• the 90% Cl for mu [Select] • the 95% CI for mu [Select] • the 99% CI for mu [Select] V include 3 include 3 include 3
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A: The graph represents a Bayesian network with each variable to be binary.There are 8 observations.
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A: X~N( μ , ?)μ=20.9 , ?=6.5Z-score =( x - μ )/?
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A: The given data is as follows:
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A: n=200x=37
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A: Mean=12, variance=36
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A: the probability to the right of -1.89
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A: n=200, x=152
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A: Maximum error=5Standard deviation=16
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A: Margin of Error = E = 0.07Confidence level = 98%Significance level = = (100-98)% = 0.02 = 0.02/2 =…
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A: Dataxx2277767292918468129587025280784002687182427877284291846812777672928279524279778412968761628581…
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A: We have given thatMean() = 238standard deviation() = 67sample size (n) = 33
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