THE LOGIC OF ANOVA ANalysis Of VAriance (commonly abbreviated as ANOVA)‚ more specifically‚ we will take up an application known as one-way ANOVA. Many statisticians think of ANOVA as an extension of the difference of means test because it’s based‚ in part‚ on a comparison of sample means. At the same time‚ however‚ the procedure involves a comparison of different estimates of population variance—hence the name analysis of variance. Because ANOVA is appropriate for research involving three or
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to: Recognize situations in which to use analysis of variance Understand different analysis of variance designs Perform a single-factor hypothesis test and interpret results Conduct and interpret post-analysis of variance pairwise comparisons procedures Set up and perform randomized blocks analysis Analyze two-factor analysis of variance test with replications results Business Statistics: A Decision-Making Approach‚ 6e © 2005 Prentice-Hall‚ Inc. Business Statistics: A Decision-Making Approach
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Information Technology in Major League Baseball Information Technology has quickly became an everyday part of life. It is used in almost every aspect of our lives. It used at home to check e-mail‚ send text messages‚ and surf the web. It is used at work for networking and even many modern telephone systems. In many cases IT is simply a part of our day. Major League Baseball is no different. The league has also become very active in the IT world. It is used in almost every single aspect
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Baseball has been a popular sport and an important part of any peoples lives. Our nation’s love for the game lead to the creation of the professional organization known today as Major League Baseball. Major League Baseball has had major influences that have transformed professional baseball into its current organization. Major League Baseball has been influenced by many things‚ such as‚ players‚ by war‚ by racism‚ by technology‚ and by drugs. There have been great players‚ great teams‚ ability to
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the worst known scandals in sports‚ but it isn’t the only time a Major League Baseball Commissioner has had to banish a player for gambling. Pete Rose is considered by many as one of the best baseball players of all time. On the Major League Baseball list of hits by a batter‚ Rose is the MLB’s career leader with 4‚256 career hits. Being the sports career leader in hits would most un-doughtily get a player inducted into the Baseball Hall of Fame‚ correct? Unfortunately‚ the halls of Cooperstown have
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Catholic Church and Major League Baseball are just two examples of how these deceitful acts can spiral out of control. By choosing to coverup the illegal acts that were performed by certain priests and then place them back into that population with young children was not only morally‚ but ethically wrong. Those poor unsuspecting children put their trust into these religious figures making them vulnerable‚ and leaving them physically and emotionally scarred for life. Baseball is an American past
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VARIANCE? WHAT NULL HYPOTHESIS ISTESTED BY ANOVA? ANALYSIS OF VARIANCE IS A STATISTICAL METHOD USED TO TEST DIFFERENCES BETWEEN TWO OR MORE MEANS. IT IS USED TO TEST GENERAL RATHER THAN SPECIFIC DIFFERENCES AMONG MEANS. THUS THE NULL HYPOTHESIS IS CALLED AN OMNIBUS NULL HYPOTHESIS IT MEANS THAT AT LEAST ONE POPULATION MEAN IS DIFFERENT FROM AT LEASTONE OTHER MEAN. THE ANOVA DOES NOT REVEAL WHICH PAIR IS SIGNIFICANT‚ THUS A FOLLOW UP TEST IS NECESSARY TO DETERMINEWHICH PAIR IS DIFFERENT
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the major amino acid components in green tea or black tea.
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order to test the adverse reactions of the drug called Xynamine (a new drug designed to lower pulse rates) must be tested for their effectiveness and the drug is tested only for males. Here‚ the treatment groups are divided into 3 categories they were placebo group (no treatment)‚ 10-mg treatment group and 20-mg treatment group. Thus‚ the analysis test result is carried out using the technique of one-way analysis of variance ANOVA (Analysis of Variance - single factor). Assumptions of ANOVA The
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of variance (ANOVA). The null hypothesis tested by one-way ANOVA is that two or more population means are equal. The question is whether (H0) the population means may equal for all groups and that the observed differences in sample means are due to random sampling variation‚ or (Ha) the observed differences between sample means are due to actual differences in the population means. The logic used in ANOVA to compare means of multiple groups is similar to that used with the t-test to compare means
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