Math171 lab5 - skewed to the left with a mean of $9879.09 and a standard deviation of $6558.40 There were 12145 patients with a mean of $9879.09 2

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Lab 5 Case 1: Lyme Disease 1. In Ticks.1, 1 tick is carrying the disease, which is 5% of the sample. The population’s percentage is probably different. In a sample of 20 ticks, one would expect to find between 5% and 15% infected ticks. This histogram is skewed to the left, with a median of 0.05 and an IQR of 0.05. 2. This histogram is skewed to the right, with a median of 0.135 and an IQR of 0.04. 3. This histogram is skewed to the right, with a median of 0.115 and an IQR of 0.007. 4. As the sample size increases, the shape of the distribution becomes more symmetrical. The median value stabilizes at a specific value, and the interquartile range tends to decrease. A sample size of 10% is a pretty significant sample, and is most likely accurate for estimating tick bites, especially with repeated trials. Case 2: Health Costs
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1. The histogram is
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Unformatted text preview: skewed to the left, with a mean of $9879.09 and a standard deviation of $6558.40. There were 12145 patients, with a mean of $9879.09. 2. The sample size is 24, with a mean of $12919.10, which is consistent with other samples. 3. The histogram is slightly skewed to the left, with a mean of about 9500 and a standard deviation of 1500. 4. The histogram is now skewed toward the right, with a new mean of 10000 and a new standard deviation of 500. 5. The histogram is more symmetrical, with a mean of about 10000 and a lower standard deviation, about 200. 6. As sample size increases, the shape of the distribution becomes more symmetrical and less skewed. The mean becomes more accurate and more reflective of the true mean, and the standard deviation decreases as more values smooth out the distribution....
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This note was uploaded on 04/16/2008 for the course MATH 1710 taught by Professor Staff during the Spring '08 term at Cornell University (Engineering School).

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Math171 lab5 - skewed to the left with a mean of $9879.09 and a standard deviation of $6558.40 There were 12145 patients with a mean of $9879.09 2

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