Statistics school training courses in Anchorage, AK (public, in-house or online)

An intermediate level course in statistics covering a review of point and interval estimation type I and II errors and hypothesis testing, with an extension to the analysis of simple survey designs, followed by a rigorous development of simple and multiple regression, elementary ANOVA, discrete data analysis, and nonparametric methods. Students will learn to work with the MINITAB statistical package and other spreadsheet programs.

Wherever there will be numerical facts or data, there will be a need to interpret that data and whenever data is collected and interpreted, it is for some purpose and that is where Statistics comes into picture. From calculating a child’s IQ to finding out the GDP of a country, knowledge of Statistics is required.

Statistics helps to paint an objective picture of social and economic condition of a state or of a country. Statistics is the tool that makes sense out of business figures,...

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Since there are a lot of candidates seeking an opening related to Business Statistics, or those who are trying to advance their career to senior Business Statistician positions, extra credentials count. Enhancing your resume with an ExpertRating Online Business Statistics Certification can definitely give you an edge above the rest. After passing...

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One important aspect of reliability engineering is statistics. The reliability engineer should have a good grasp of statistics and distributions. All reliability-related failure mechanisms can be mapped to a particular distribution type. The most common distributions used in reliability studies are the exponential distribution, the normal distribution, the lognormal distribution, and the Weibull distribution.

Statistics and Distributions

Statistics and Distributions Quiz

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This course introduces students to a variety of data analysis techniques used in planning, decision making, problem solving, and process control functions common in the business world. The course develops the critical-thinking skills needed to identify and interpret statistical reasoning that supports the interpretation of data and emphasizes the meaning and use of statistical information.