement scales
• Basic concepts in research methods: Sampling and replication, repetition, randomization and confounding, treatments and controls
• Sampling distribution, Central limit theorem
• Common experimental designs
• Fixed vs. random effects
• Summary and presentation of numerical variables
• One sample t-test
• Paired sample t-test
• Two-sample t-tests
• One-way analysis of variance
• Post-Hoc comparisons (Tukey-Kramer HSD, Contrasts)
• Two-way analysis of variance
• Repeated measures analysis
• Analysis of covariance
• Correlations coefficients (Pearsons' r, Spearman's rho)
• Simple linear regression
• Multiple linear regression
• Basic concepts in working with categorical variables (Peasrsons' Chi square test)
Required Reading:
Biometry, Sokal and Rohlf 4rd edition.
Additional Reading Material:
-
Grading Scheme :
Additional information:
None
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