1. Given n= 36, i = 786, o= 48, µ= 800 to test the hypothesis that u= 800 against µt 800. What is the test statistic used? A. z = B. z = C. t = D. t = 2. What is type I error? A. Fail to reject Ho if...


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1. Given n= 36, i = 786, o= 48, µ= 800 to test the hypothesis that u= 800 against µt<br>800. What is the test statistic used?<br>A. z =<br>B. z =<br>C. t =<br>D. t =<br>2. What is type I error?<br>A. Fail to reject Ho if Ho is true<br>B. Fail to reject Ho if Ho is false<br>C. Reject Ho if Ho is true<br>D. Reject Ho if Ho is false<br>3. It is claimed that a random sample of 49 tires has a mean life of 15,200 km. This<br>sample was drawn from a population whose mean is 15,150 km and standard<br>deviation of 1,200 km. Test the claim at the 0.05 level of significance. What is the<br>value of the test statistic?<br>A. -0.29<br>B. 0.39<br>C. 0.29<br>D. -0.39<br>4. If x = 31, x2 = 28, s= 2.13, ni= 6, n2=7 then t=-<br>В. 3.68<br>А. 3.71<br>С. 3.70<br>D. 3.69<br>5. If ī = 14.9, µ= 10.5, s= 10.3, n= 8, then t= .<br>В. 1.202<br>А. 1.30<br>C. 1.21<br>D. 1.22<br>6. The level of significance (usually .05) associated with a significance test is the<br>probability,<br>A. That the alternative hypothesis is true.<br>B. That the null hypothesis is true.<br>C. Of not rejecting a true null hypothesis.<br>D. Of rejecting a true null hypothesis.<br>

Extracted text: 1. Given n= 36, i = 786, o= 48, µ= 800 to test the hypothesis that u= 800 against µt 800. What is the test statistic used? A. z = B. z = C. t = D. t = 2. What is type I error? A. Fail to reject Ho if Ho is true B. Fail to reject Ho if Ho is false C. Reject Ho if Ho is true D. Reject Ho if Ho is false 3. It is claimed that a random sample of 49 tires has a mean life of 15,200 km. This sample was drawn from a population whose mean is 15,150 km and standard deviation of 1,200 km. Test the claim at the 0.05 level of significance. What is the value of the test statistic? A. -0.29 B. 0.39 C. 0.29 D. -0.39 4. If x = 31, x2 = 28, s= 2.13, ni= 6, n2=7 then t=- В. 3.68 А. 3.71 С. 3.70 D. 3.69 5. If ī = 14.9, µ= 10.5, s= 10.3, n= 8, then t= . В. 1.202 А. 1.30 C. 1.21 D. 1.22 6. The level of significance (usually .05) associated with a significance test is the probability, A. That the alternative hypothesis is true. B. That the null hypothesis is true. C. Of not rejecting a true null hypothesis. D. Of rejecting a true null hypothesis.
7. The value set for a is known as:<br>A. the rejection level<br>B. the acceptance level<br>C. the significance level<br>D. the error in the hypothesis test<br>8. If a researcher takes a large enough sample, he/she will almost always obtain:<br>A. virtually significant results<br>B. practically significant results<br>C. consequentially significant results<br>D. statistically significant results<br>9. One-tailed alternatives are phrased in terms of:<br>B. < or ><br>A. +<br>C. + or =<br>D. s or 2<br>10. A two-tailed test is one where:<br>A. results in only one direction can lead to rejection of the null hypothesis<br>B. negative sample means lead to rejection of the null hypothesis<br>C. results in either of two directions can lead to rejection of the null hypothesis<br>D. no results lead to the rejection of the null hypothesis<br>

Extracted text: 7. The value set for a is known as: A. the rejection level B. the acceptance level C. the significance level D. the error in the hypothesis test 8. If a researcher takes a large enough sample, he/she will almost always obtain: A. virtually significant results B. practically significant results C. consequentially significant results D. statistically significant results 9. One-tailed alternatives are phrased in terms of: B. < or=""> A. + C. + or = D. s or 2 10. A two-tailed test is one where: A. results in only one direction can lead to rejection of the null hypothesis B. negative sample means lead to rejection of the null hypothesis C. results in either of two directions can lead to rejection of the null hypothesis D. no results lead to the rejection of the null hypothesis

Jun 09, 2022
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