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There are 12 modules in this course Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons.

Statistics simply means numerical data, and is field of math that generally deals with collection of data, tabulation, and interpretation of numerical data. It is actually a form of mathematical analysis that uses different quantitative models to produce a set of experimental data or studies of real life.

They're used to conduct research, evaluate outcomes, develop critical thinking, and make informed decisions. Statistics can be used to inquire about almost any field of study to investigate why things happen, when they occur, and whether reoccurrence is predictable.

Statistical knowledge helps you use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how we make discoveries in science, make decisions based on data, and make predictions.

Statistics is the branch of mathematics for collecting, analysing and interpreting data. Statistics can be used to predict the future, determine the probability that a specific event will happen, or help answer questions about a survey.

Statistical data are the outcomes or the observations which occur in scientific experiments or an investigation. To conduct any analysis it is must to have some data.

Before you take statistics, it is a good idea to brush up on the foundational knowledge you'll need in the course. For example, an algebra course is often a prerequisite for statistics classes so, if it's been a while since you've taken that course, you may want to refresh your algebraic skills in advance.