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#HOW TO USE PHSTAT IN EXCEL ANOVA SOFTWARE#
#HOW TO USE PHSTAT IN EXCEL ANOVA PROFESSIONAL#

Although the illustration of some computations is inevitable, the focus on computations should be minimized.

These points are particularly important in regression and forecasting and in hypothesis testing.

The focus in teaching each topic should be on (1) the application of the topic to a specific problem, (2) the interpretation of results, (3) the presentation of assumptions, (4) the evaluation of the assumptions, and (5) the discussion of what should be done if the assumptions are violated.

#HOW TO USE PHSTAT IN EXCEL ANOVA SOFTWARE#

Textbooks that use software must provide instructions at a depth that maximizes the student's ability to use the software with a minimum risk of failure.Our teaching approach needs to recognize this reality and make our courses more consistent with the workplace environment. The reality that exists in the workplace is that spreadsheet software (and sometimes statistical software) is most typically available on the desktop. The use of spreadsheet and/or statistical software should be integrated into all aspects of the introductory statistics course.

Introductory courses should focus on underlying principles that are important for non-statistics majors.

Virtually all the students taking introductory statistics courses are majoring in areas other than statistics.

Each statistical topic needs to be related to at least one of these areas of application. That frame of reference for introductory statistics students should be the various areas in which statistics can be applied, including business, biology, education, engineering, mathematics, political science, psychology, and sociology.

Students need a frame of reference when learning about a subject, especially one that is not their major.

Over the years, our vision has come to include these principles:

#HOW TO USE PHSTAT IN EXCEL ANOVA PROFESSIONAL#

Our vision for teaching these introductory statistics courses has been shaped by active participation in a series of professional conferences as well as the reality of serving a diverse group of students at a large university. In our many years of teaching introductory statistics courses at the University of South Florida and Baruch College, we have continually searched for ways to improve the teaching of these courses. For use as an introduction to statistics reference with a background in college algebra.Įxcerpt. Reorganized content - Rank tests are integrated throughout, dot plots added in Chapter 2, cumulative binomial tables added to appendix, section on the normal approximation to the binomial distribution added to Chapter 6, and goodness-of-fit test of multinomial category probabilities added to Chapter 8. Real-world applications and critical thinking skills are emphasized throughout that will allow readers to realize greater success in the workplace. These Excel and MINITAB tutorials give users access to step-by-step instructions and screen shots for using the software to perform the statistical techniques presented in the chapter. This book integrates technology into the practical introduction of statistics - both Microsoft Excel and MINITAB are incorporated as tools for data analysis.