Courses for Probability and Statistics

Statistic courses at introduce and establish a solid understanding of the principles of statistics and business statistics.

This includes delving into the descriptive and inferential, quantitative data, categorical data, probability in statistics, as well as the purpose of statistical models. These courses are full of applicable content taught by experts who work to make the complex concepts of statistical methods and analysis understandable for all learners.

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What is Statistics?

Statistics is the term used in mathematics to describe the study numerical data collection, organization, and interpretation. Regardless of the group size, statistics requires analytical and inference skills to draw accurate conclusions about the quantitative and observed data. Due to the complexity of looking at data with many variables, characteristics, or traits specific to an item, statisticians rely on differential and integral calculus, linear algebra, and probability theory.

Descriptive and inferential statistics are the two major areas used to study and analyze the properties of the sample and quantitative or qualitative data population. These properties are then used to test hypotheses, analyze variables, interpret outcomes, and draw conclusions. Statistics rely on multiple levels of measurement to quantify the results. Once collected and analyzed, data can be presented in various ways, including bar graphs, pie charts, line graphs, pictographs, histograms, and frequency distribution charts.

Statistics are used in a wide variety of professions and career fields, as well as in everyday life. Statistics are applied whenever data is collected, organized, and interpreted. The information provided through the use of statistics gives insight into how and why things work. Using statistics in the way of research, evaluation, and analysis of outcomes helps everyone, from government and investment agencies to weather forecasters to geologists, make sound decisions.

As with all forms of mathematics, statistics is complex and relies on knowing and understanding various other skills. These skills include the principles of probability and the testing of hypotheses, reiterating that having a strong foundation in mathematical practices will further develop a deeper understanding of statistics.

Statistics Test Prep offers several test preparation courses and study guides to help test-takers prepare for math exams, including statistics and probability. Those who are applying to college or hoping to earn college credit via tests, as well as those who are planning to become teachers, can use these review courses to brush up on important math skills. For example, the CLEP College Mathematics course covers basic math, measurement, inequalities, types of numbers, functions, exponents, math logic, data analysis, probability, and geometry. Other courses review more advanced math concepts. These courses are designed to be user-friendly and help test-takers be well-prepared for their exams.

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