BTM8107-8 Week 7 Apply Statistical Techniques

From Mathematics, Statistics
Due on 06 Sep, 2015 11:27:00
Asked On 04 Sep, 2015 10:34:40
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Ppillot
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I will upload Assignment #4, Part A, Part B, and Part C once I select tutor. I would like to receive the SPSS output. Thanks

Instructions: You will submit one Word document. In the first part your assignment document, provide short answers to the following questions (250 words or less).

Part A. Questions about non-parametric procedures

What are the most common reasons you would select a non-parametric test over the parametric alternative?
Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?
For each of the following parametric tests, identify the appropriate non-parametric counterpart:
1. Dependent t test
2. Independent samples t test
3. Repeated measures ANOVA (one-variable)
4. One-way ANOVA (independent)
5. Pearson Correlation

Part B. SPSS Assignment
In this part of the assignment you will perform the non-parametric version of the tests you used in Week 4. In each case, assume that you opted to use the non-parametric equivalent rather than the parametric test. Using the relevant data files from Assignment #4, complete the following tests and paste your results into a Word document:

The non-parametric version of the dependent t test (use the SPSS dataset from Assignment #4, Part A);
The non-parametric version of the independent t test (use the SPSS dataset created in Assignment #4, Part B); and,
The non-parametric version of the single factor ANOVA (use the SPSS dataset in Assignment #4, Part C).

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[Solved] BTM8107-8 Week 7 Apply Statistical Techniques part A and B both 100% A+++

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Part A. Questions about non-parametric procedures 1. What are the most common reasons you would select a non-parametric test over the parametric alternative? Almost all exact sample tests are based on the fundamental assumption that parent population is normal. And if test deals with the parameters of the population from which samples are drawn then it is called as parametric test. If no assumption is made regarding the parameters of population, then test is non parametric. Assumptions are as follows. 1. Sample observations are independent. 2. Variable under study is continuous. 3. Pdf is continuous 4. Lower moments exist. Non parametric are comprehensible, simple and easy to apply. They don’t assume anything about parameter of parent population. They have great applications in Psychology, sociology, and educational statistics. Moreover Non parametric can be used to deal with data measured on ordinal and nominal scale only. Non parametric test deals with data which are given in ranks and parametric scores can’t be applied if scores are given in grades such as A+, A-, B+, B- etc. 1. Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why? The statistical power of non-parametric tests is lower as compared to their parametric counterparts. Statistical power depends on the size of the sample. In case of non-parametric test the p-value is very high when sample size is small and the data is drawn from a Gaussian populatio...

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[Solved] BTM8107-8 Week 7 Apply Statistical Techniques

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1. A parametric test uses the assumption of parameters or more easily put of the distribution. So all of the parametric tests assume some distribution form of the population or the data (and mostly its normal distribution assumption for most tests). However more often we have conditions where we...

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