Please Help! Need to confirm my answer.
You wish to test the claim that the average IQ score is less than 100 at the .01 significance level. You determine the hypotheses are:
Ho: μ = 100
H1: μ < 100
You take a simple random sample of 100 individuals and find the mean IQ score is 95.7, with a standard deviation of 16. Let's consider testing this hypothesis two ways: once with assuming the population standard deviation is not known and once with assuming that it is known.
Round to three decimal places where appropriate.
Assume Population Standard Deviation is NOT known | Assume Population Standard Deviation is 15 |
Test Statistic: t = | Test Statistic: z = |
Critical Value: t = | Critical Value: z = |
p-value: | p-value: |
Conclusion About the Null: (Pick One)
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Conclusion About the Null: (Pick One)
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Conclusion About the Claim: (Pick One)
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Conclusion About the Claim: (Pick One)
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Is there a significant difference between when we know the population standard deviation and when we don't? Explain.
sample std dev , s = 16.0000
Sample Size , n = 100
Sample Mean, x̅ = 95.7000
Assume Population Standard Deviation is NOT known | Assume Population Standard Deviation is 15 |
Test Statistic: t =(x̅ - µ )/(s/√n) = -2.6875 |
Test Statistic: z =(x̅ - µ )/(σ/√n) = -2.8667 |
DF=n-1= 99 Critical Value: t = -2.3646 |
Critical Value: z = - 2.3263 |
p-value:=0.0042 | p-value:= 0.0021 |
Conclusion About the Null: p value <α,so
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Conclusion About the Null:p value <α,so
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Conclusion About the Claim: (Pick One)
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Conclusion About the Claim: (Pick One)
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Please Help! Need to confirm my answer. You wish to test the claim that the average...
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