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Newest Hypothesis Testing Questions

1. If your null and alternative hypothesis are:H_0 : p = 0 H_A : p > 0 Then the test is: left-tailed or right-tailed? If we reject
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2. Your friend claims that he averages a 95% on his exams. You want to test his claim.Identify the null hypothesis. (h_0 and h_a)
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3. Your friend claims that he averages a 95% on his exams. You want to test his claim.Identify the null hypothesis. Identify the
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4. You wish to test the following claim (H_a) at a significance level of alpha= 0.10.H_o : μ = 83.9 H_a : μ < 83.9 You believe
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5. You wish to test the following claim H_a at a significance level of alpha =0.05H_o : mu = 74.1 H_a : mu > 74.1 You believe the
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6. You wish to test the following claim H_a at a significance level of alpha =0.005H_o : mu = 80.8 H_a : mu > 80.8 You believe the
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7. Use the following information: \bar{x}_1=11.7, s_1=2.5, n_1=93, \bar{x}_2=10.3, s_2=2.8, n_2=66and the formula to compute the
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8. You wish to test the following claim (H_a) at a significance level of alpha= 0.001.H_o : mu = 74.7 H_a : mu < 74.7 You believe
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9. When conducting a hypothesis test with a binomial distribution (sometimes called a Binomial Test), there are three ways to
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10. You are conducting a study to see if the accuracy rate for fingerprint identification is significantly less than 0.87. You use a
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11. You are conducting a study to see if the probability of catching the flu this year is significantly more than 0.33. You use a
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12. You are conducting a study to see if the probability of catching the flu this year is significantly more than 0.33. You use a
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13. Test the claim that the proportion of people who own cats is larger than 90% at the 0.05 significance level.Based on a sample of
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14. You wish to test the following claim () at a significance level of .You obtain a sample of size in which there are 497
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15. You wish to test the following claim (H a) at a significance level of alpha =0.01. H_o : p = 0.4 H_a : p < 0.4 You obtain a
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16. You wish to test the following claim (H a) at a significance level of alpha =0.01. H_o : p = 0.4 H_a : p < 0.4 You obtain a
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17. You wish to test the following claim (H a) at a significance level of alpha =0.01. H_o : p = 0.4 H_a : p < 0.4 You obtain a
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18. The hypotheses of H0: μ = 5.5 and Ha: μ < 5.5 were to be tested. An equivalent confidence interval was found to be (5.2, 5.9).
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19. The mean weight of male aerobics instructors in a certain city is at least 164 lbs. Express the null and alternative hypotheses
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20. For a confidence level of 80% with a sample size of 25, find the critical t value.
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21. 3. There are seven positive differences in the paired observations, five negative differences and 4 zero differences.3.1 If a
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22. A random sample of size n = 40 is taken. Conduct a goodness of fit test to see whether this sample appears to have been selected
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23. ANOVA table:Source SS df MS Fcalc Ftab Treatments H J 34.8889 M P Error 84 15 L Total I K What is the value of P at 0.05
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24. The US census bureau computed the proportion of US residents who lived in each of 4 geographic regions in Year A. Then a simple
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25. The US census bureau computed the proportion of US residents who lived in each of 4 geographic regions in Year A. Then a simple
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26. The breaking strength of hockey stick shafts made of two different graphite kevlar composites yields the following results .
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27. A random sample of size 27 from a normal distribution has standard deviation s= 56. Test H0:= 58 versus H1: not equal 58. It's a
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28. The General Social survey conducted a poll of 625 adults in which the subjects were asked whether they agree that the government
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29. (a) A random sample of 200 married men, all retired, were classified according to educationand number of children: Education
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30. Find the critical value f 0.025 for F 8, 22
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31. The 2012 General Social Survey asked a large number of people how many times they spent watching TV each day. The mean number of
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32. The 2012 General Social Survey asked a large number of people how many times they spent watching TV each day. The mean number of
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33. The 2012 General Social Survey asked a large number of people how many times they spent watching TV each day. The mean number of
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34. Scores of an IQ test are normally distributed. A sample of 25 IQ scores had standard deviation s= 8. The developer of the test
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35. The 2012 General Social Survey asked a large number of people how many times they spent watching TV each day. The mean number of
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    2. 118 views
36. The 2012 General Social Survey asked a large number of people how many times they spent watching TV each day. The mean number of
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    2. 124 views
37. a) A random sample of 200 married men, all retired, were classified according to educationand number of children: Education
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38. a) A random sample of 200 married men, all retired, were classified according to educationand number of children: Education
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39. Themeanlife of 100 bulbs produced by a company is computedto be 1570 hours with standard deviation of 120hours. the company
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40. A sample of 1300computer chips revealed that 42% of the chips do not fail in the first 1000 hours of their use. The company's
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41. For the given scenario, determine the type of error that was made, if any. (Hint: Begin by determining the null and alternative
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42. For a chi ^ 2 test of independence, a researcher computes a chi ^ 2 value of 22.5. The two-way table from which this value was
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43. Which of the following differences in the means would lead a researcher to conclude that there is a statistically significant
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44. When the following results are obtained when testing for heteroscedasticity what do they imply?Chi 2 (1) = 16.98 Prob greater
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    2. asked by Elick
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45. One study claimed that 86 % of college students identify themselves as procrastinators. A professor believes that the claim
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46. One study claimed that 86%of college students identify themselves as procrastinators. A professor believes that the claim
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47. One study claimed that 86%of college students identify themselves as procrastinators. A professor believes that the claim
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48. One study claimed that 91%of college students identify themselves as procrastinators. A professor believes that the claim
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49. The table includes results from polygraph experiments. In each case, it was known if the subject lied or did not lie, so the
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50. Which of the following could be an accurate conclusion from a randomization test?(1 point) Responses There is proof of a
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51. What is ANOVA
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52. Meaning of T test
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53. A manufacturer of potato chips would like to know whether its bag filling machine works correctly at the 418 gram setting. It is
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54. A newsletter publisher believes that 33%of their readers own a Rolls Royce. Is there sufficient evidence at the 0.10 level to
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55. In a two-treatment experiment, the experimental mean is considered significant only under which of the following
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56. A minister claims that more than 60% of the adult population attends a religious service at least once a month. The null and
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57. You're conducting a significance test for H_{0} / p = 0.35 H_{a} / p < 0.35 . In a sample of size 40, you identify a count of 11
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58. A researcher is going to perform a significance test for the difference between two population proportions ( H_{0} p_{1} = p_{2}
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59. A researcher is going to perform a significance test for the difference between two population proportions ( H_{0} p_{1} = p_{2}
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60. An advertiser claims that 3 out of 4 dentists (75%) recommend Brand X toothpaste. A consumer group investigates the truth of
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61. Which of the following are trueI. A null hypothesis is always stated in terms of a sample value Il. Random samples are only
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62. lmagine you're a researcher and you need to perform a one-sided test of an alternate hypothesis. You decide to conduct a
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63. Using the data below and a 0.05 significant level test the claim that the responses occurred with percentages of 15% 20% 25% 25%
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64. Using the data below and a 0.05 significant level test the claim that the responses occurred with percentages of 15% 20% 25% 25%
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65. Using the data below and a 0.05 significant level test the claim that the responses occurred with percentages of 50% 20% 25% 25%
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66. A two-sided test of a hypothesis, based on a sample of size 9, yields a P-value of .035. Which of the following best describes
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67. You conduct a two-sided hypothesis test for the difference between two means based on a matched pairs comparison between two
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68. A school district claims that the average teacher in the district earns $45,000 per year. The teacher's union disputes this
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69. Consider the following set of sample data:(34, 32, 34, 32, 40, 37, 31, 31, 29, 27) We're interested in using this data to test a
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70. Say you're going to conduct a procedure for the difference between the means of two populations. You decide the samples, of
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71. Explain f-test for comparison data
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72. Comparison of method f-test and t-test
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73. Explain F-test for comparison of data.
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74. A nutritionist believes that 10% of teenagers eat cereal for breakfast. To investigate this claim, she selects a random sample
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75. A nutritionist believes that 10% of teenagers eat cereal for breakfast. To investigate this claim, she selects a random sample
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76. A teacher has two large containers filled with blue, red, and green beads, and claims the proportion of red beads is the same in
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77. Explain F-test for comparison of data. Predict if the precision levels of two methods given in numerical (e) above differ
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78. It is claimed that a random sample of 100 tyres with a mean life of 15269 km is drawn from a population of tyres which has a
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    2. asked by Rajesh
    3. 108 views
79. Ex plain one tailed test and two tailed test with an example each
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    2. asked by Rajesh
    3. 107 views
80. It is known that the mean diameters of rivets produced by two firms A and B are 53 [7M and 48 respectively, and the standard
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81. At a certain large university a sociologist speculates that male students spend considerably more money on junk food than do
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82. A company is interested in knowing if there is a difference in the average salary received by foremen in two divisions.
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83. In a random sample of 1000 persons from town A, 400 are found to be consumers of wheat. In a random of 800 from town B, 400 are
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84. Critical value example
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85. A case control study was conducted to investigate a relationship between the colors of helmets born by motorcycle drivers and
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86. Two popular cruise ships experience outbreaks of neurovirus with in two months of each other. Results are shown on the table.
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87. Dr. Yentz reads a report that claims the average college male drinks 9 alcoholic beverages a week. He wants to determine if
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88. 1 A random sample of 6 steel beams has a mean compressive strength of 58,392 p.s.i (pounds per square inch) with a standard
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89. A manufacturer claimed that at least 95% of the equipment which he supplied to a factory conformed to specifications. An
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90. social worker believes that fewer than 25% of couples in a certain area have ever used any form of birth control. A random
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91. Which of the following are true:I. A null hypothesis is always stated in terms of a sample value. II. Random samples are only
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92. Question 5 of 12We're testing the hypothesis that the average boy walks at 18 months of age ( H_{0}*mu = 18 . We assume that the
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93. Which of the following is not a necessary step in every hypothesis testing procedure using a test statistic?A. State a test
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94. Question 3 of 12A test statistic is found to have a P-value of 015. Which of the following statements are true? I This finding
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95. Find the value of the test statistic z using z=^p−p√pq/n.The claim is that the proportion of accidental deaths of the
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96. In a one-sided hypothesis test where Ho: mu = 1.2I , H_{a} / mu > 1.2Ib and alpha = 0.01 , what's the rejection region we'd use
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97. A local school board believes there is a difference in the proportion of households with school-aged children that would support
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98. The research investigator is interested in studying whether there is a significant difference in the salaries of MBA grades into
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99. The standard deviation of a simple random sample of 15 customer waiting Times is found to be 4.8 minutes. Find the test
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100. 81. Random people versus read about the time it takes with you tomorrow in the morning. Standard deviation of the super random
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