contribute three substantive posts​ for each selection
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contribute three substantive posts ____ As discussed in our readings, what are the steps involved in hypothesis testing? Why is it important to say we either reject or do not reject the null hypothesis? Compare and contrast the t-test and the z-test? When would you run a t-test instead of a z-test?

contribute three substantive posts What are some concepts behind variance analysis? Why is it important to test for variances in your data? Explain. How is variance analysis used in your profession? Provide an example. Compare and contrast the One-Way and Two-Way ANOVA? How are they similar and how do they differ?.

contribute three substantive posts--What is the purpose of using correlation analysis? How may correlation analysis be used in business decisions or in relation to strategy formulation and implementation? What is the purpose of using correlation analysis? How may correlation analysis be used in business decisions or in relation to strategy formulation and implementation?

contribute three substantive posts---What is the purpose of using multiple regression analysis? Does multiple regression have more than one role? How man it be used to formulate strategies? Provide examples related to strategy formulation and implementation. Discuss the relationship between independent and dependent variables with regard to correlation and regression analysis. What is the purpose of having a dependent variable and independent variables for multiple regression analysis?

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SUBASTANTIVE POSTS
Substantive posts
Various steps are involved in hypothesis testing which includes: Specifying the null
hypothesis, specifying level also known as significance level, computing the probability value,
comparing probability value with the standard. When conducting a hypothesis test, two

suggestions get considered which are: the null and the alternative hypothesis. The null hypothesis
is believed to be true until the data provide enough evidence that it is not. On the contrary, an
alternative explanation is what support is. Null hypothesis has two probable results. For instance,
reject the null hypothesis concludes that the alternate interpretation is correct at any level
selected.
On the other hand, fail to reject the null hypothesis means that there is no adequate
evidence to suggest the null is false at whatever level selected. A t-test is a t...

sophiaN (158)
Duke University

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