|
HU Credits:
2
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Statistics
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Sarit Agami
Coordinator Office Hours:
Teaching Staff:
Dr. Sarit Agami
Course/Module description:
The course presents common mistakes in statistics that sometimes seem negligible but can lead to incorrect conclusions. The possible errors may begin with the data collection phase, and continue with the visual presentation of the data or the description of the data by means of measures, till the statistical inference from the sample to the population.
Course/Module aims:
Learning outcomes - On successful completion of this module, students should be able to:
To learn how to avoid the common mistakes in statistics over its three steps, that is, in sampling, description statistics and statistical inference.
Attendance requirements(%):
Teaching arrangement and method of instruction:
Course/Module Content:
I. Sampling and the data collection
* Representative sample
* Sample size
* Non-response in selected sample
* Surveys and questionnaires
* How data is collected
* Validation and reliability of measurements
* Measurement error
II. Descriptive statistics
* Calculation of average and percentages
* Validation of measures
* Natural variation
* Regression to the mean
* Reporting percentages based on incorrect conditional probability
* Correct graphs
* Correlation and causality
* Outliers
III. Research design
* Experimental research versus observational research
* Random sampling and random allocation of units for treatment
Required Reading:
None
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 100 %
Home exam
Additional information:
|
close