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To test the hypotheses: H0: μ\mu = 40 vs.H1: μ\mu \neq 40,we draw a random sample of size 16 from a normal population whose standard deviation is 5.If we set α\alpha = 0.01,find the probability of committing a Type II error when μ\mu = 37.

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blured image = P(36.775 < blured image < 43....

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A(n)____________________ characteristic curve plots the probability of a Type II error for various alternative values of ____________________.

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If the p value is less than α\alpha in a two-tail test:


A) the null hypothesis should not be rejected.
B) the null hypothesis should be rejected.
C) a one-tail test should be used.
D) No conclusion should be reached.

E) A) and D)
F) A) and B)

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Toaster Oven An appliance manufacturer claims to have developed a new toaster oven that consumes an average of no more than 250 W.From previous studies,it is believed that power consumption for toaster ovens is normally distributed with a standard deviation of 18 W.A consumer group suspects the actual average is more than 250 W.They take a sample of 20 toaster ovens and calculate the average consumption to be 260 W. -{Toaster Oven Narrative} What is the conclusion from the hypothesis test using α\alpha = .05?

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Since the p-value = 0.0064 < .05,we reje...

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As the alternative value of μ\mu increases,so does the power of the test.

A) True
B) False

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In a two-tail test for the population mean,if the null hypothesis is rejected when the alternative hypothesis is true:


A) a Type I error is committed.
B) a Type II error is committed.
C) a correct decision is made.
D) a one-tail test should be used instead of a two-tail test.

E) All of the above
F) C) and D)

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The probability of a Type II error is denoted by ____________________.

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It is possible to commit a Type I error and a Type II error at the same time.

A) True
B) False

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You reject H0 if the p-value of your hypothesis is ____________________ than the significance level.

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If we reject the null hypothesis when it is false,then we have committed:


A) a Type II error.
B) a Type I error.
C) both a Type I error and a Type II error.
D) neither a Type I error nor a Type II error.

E) A) and B)
F) A) and C)

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For a given level of significance,if the sample size is increased,the power of the test will increase.

A) True
B) False

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Rechargeable Batteries A researcher wants to study the average lifetime of a certain brand of rechargeable batteries (in hours).In testing the hypotheses,H0: μ\mu = 950 hours vs.H1: μ\mu \neq 950 hours,a random sample of 25 rechargeable batteries is drawn from a normal population whose standard deviation is 200 hours. -{Rechargeable Batteries Narrative} Calculate β\beta ,the probability of a Type II error when μ\mu = 1000 and α\alpha = 0.10.

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blured image = P(884.2 < blured image < 1015...

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If a researcher rejects a true null hypothesis,she has made a(n)____________________ error.

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The owner of a local Karaoke Bar has recently surveyed a random sample of n = 300 customers of the bar.She would now like to determine whether or not the mean age of her customers is over 35.If so,she plans to alter the entertainment to appeal to an older crowd.If not,no entertainment changes will be made.If she wants to be 99% confident in her decision,what rejection region she use if the population standard deviation σ\sigma is known?


A) Reject H0 if z < -2.33
B) Reject H0 if z < -2.58
C) Reject H0 if z > 2.33
D) Reject H0 if z > 2.58

E) A) and B)
F) A) and D)

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If we do not reject the null hypothesis,we conclude that there ____________________(is/is not)enough statistical evidence to infer that the alternative hypothesis is true.

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The hypothesis testing procedure begins with the assumption that the null hypothesis is ____________________.

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In a one-tail test,the p-value is found to be equal to 0.054.If the test had been two-tail,then the p-value would have been 0.027.

A) True
B) False

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If we reject the null hypothesis,we conclude that there is enough statistical evidence to infer that the alternative hypothesis is true.

A) True
B) False

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A Type I error occurs when we:


A) reject a false null hypothesis.
B) reject a true null hypothesis.
C) don't reject a false null hypothesis.
D) don't reject a true null hypothesis.

E) C) and D)
F) A) and D)

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A Type II error is defined as:


A) rejecting a true null hypothesis.
B) rejecting a false null hypothesis.
C) not rejecting a true null hypothesis.
D) not rejecting a false null hypothesis.

E) B) and C)
F) A) and D)

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