Probability and Distributions, Descriptive Statistics, Parameteric And Non-parameteric Hypothesis Testing. Analysis of Variance, Regressoion. Classification, Dimensionality Reduction, Clustering. Learning Outcomes# At The End of The Course The Student# 1. Will Know to Represent Research Data With Appropriate Quantitative And Graphical Tools. 2. Choose and Apply Appropriate Statistical Analysis. 3. Use Rstudio to Analyze and Test Data. 4. Intepret Statisticle Results in Research.

Faculty: Medicine
|Graduate Studies
Course with no extra credit (contained)

216033 - Basic Quantitative Research Methods

Semestrial Information

Weekly Hours

3 Academic Credit • 2 Lecture Hours • 2 Discussion Hours


Exams
Session A: 16-04-2024 09:00 - 12:00
  • אולמן 201. 306. 309. 310.
Session B: 19-05-2024 09:00 - 12:00
  • אולמן 605. 700. 705. 708.
No Registration Groups
Weekly Hours

3 Academic Credit • 2 Lecture Hours • 2 Discussion Hours

Notes
  • קורס למוסמכים בלבד

Exams
Session A: 08-02-2023 Session B: 08-03-2023
No Registration Groups
Weekly Hours

3 Academic Credit • 2 Lecture Hours • 2 Discussion Hours


Exams
Session A: 03-02-2022 09:00 - 12:00
  • דיוויס 281. 283. 371. 373.
Session B: 03-03-2022 09:00 - 12:00
  • אולמן 307. 308. 309.
Session C: 30-03-2022 16:30 - 19:30
  • אולמן 202. 703.
No Registration Groups