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Module 6 Pre-Assessment

Module 6 Pre-Assessment

Q Please answer each/all of the following five (5) questions (2 points each, 10 points total): 1. How do you know when to use a t test? What types of variables are appropriate for its use? 2. Define independent samples and dependent samples. How can you tell the differences between them? Provide examples of each. 3. What are the different types of dependent samples? How are these types of samples similar? Different? 4. Discuss the difference between pooled and separate variance. How do you know which to use in your independent samples t test? 5. Under what circumstances should a two population test for differences in proportions be used?

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1) A T-test is used for comparing the mean of two given samples. Like a Z-test, a T-test also assumes a normal distribution of the sample (Gau, 2018). The T-test is necessary for those situations, when we are completely/ partially unaware of the population parameters, such as the population mean and the subsequent standard deviations. Dependent and independent variables are the different types of variables appropriate for conducting a T-test (Gau, 2018). Depending variables are continuous. An ideal example for dependant variables is interval or ratio level. On the other hand, independent variables are categorically in nature (Gau, 2018). One sample T-test has four main assumptions. The dependent variables must be continuous (interval/ ratio).