Key: · Mean: 100 · Standard Deviation: 15 Use StatCrunch to obtain 1000 random samples of size n = 10 from this population. List the observations obtained from Sample 1 and Sample 2 below: Sample 1: 107.25645, 115.27397, 96.32803, 110.6336, 99.57709, 125.31405, 90.55107, 88.27586, 104.44336, 93.393654. Sample 2: 120.64851, 87.75064, 88.4313, 104.66652, 124.54199, 111.22331, 102.50648, 85.5129, 86.48812, 134.15738. This sample shows ten of the scores from this particular population. Include a copy of the StatCrunch spreadsheet below as well: b) Compute the sample mean for each of the 1000 samples. Provide the sample mean for Sample 1 and Sample 2 below. Mean Sample 1: 99.84315 Mean Sample 2: 101.42576
c) What do you expect the mean and standard deviation of the sampling distribution of the mean to be?
Sampling distribution- Mean=100.191536, Standard Deviation= .7025791
d) Draw a histogram of the 1000 sample means (Show the histogram below).
Key:
Lower Class Limit of the First Class: 65
Class Width: 5
Describe the shape of the distribution: Normal (bell-shaped)
e) Determine the mean and standard deviation of the 1000 sample means. Are these values close to what was expected [from part c)]? Yes, they are close to what was expected. f) What proportion of the 1000 random samples resulted in a sample mean IQ greater than 105? = 82 g) Based on the normal model, what proportion of random samples of size n = 10 would we expect to result in a sample mean greater than 105? = .1625 Is the theoretical proportion (that obtained from the model) close to the proportion based on simulation? Yes, it is pretty close.
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Your results are off. For example, in part (c), the expected mean and standard deviation are 100 and 15/sqrt(10), respectively. The theoretical proportion of observations greater than 105 is 0.146.
We enjoyed viewing your report it had a lot of useful informtaion and you explained everything well.
Jeremy Crnich and Kayleigh McGuire