2 examples of situations in which population variance tests were performed.

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• Hypothesis Testing - decision making situations

  Use Internet resources to provide examples of situations in which population variance tests were performed. Be sure to include the url address where you found the examples. Test of variances is very useful in business processes.

• One-way ANOVA F-test, & Chi-Square test examples

  That study used chi-squared analysis since the variables were categorical. You can also come up with ideas of situations that might use chi-squared tests.

• Compare and contrast the characteristics of parametric and non-parametric test methodologies

  A parametric test, on the other hand, is a statistical test in which assumptions are made about the underlying distribution of observed data. So in situations where these assumptions cannot be made, non-parametric tests must be used.

• Advantages of Non-parametric Tests

  Another advantage of Non-parametric tests is that they can be performed for data which has been measured in ordinal or nominal scale, whereas Parametric statistical tests require at least interval or ratio scale of measurement of data.

• Explain analysis of variance, multivariate statistics

  These nonparametric tests often are more powerful in detecting population differences when certain assumptions are not satisfied.

• Miller Toy Company and Valley View Hospital

  During the past month, 1,800 blood tests and 2,400 smears were performed in the lab. b. Small glass plates are used in both types of tests. During the past month, the hospital purchased 12,000 plates at a cost of $28,200.

• Explains the analysis of variance, multivariate statistics, and non-parametric methods

  Non parametric tests do not assume the shape fo a population distribution. This is the reason these tests are called distribution free tests. Non parametric tests have less restrictive assumptions about the data.

• ANOVA and Nonparametric Tests

  Nonparametric tests Nonparametric tests are often used in place of their parametric counterparts when certain assumptions about the underlying population are questionable.

• Usage of ANOVA, Non-Parametric tests

  51567 Usage of ANOVA, Non-Parametric tests 1. Can you think of an example where the analysis of variance (ANOVA) can be used? How is ANOVA being used in the workplace, or how should it be used? 2.