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Statistics
Sampling
Random Sampling
A random sample is obtained from a normal population with a mean that equals 80 and a standard deviation that equals 8
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A simple random sample of size n equals=3737 is obtained from a population with μ equals=6969 and σ equals=1515.
(a) What
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(a) In order to use the normal model to compute probabilities involving the sample mean, the
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A random sample of size 21 was taken from a normal population. The sample average was 9.87 and the sample SD was 1.17. What test
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To test whether the population mean equals 9.7, we can use a t-test since the population standard
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one sample t-test for the population mean.
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A random sample of size 21 was taken from a normal population. The sample average was 9.87 and the sample SD was 1.17. What test
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A simple random sample of 60 items resulted in a sample mean of 96. The population standard deviation is 16.
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I'll get you started. a) CI95 = mean ± 1.96 (sd/√n) mean = 96 sd = 16 n = 60 b) Use the same
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A simple random sample of 60 items resulted in a sample mean of 76. The population standard deviation is 12.
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To compute the confidence intervals for the population mean, we'll be using the formula: Confidence
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A simple random sample of 60 items resulted in a sample mean of 96. The population standard deviation is 16.
a. Compute the 95%
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A) z = 1.96 n = 60 x-bar = 96 S = 16 SE = σ/√n = 16/√60 xbar ± z*s/√n 96 ± 4.048 ( 92.0,
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A simple random sample of size n = 300 is obtained from a population whose size is and whose population size is n=20,000 ans
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E) Hilarious; ìp = 0.8, óp = 0.023, but with a little twist of chaos and unpredictability. Just
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A random sample of 8 observations was drawn from a normal population. The sample mean and
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