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HU Credits:
2
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
programming instruction unit
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Roie Knaanie
Coordinator Office Hours:
See moodle
Teaching Staff:
Course/Module description:
Introduction to Statistics.
Probability and distributions.
Estimation and
Confidence interval.
T-Test
F test
ANOVA
Multi variables Regression
Course/Module aims:
Using Statistics
in SPSS and Excel to analyze data
Learning outcomes - On successful completion of this module, students should be able to:
Analyse data using SPSS and Excel
Summarize data using SPSS and Excel
Compute descriptive statistics on numerical data
Apply the statistical argument to the outcome of a quantitative investigation
Carry out commonly used bivariate tests of difference
Use the basic form of the general linear model in SPSS and Excel
Use SPSS to conduct T-test, and Analysis of Variance.
Using Multi variables Regression Analysis.
Attendance requirements(%):
0
Teaching arrangement and method of instruction:
Frontal lectures and exercises in computers labs
Course/Module Content:
Excel Math &
Statistical functions. Statistical data analysis.
Graphical information display.
Statistics bases
Probability and distributions.
Estimation and CI.
T-Test.
Regression Analysis.
SPSS -
Data definition.
Data file manipulation. Missing values.
Estimation.
Confidence interval calcultions.
T-Test
Pairwise T-test
F test
ANOVA - One Way Analysis of Variance:
Contrasts and
Post hoc analysis.
Multi variables Regression Analysis.
Required Reading:
---
Additional Reading Material:
Introduction to Statistics
by Ruth Beyth-Marom
Course/Module evaluation:
End of year written/oral examination 100 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
The course is for M.Sc students in Chemistry, and 2nd or 3rd year students in B.Sc.
75% Exercises submission
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