Exam 10: Hypothesis Tests Regarding a Parameter

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State Conclusions to Hypothesis Tests -A candidate for state representative of a certain state claims to be favored by at least half of the voters. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?

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Test Hypotheses about a Population Mean with Unknown -A shipping firm suspects that the mean life of a certain brand of tire used by its trucks is less than 36,000 miles. To check the claim, the firm randomly selects and tests 18 of these tires and gets a mean lifetime of 35,350 miles with a standard deviation of 1200 miles. At α=0.05\alpha = 0.05 , test the shipping firm's claim.

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critical value t0=1.740t _ { 0 } = - 1.740 ; standardized test statistic ±2.298\pm 2.298 ; reject H0\mathrm { H } _ { 0 } ; There is sufficient evidence to support the shipping firm's claim.

Test Hypotheses about a Population Mean with Known Using the Classical Approach -  Test the claim that μ>29, given that α=0.05 and the sample statistics are n=50,xˉ=29.3, and σ=1.2\text { Test the claim that } \mu > 29 \text {, given that } \alpha = 0.05 \text { and the sample statistics are } n = 50 , \bar { x } = 29.3 \text {, and } \sigma = 1.2 \text {. }

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 test statistic 1.77; critical value =1.645; reject H0\text { test statistic } \approx 1.77 \text {; critical value } = 1.645 \text {; reject } \mathrm { H } _ { 0 }

Test Hypotheses about a Population Proportion -In one area, monthly incomes of technology related workers have a standard deviation of $650\$ 650 . It is believed that the standard deviation of monthly incomes of non-technology workers is higher. A sample of 71 non-technology workers are randomly selected and found to have a standard deviation of $950\$ 950 . Test the claim that non-technology workers have a higher standard deviation. Use α=0.05\alpha = 0.05 .

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Explain Type I and Type II Errors -The mean age of judges in Los Angeles is 52.752.7 years. Identify the type I and type II errors for the hypothesis test of this claim.

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State Conclusions to Hypothesis Tests -The mean age of principals in a local school district is 56.756.7 years. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?

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Test Hypotheses about a Population Mean with Unknown -  Use a t-test to test the claim μ>39 at α=0.005, given the sample statistics n=25,xˉ=40, and s=3\text { Use a t-test to test the claim } \mu > 39 \text { at } \alpha = 0.005 \text {, given the sample statistics } \mathrm { n } = 25 , \bar { x } = 40 \text {, and } s = 3

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Test Hypotheses about a Population Mean with Known Using the Classical Approach -  Test the claim that μ920, given that α=0.01 and the sample statistics are n=35,xˉ=890, and σ=82\text { Test the claim that } \mu \neq 920 \text {, given that } \alpha = 0.01 \text { and the sample statistics are } n = 35 , \bar { x } = 890 \text {, and } \sigma = 82 \text {. }

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Test Hypotheses about a Population Proportion -A nationwide survey claimed that at least 50%50 \% of parents with young children condone spanking their child as a regular form of punishment. In a random sample of 100 parents with young children, how many would need to say that they condone spanking as a form of punishment in order to refute the claim at α=0.5\alpha = 0.5 ?

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Provide an appropriate response. -A _____is a statement or claim regarding a characteristic of one or more populations.

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Test Hypotheses about a Population Proportion -A brokerage firm needs information concerning the standard deviation of the account balances of its customers. From previous information it was assumed to be $250\$ 250 . A random sample of 61 accounts was checked. The standard deviation was $286.20\$ 286.20 . At α=0.01\alpha = 0.01 , test the firm's assumption. Assume that the account balances are normally distributed.

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Test Hypotheses about a Population Proportion -Test the claim that σ2=34.4\sigma ^ { 2 } = 34.4 if n=12, s2=28.8\mathrm { n } = 12 , \mathrm {~s} ^ { 2 } = 28.8 and α=0.05\alpha = 0.05 . Assume that the population is normally distributed.

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State Conclusions to Hypothesis Tests -The mean age of judges in Dallas is greater than 53.653.6 years. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?

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Test Hypotheses about a Population Mean with Known Using the Classical Approach -In a one-tailed test of the hypothesis using the classical method, the critical region is the area under the graph located

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Explain Type I and Type II Errors -We never conclude "Accept H0\mathrm { H } _ { 0 } " in a test of hypothesis. This is because:

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Test Hypotheses about a Population Mean with Known Using P-values -Suppose you are using α=0.01\alpha = 0.01 to test the claim that μ=1110\mu = 1110 using a P-value. You are given the sample statistics n=35,x=1080\mathrm { n } = 35 , \overline { \mathrm { x } } = 1080 , and σ=82\sigma = 82 . Find the P\mathrm { P } -value.

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State Conclusions to Hypothesis Tests -The mean age of professors at a university is 55.355.3 years. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?

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Test Hypotheses about a Population Mean with Known Using P-values -Given H0:μ85,H1:μ>85\mathrm { H } _ { 0 } : \mu \leq 85 , \mathrm { H } _ { 1 } : \mu > 85 , and P=0.006\mathrm { P } = 0.006 . Do you reject or fail to reject H0\mathrm { H } _ { 0 } at the 0.010.01 level of significance?

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Test Hypotheses about a Population Proportion -In 1990, the mean for the number of pets owned per household was 1.9. A poll of 1023 households conducted this year reported the mean for the number of pets owned per household to be 1.8. Assuming σ=1.1\sigma = 1.1 , is there sufficient evidence to support the claim that the mean number of pets owned has changed since 1990 at the α=\alpha = 0.10.1 level of significance?

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Test Hypotheses about a Population Mean with Unknown -  Use a t-test to test the claim μ2.8 at α=0.05, given the sample statistics n=15,x=3.1, and s=0.8\text { Use a t-test to test the claim } \mu \leq 2.8 \text { at } \alpha = 0.05 \text {, given the sample statistics } \mathrm { n } = 15 , \overline { \mathrm { x } } = 3.1 \text {, and } \mathrm { s } = 0.8 \text {. }

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