Statistics school training courses in Allentown, PA (public, in-house or online)

Applied Managerial Statistics stresses the practical use of statistics in collecting, organizing, analyzing, interpreting, and presenting data. Areas covered include descriptive statistics, inferential statistics, regression analysis, and time series analysis. Attention is devoted to the use of statistical thinking in improving the managerial decision making process.

This course introduces statistical concepts and analytical methods as applied to data encountered in biotechnology and biomedical sciences. It emphasizes the basic concepts of experimental design, quantitative analysis of data, and statistical inferences. Topics include probability theory and distributions; population parameters and their sample estimates; descriptive statistics for central tendency and dispersion; hypothesis testing and confidence intervals for means, variances, and proportions...

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IBM SPSS Education is pleased to offer you our courses in an exciting learning format, Instructor-led Online (ILO). Students are offered a similar experience to live classroom training, with the convenience of having it delivered directly to their desktop. Note that our ILO courses are taught for only 3 hours a day, therefore the duration of our ILOs will be double that of the classroom. For example if the ILT course is 2 days, then our ILO will be taught in 4 half day classes.

The focus...

Full archival course description>>

IBM SPSS Education is pleased to offer you our courses in an exciting learning format, Instructor-led Online (ILO). Students are offered a similar experience to live classroom training, with the convenience of having it delivered directly to their desktop. Note that our ILO courses are taught for only 3 hours a day, therefore the duration of our ILOs will be double that of the classroom. For example if the ILT course is 2 days, then our ILO will be taught in 4 half day classes.

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Classify data as qualitative or quantitative (discrete or continuous).
�Identify advantages and disadvantages of sampling and of common sampling methods.
�Distinguish between observational studies and experiments and define different types of experimental design.
�Construct frequency distributions for qualitative data and frequency distributions, histograms, stem and leaf plots, and boxplots for quantitative data.
�Describe distributions of quantitative data in terms of shape...

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