Statistics involves the collection and analysis of data. The collection of sets of data is as ancient as the Exodus and is also mentioned in the Book of Numbers for census data collection. The field of statistics took birth in the 17th century as a means for countries to interpret demographic data.
In this course, students will be introduced to the concepts of contingency tables, types of variables, types of distributions, measures of central tendency and dispersion, regression models, probability, and hypothesis testing. For optimal comprehension, a high-school–level understanding of arithmetic and algebra is important.
In the 21st century, as data science is becoming increasingly prominent, data-collection and analysis skills continue to be much sought after. Furthermore, in the medical field, the paradigm of evidence-based medicine requires physicians to be literate in the interpretation and application of data published in scientific journals. Additionally, physicians are encouraged to become researchers and continue to add valuable and relevant data to the literature, making it more encompassing and capable of enhancing patient outcomes.
Great video with easy explanation The good page for learning
The explanation is smooth and clear. However, I think it would have been better if the common sense behind the formulas (especially the standard deviation) was explained in more detail so we can understand how the formulas work a little more deeply.
The explanation is really good and entertaining. Some points require more different examples to be better understood.
Straight forward way of teaching however he has a monotone personality