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Suppose a test procedure about the population mean μ\mu is performed, when the population is normal with known standard deviation σ,\sigma , then if the alternative hypothesis is H±:μ>μoH _ { \pm } : \mu > \mu _ { o } the rejection region for a level α\alpha test is __________.

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A certain pen has been designed so that "true" average writing lifetime under controlled conditions (involving the use of a writing machine) is at least 12 hours. A random sample of 18 pens is selected, the writing lifetime of each is determined, and a normal probability plot of the resulting data supports the use of a one-sample t test. a. What hypotheses should be tested if the investigator believe a priori that the design specification has been satisfied? b. What conclusion is appropriate if the hypotheses of part (a) are tested, t = -2.5, and α=.05\alpha = .05 ? c. What conclusion is appropriate if the hypotheses of part (a) are tested, t = -2, and α=.01\alpha = .01 ? d. What should be concluded if the hypotheses of part (a) are tested and t = -3.25?

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a. The appropriate hypotheses are blured image b. -2...

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Let p denote the proportion of individuals in a population who possess a specified property, and X denote the number of individuals in the sample who possess the same property. The estimator p^=X/n\hat { p } = X / n is __________ if E(p^)=pE ( \hat { p } ) = p and its standard deviation σPˉ\sigma _ { \bar {P} } = __________.

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Which of the following statements are true?


A) The probability of type I error, α\alpha
Is computed using the probability distribution of the test statistic when the null hypothesis is true.
B) The probability of type II error, β\beta
Requires knowing the distribution of the test statistic when the null hypothesis is false.
C) The probability of type I error, α\alpha
Is computed by summing over probabilities of test statistic values in the rejection region.
D) The probability of type II error, β\beta
Is computed by summing over probabilities of test statistic values in the complement of the rejection region.
E) All of the above statements are true.

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An engineer has suggested a change in the production process in the belief that it will result in a reduced defective rate. Let p denote the true proportion of defective items resulting from the changed process, and that 5% of items produced by a manufacturer during a certain period were defective. Then the research hypothesis is the assertion that __________.

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Suppose a test procedure about the population mean μ\mu is performed, when the population is normal with known standard deviation σ,\sigma , then if the alternative hypothesis is Ha:μμ0,H _ { a } : \mu \neq \mu _ { 0 } , the rejection region for a level α\alpha test is either __________ or __________.

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Suppose that a t test of Ho:μ=250 versus H±:μ250H _ { o } : \mu = 250 \text { versus } H _ { \pm } : \mu \neq 250 is based on 12 degrees of freedom. If the calculated value of the test statistic is 2.8, then the P-value is


A) .008
B) .992
C) .016
D) .492
E) .496

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Which of the following statements are not correctly stated?


A) The two possible conclusions from a hypothesis-testing analysis are rejecting the null hypothesis HoH _ { o }
Or accepting HoH _ { o }
)
B) In many situations, the alternative hypothesis H±H _ { \pm }

Is referred to as the "research hypothesis" since it is the claim that the researcher would really like to validate.
C) In our treatment of hypothesis testing, the null hypothesis will always be stated as an equality claim.
D) A test statistic is a rule, based on sample data, for deciding whether to reject the null hypothesis.
E) All of the above statements are correctly stated.

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Suppose a test procedure about the population mean μ\mu is performed, when the population is normal and the sample size n is small, then if the alternative hypothesis is H±:μ<μoH _ { \pm } : \mu < \mu _ { o } the rejection region for a level α\alpha test is __________.

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Suppose that a test procedure about the population proportion p is performed, and that the sample proportion p^\hat { p } is approximately normally distributed. If the alternative hypothesis is Ha:ppoH a : p \neq p _ { o } , then the rejection region for a level α\alpha test is either __________ or __________.

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Let p denote the proportion of individuals in a population who possess a specified property, and X denote the number of individuals in the sample who possess the same property. Provided that the sample size n is large, then both X and the estimator p^=X/n\hat { p } = X / n are approximately __________ distributed.

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If the P-value is larger than the level of significance α\alpha , then the researcher should __________ at level α.\alpha .

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A __________ error involves not rejecting the null hypothesis Ho when HoH _ { o } \text { when } H _ { o } is false.

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Let the test statistic Z have a standard normal distribution when H0H _ { 0 } is true. Give the significance level for each of the following situations. a. H±:μ>μ1, rejection region z2.602H _ { ± } : \mu > \mu _ { 1 } , \text { rejection region } z \geq 2.602 b. H±:μ<μ0, rejection region z2.069H _ { \pm } : \mu < \mu _ { 0 } , \text { rejection region } z \leq - 2.069 c. H±:μ=μ0, rejection region z2.042 or z2.042H _ { \pm } : \mu = \mu _ { 0 } \text {, rejection region } z \geq 2.042 \text { or } z \leq 2.042

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Which of the following statements are not generally true?


A) A type I error is usually more serious than a type II error.
B) A type II error is usually more serious than a type I error.
C) A test with significance level α\alpha
Is one for which the type I error probability is controlled at the specified level.
D) When an experiment and a sample size are fixed, then decreasing the size of the rejection region to obtain a smaller value of α\alpha
(probability of type I error) results in a larger value of β\beta
(probability of type II error) for any particular parameter value consistent with the alternative hypothesis H±H _ { \pm }
)
E) None of the above statements are true.

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If the calculated test statistic for two-tailed z test is -1.84, then the P-value is __________.

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Which of the following statements are true in testing H0:μ=275 versus H±:>275H _ { 0 } : \mu = 275 \text { versus } H _ { \pm } : > 275 based on a sample of size 15 from a normal population with unknown standard deviation σ\sigma ?


A) The test procedure requires the use of standard normal distribution.
B) The test procedure requires the use of binomial distribution.
C) The test procedure requires the use of exponential distribution.
D) The test procedure requires the use of t-distribution with 15 degrees of freedom.
E) None of the above statements are true.

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Let μ\mu denote the true average radioactivity level (picocuries per liter). The value 5 pCi/L is considered the dividing line between safe and unsafe water. Would you recommend testing H0:μ=5H _ { 0 } : \mu = 5 versus H±:μ>5 or H0:μ<5?H _ { \pm } : \mu > 5 \text { or } H _ { 0 } : \mu < 5 ? Explain your reasoning. (Hint: Think about the consequences of a type I and type II error for each possibility.)

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When the alternative is blured image the formulation...

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Which of the following statements are true?


A) When the results of an experiment are to be communicated to a large audience, rejection of HoH _ { o }
At level α\alpha
Will be much more convincing if the observed value of the test statistic greatly exceeds the α%\alpha \%
Critical value than if it barely exceeds that value.
B) A large P-value would indicate statistical significance in that it would strongly suggest rejection of Ho in favor of H±H _ { o } \text { in favor of } H _ { \pm }
C) In many experimental situations, only departures from HoH _ { o }
Of small magnitude would be worthy of detection, whereas a large departure from HoH _ { o }
Would have little practical significance.
D) All of the above statements are true.
E) None of the above statements are true.

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Each of a group of 20 intermediate tennis players is given two tennis rackets, one with the two rackets, each player will be asked to state a preference for one of the two types of strings. Let p denote the proportion of all such players who would prefer gut to nylon, and let X be the number of players in the sample who prefer gut. Because gut strings are more expensive, consider the null hypothesis that at most 50% of all such players prefer gut. We simplify this to H0:p=.5H _ { 0 } : p = .5 planning to reject H0H _ { 0 } only if sample evidence strongly favors gut strings. a. Which of the rejecting regions { 15, 16, 17, 18, 19, 20}, {0, 1, 2, 3, 4, 5}, or { 0, 1, 2, 3, 17, 18, 19, 20} is most appropriate, and why are the other two not appropriate? b. What is the probability of a type I error for the chosen region of part (a)? Does the region specify a level .05 test? Is it the best level .05 test? c. If 60% of all enthusiasts prefer gut, calculate the probability of a type II error using the appropriate region from part (a). Repeat if 80% of all enthusiasts prefer gut. d. If 13 out of the 20 players prefer gut, should H0H _ { 0 } be rejected using a significance level of .10?

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a. The alternative of interest here is blured image ...

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