Question 4: (15 points) The Intelligence Quotient (IQ) test scores for adults are normally distributed with a population mean of 100 and a population standard deviation of 15. (i) What is the probability we could select a sample of 50 adults and find the mean score of this sample is less than 95? (ii) What is the probability we could select a sample of 50 adults and find the mean score of this sample is between 94 and 106?
Added by Kerry H.
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1213} \] \[ Z = -2.36 \] Show more…
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The Intelligence Quotient (IQ) test scores for adults are normally distributed with a population mean of 100 and a population standard deviation of 15. (i) What is the probability we could select a sample of 50 adults and find the mean score of this sample is less than 95? (ii) What is the probability we could select a sample of 50 adults and find the mean score of this sample is between 94 and 106?
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The Intelligence Quotient (IQ) test scores for adults are normally distributed with a mean of 100 and a standard deviation of 15. What is the probability we could select a sample of 50 adults and find the mean of this sample is less than 95? 0.9818 0.0091 0.4909 0 0.9544
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IQ scores as measured by the Stanford-Binet IQ test are normally distributed with $\mu=100$ and $\boldsymbol{\sigma}=16$ (a) Simulate obtaining 20 samples of size $n=15$ from this population. (b) Construct $95 \%$ confidence intervals for each of the 20 samples. (c) How many of the intervals do you expect to include the population mean? How many actually contain the population mean?
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