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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.
|Introduction to Statistics||11:29|
|Summarizing Quantitative Variables||18:44|
|Standardizing Data and the Normal Distribution Part 1||24:01|
|Standardizing Data and the Normal Distribution Part 2||17:57|
|Addressing Issues with Regression Assumptions||12:27|
|Randomness and Survey Sampling||20:08|
|Experiments and Observational Studies||23:09|
|Introduction to Probability||13:30|
|General Rules of Probability||22:59|
|Quiz zum Kurs „Statistics Part 1“|
|Sampling Distributions for Proportions and Means||12:07|
|Confidence Intervals for Proportions||15:19|
|Testing Hypotheses about Proportions||16:43|
|More about Hypothesis Tests||14:04|
|Comparing two Proportions||13:43|
|Inference for Means||13:33|
|Comparing two Means||12:40|
|Inference for Paired Data||08:17|
|Categorical Data Analysis||14:43|
|Inference for Regression||08:32|
|Quiz zum Kurs „Statistics Part 2“|
|Quiz zum Kurs „Learn Statistics - Become Data Smart“|