SOLUTION: Could someone please explain this to me? I'm having a really hard time understanding how to work them out?
1. In a sample of 200 people, 76 people would rather work out at hom
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-> SOLUTION: Could someone please explain this to me? I'm having a really hard time understanding how to work them out?
1. In a sample of 200 people, 76 people would rather work out at hom
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Question 1078523: Could someone please explain this to me? I'm having a really hard time understanding how to work them out?
1. In a sample of 200 people, 76 people would rather work out at home than in a gym. Find the 99% confidence interval for the true proportion of people who would rather work out at home than in a gym for the entire population.
2. A study found that out of 300 people 60% of them prefer to eat hamburgers rather than hot dogs. Fin the 95% confidence interval for the true proportion of people who prefer to eat hamburgers rather than hot dogs in the entire population.
You can put this solution on YOUR website! 1) The sample size is 200 which is sufficient(greater than 30) to use a normal distribution
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The sample statistic proportion is (76 / 200) = 0.38
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The standard error(SE) for the sample = square root(0.38 * (1-0.38) / 200) = 0.0343
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alpha (a): a = 1 - (confidence level / 100) = 1 - (99/100) = 0.01
p* = 1 - a/2 = 1 - 0.01/2 = 0.995
critical value(CV) is determined by looking for the z-value associated with p*
CV = 2.57
margin of error(ME) = CV * SE = 2.57 * 0.0343 = 0.0882 approximately 0.09
confidence interval(CI) = sample proportion + or - margin of error
CI = 0.38 + or - 0.09 = (0.29, 0.47)
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2) The sample size is 300 which is sufficient(greater than 30) to use a normal distribution
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The sample statistic proportion = 0.60
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SE = square root(0.60 * (1-0.60) / 300) = 0.0283
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alpha (a): a = 1 - (confidence level / 100) = 1 - (95/100) = 0.05
p* = 1 - a/2 = 1 - 0.05/2 = 0.975
critical value(CV) is determined by looking for the z-value associated with p*
CV = 1.96
ME = CV * SE = 1.96 * 0.0283 = 0.0555 approximately 0.06
CI = 0.60 + or - 0.06 = (0.54, 0.66)
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