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QUESTION 1 Data analysts use one-sample hypothesis tests to ______. frustrate students manage random sampling error justify their jobs make bad decisions All of the

QUESTION 1

  1. Data analysts use one-sample hypothesis tests to ______.
  2. frustrate students
  3. manage random sampling error
  4. justify their jobs
  5. make bad decisions
  6. All of the choices above
  7. None of the choices

QUESTION 2

  1. How are one-sample hypothesis tests different from confidence intervals?
  2. One-sample hypothesis tests construct intervals and partial intervals around benchmarks instead of intervals around estimators.
  3. One-sample hypothesis tests use alpha instead of the confidence level.
  4. One-sample hypothesis tests are not different from confidence intervals.
  5. One-sample hypothesis tests provide less information about random sampling error.
  6. All of the choices above
  7. None of the choices

QUESTION 3

  1. The critical value ______.
  2. is required for use of thep-value approach to one-sample hypothesis tests
  3. is the standardized value of the estimate
  4. is the standardized value associated with alpha or alpha/2
  5. is the probability of committing type II error
  6. All of the choices above
  7. None of the choices

QUESTION 4

  1. A false positive in one-sample hypothesis tests occurs when ______.
  2. you use the absolute value to turn a negative value to a positive value
  3. you fail to reject the null hypothesis when it is false
  4. you reject the alternative hypothesis when it is true
  5. you reject the null hypothesis when it is true
  6. All of the choices above
  7. None of the choices

QUESTION 5

  1. A one-tail, one-sample hypothesis test ______.
  2. is more powerful than a two-tail, one-sample hypothesis test
  3. is less powerful than a two-tail, one-sample hypothesis test
  4. requires a skewed population
  5. lowers random sampling error
  6. All of the choices above
  7. None of the choices

QUESTION 6

  1. You would reject the null hypothesis if ______.
  2. the critical value is less than alpha
  3. the test statistic is less than alpha
  4. zcalcis less than alpha
  5. thep-value is less than alpha
  6. All of the choices above
  7. None of the choices

QUESTION 7

  1. If the estimate being tested is less than the benchmark, you should conduct a ______ one-sample hypothesis test.
  2. two tail
  3. right tail
  4. left tail
  5. no tail
  6. All of the choices above
  7. None of the choices

QUESTION 8

  1. If the estimate is 29 and the benchmark is 28, because of the probability that the estimate suffers from some random sampling error, it would be logical to ask ______, or is the difference probably due to random sampling error?
  2. is the estimate probably greater than the benchmark
  3. is the estimate greater than the benchmark
  4. is the benchmark wrong
  5. is alpha too low
  6. All of the choices above
  7. None of the choices

QUESTION 9

  1. Assume, for the sake of this question, that the data were collected through a well-designed, well-implemented random sampling method. The marketing department of a widget manufacturer collected potential consumer preference data regarding a proposed widget upgrade. Three hundred thirty-eight of 575 respondents reported preferring the proposed new widget. The widget manufacturing company had established a threshold of 60% preferring the proposed new widget to move forward with producing the new widgets. At a .10 level of significance, was the threshold probably met?
  2. Yes
  3. No
  4. There is insufficient information to answer this question
  5. All of the choices above
  6. None of the choices

QUESTION 10

  1. Assume that a process has a company-established specification for variation set atminutes. Assume that a well-designed, well-implemented random sample of 150 process time measurements was collected. The mean time was 97.3 minutes, with a standard deviation of 4.77 minutes. Using the company established significance level of .07, is the process probably operating within its company-established specification?
  2. Yes
  3. No
  4. There is insufficient information to answer this question
  5. All of the choices above
  6. None of the choices

QUESTION 11

  1. Continuing with the previous question ... based on the data collected from their sample, how confident should the company be that their process either is or is not operating within its specification for variation in the time required for the process?
  2. Approximately 99.95% confident
  3. Approximately 94.56% confident
  4. There is insufficient information to answer this question
  5. All of the choices above
  6. None of the choices

QUESTION 12

  1. In a two-sample hypothesis test for zero difference, what is the probability that the difference in the two estimates is not due to sampling error?
  2. The probability associated with the critical value
  3. One minus thepvalue
  4. Thepvalue
  5. The probability associated with the test statistic

QUESTION 12

  1. In a two-sample hypothesis test, D0is equivalent to the ______ in a one-sample hypothesis test.
  2. benchmark
  3. pvalue
  4. test statistic
  5. level of significance

QUESTION 13

  1. In hypothesis testing, the test statistic vs. the critical value method ______ thepvalue vs. alpha method.
  2. provides more information than
  3. provides the same information as
  4. can result in different decisions regarding the null hypothesis
  5. always results in the same decision regarding the null hypothesis as

QUESTION 14

  1. A paired sample test of means should be used to test the hypothesis statement H1:
  2. True
  3. Chimpanzee
  4. Mathilda
  5. Fahrenheit

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QUESTION 5 1 What hypothesis test should be used to test H1: > 1 02 2 One-sample test of means One-sample test of proportions One-sample test of variances Two-sample test of means (independent samples) Two-sample test of means (paired samples) Two-sample test of proportions Two-sample test of variancesQUESTION 6 What hypothesis test should be used to test H1: X 1 - X2 of Left tailed, one-sample test of means Right tailed, one-sample test of means Left tailed, one-sample test of proportions Right tailed, one-sample test of proportions Left tailed, one-sample test of variances Right tailed, one-sample test of variances Left tailed, two-sample test of means (independent samples) Right tailed, two-sample test of means (independent samples) Left tailed, two-sample test of means (paired samples) Right tailed, two-sample test of means (paired samples) Left tailed, two-sample test of proportions Right tailed, two-sample test of proportions Left tailed, two-sample test of variances Right tailed, two-sample test of variancesQUESTION O What hypothesis test should be used to test H,: d > 3 Left tailed, one-sample test of means Right tailed, one-sample test of means Left tailed, one-sample test of proportions Right tailed, one-sample test of proportions Left tailed, one-sample test of variances Right tailed, one-sample test of variances Left tailed, two-sample test of means (independent samples) Right tailed, two-sample test of means (independent samples) Left tailed, two-sample test of means (paired samples) Right tailed, two-sample test of means (paired samples) Left tailed, two-sample test of proportions Right tailed, two-sample test of proportions Left tailed, two-sample test of variances Right tailed, two-sample test of variancesQUESTION 9 If the p value is

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