"> (solution)- Silver's Gym-Part-I & II Paper Detail – Transwriters

### (solution)- Silver's Gym-Part-I & II

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The Question

Part I: Statistical Measures

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Statistics is a very powerful topic that is used on a daily basis in many situations. For example, you may be interested in the age of the men who attend Silver?s Gym. You could not assume that all men are the same age. Thus, it would be an inaccurate measure to state that "the average age of men who attend Silver?s Gym is the same age as me."

Averages are only one type of statistical measurements that may be of interest. For example, your company likes to gauge sales during a certain time of year and to keep costs low to a point that the business is making money. These various statistical measurements are important in the world of statistics because they help you make general conclusions about a given population or sample.

To assist in your analysis for Silver?s Gym, answer the following questions about the Body Fat Versus Weight data set:

Calculate the mean, median, range, and standard deviation for the Body Fat Versus Weight data set. Report your findings, and interpret the meanings of each measurement. Notice you are to calculate the mean, median, range, and standard deviation for the body fat and for the weight.

The measures of central tendency are important in real-world situations.

What is the importance of finding the mean/median? Why might you find this information useful?

In some data sets, the mean is more important than the median. For example, you want to know your mean overall grade average because the median grade average would be meaningless. However, you might be interested in a median salary to see the middle value of where salaries fall. Explain which measure, the mean or the median, is more applicable for this data set and this problem.

What is the importance of finding the range/standard deviation? Why might you find this information useful?

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Part II: Hypothesis Testing

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Organizations sometimes want to go beyond describing the data and actually perform some type of inference on the data. Hypothesis testing is a statistical technique that is used to help make inferences about a population parameter. Hypothesis testing allows you to test whether a claim about a parameter is accurate or not.

Your boss makes the claim that the average body fat in men attending Silver?s Gym is 20%. You believe that the average body fat for men attending Silver?s Gym is not 20%. For claims such as this, you can set up a hypothesis test to reach one of two possible conclusions: either a decision cannot be made to disprove the body fat average of 20%, or there is enough evidence to say that the body fat average claim is inaccurate.

To assist in your analysis for Silver?s Gym,?consider the following steps?based on your boss?s claim that the mean body fat in men attending Silver?s Gym is 20%:

First, construct the null and alternative hypothesis test based on the claim by your boss.

Using an alpha level of 0.05, perform a hypothesis test, and report your findings. Be sure to discuss which test you will be using and the reason for selection.?Recall you found the body fat mean and standard deviation in Part I of the task.

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Based on your results, interpret the final decision to report to your boss.

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## Solution

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Please xxxxx xx the xxxxxxxxxxx xxx the solutions. Kindly xxxx xx a xxxxxxx xx case xxx xxxx xxx xxxxxxxxxx in xxxxxxxxxxxxx the xxxxx xx need any xxxxxxxxx or xxxxxxxxxxxxxx xxxxx You.?

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Part-I:

xxx xxxxxxxxxxx statistics xxx xxx given xxxx xxx xxxx xxxxxxxxxx xxxxx EXCEL?x xxxx Analysis ToolPack. xxx xxxxxx is given xx follows:

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x

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x

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 Descriptive Statistics: xxxx Fat xxxxxx Mean 18.9 xxxxx xxxxxx xxxx 176.5 Mode 19 xxxxxx xxxxx 45.1 244.7 Variance xxxxxxx xxxxxxxx Standard Deviation xxxx xxxxx

The xxxx percentage xx body xxx xxxxx xxx 252 men attending Silver Gym xx given as xxxxxx xxx average weight of the xxx xxx xx xxxxx xxx

xxx xxxxxx xxxxx of xxxxx xxx xxxx xxx percentage xxxxx xx xxxxxx xxx xxxxxx xxxxx xx xxxxx xxx the xxxxxxx of the 252 men fall xx 176.5 lb.

xxxx than xxx man xxx x xxxx xxx percentage of xxxxxx More than one xxx xxx a xxxxxx of xxxxxx lb.

xxx xxxxxxxxxx between xxx maximum xxx xxxxxxx xxxx xxx xxxxxxxxxx xx the xxx xxx xx 45.1%, which xx xxxxx xx the xxxxx xxx xxx xxxx fat xxxxxxxxxxx The xxxxxxxxxx xxxxxxx xxx xxxxxxx xxx minimum weight xx xxx 252 xxx xx 244.7 lb.

The variance and xxxxxxxx deviation for x xxxxxxx

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This paper was answered on 19-Jul-2017

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Jul 19, 2017

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