Sampling
I obtained my sample of data by asking every third man and every third woman that walked into the door of the North Olmsted Rec. Center. Despite most people complying, and providing me with a honest answer, some people that were questioned did not. I replaced their answers with a one, because I knew that they were at the gym for at least one day that week, the day I questioned them. I followed through with this process until I had asked forty men and forty women, supplying me with a wide variety of answers.
Significance Test
A T - test was completed, because I was comparing the two means of two sets of data samples, opposed to a population. Because I took a sample of gym attentants, I was only able to use a test statistic that used sample standard deviations in the test equation. Both conditions were met for this two sample t - test because both samples of men and women exceeded an n value of 30, and the sampling technique used is completely randomized.Mu1 = the mean number of days in a week at the gym for men
Mu2 = the mean number of days in a week at the gym for women
Ho = Mu1 - Mu2 = 0
Ha = Mu1 - Mu2 > 0
alpha = 0.05
t = 10.197
p = 7.343
Conclusion: We reject the null hypothesis at any reasonable significance level since our p level is greater than alpha. Therefore, there is sufficient evidence to suggest that that the average number of days spent at the gym in a given week is greater than the average amount of days spent at the gym in a given week by a woman.
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Sleep Well!
The more muscle mass you have, the more fat your body will burn while you sleep. That means sleep gains!
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Hungry?Since you're working out, all the calories you have been burning need to be replaced, so you need to eat more.
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Memberships45 million people in the United States are members of a gym or health club. That's only 14%...
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Protein
It's very important when working out. Not consuming protein can leave you feeling hungry and tired afterwards.
