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Statistics Essay

Productivity and Productivity Analysis
The factor analysis results will show the importance of the relationship between different factors. Some factors predominate the others which makes the customers more satisfied. The important factor coming under this category will always be dealing with product quality and safety. Some of them will have a negative impact.
Pages: 8 (2000 words), Essay
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Project II Data Analysis and Inference
The sample variance is 0.20 while the data range is 1.8 showing that the highest and the lowest value in the given sample differ by 1. However, the small value of standard deviation shows that the majority of the values lie near the mean value.Q1 represents the first quartile, 7 in this case, showing that a quarter of the whole data set lies above this value. Q2 represents the median which divides the whole data set into two halves, so that half of the values lie above the median value and half
Pages: 7 (1750 words), Essay
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Project 3
Out of the students interviewed thirty three were female and sixty four were male. This represented a ratio of 34.02% to 65.98% of female to male students. Out of this population, fifty-three students representing 55.79% admitted that they had taken at least one distance education course. The other 44.21% admitted that they had not. The analysis for questions five to seventeen is provided in the table below:From the table 1.1 and chart 1.1, it is evident that more than 55% of the students agree
Pages: 7 (1750 words), Essay
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Part 1
In addition, when it comes to fitting models to a given data, degrees of freedom are considered independent parameters. Thus, an accurate model is described by more independent parameters which are as a result of more degrees of freedom. Explain what a post hoc test is and why they are important. Provide an example of when you might use a conservative, a moderate, and a very liberal post hoc test. Differentiate between the post hoc tests used in ONEWAY ANOVA and Multiple-Factor ANOVAA post hoc
Pages: 4 (1000 words), Essay
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