Statistics is a very powerful topic that is used on a daily basis in many situations. , you may be interested in the age of

Statistics is a very powerful topic that is used on a daily basis in many situations. , 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. , 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 you make general conclusions about a given population or sample. To assist in your analysis ’s Gym, answer the following questions about the Body Fat Versus Weight data set: Click to download the Body Fat Weight data set. 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 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 attending Silver’s Gym is not 20%. 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 ’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%:

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