Answered: In a t-test result, regardless if it is…

In a t-test result, regardless if it is paired or independent, if the p-value is set at 0.05 and the test p-value is greater than 0.05, then the hypothesis decision should be to accept Ho" True False

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A random sample of 200 students is taken at the University of Ottawa in order to determine the true proportion p who smoke marijuana. It is observed that 130 smoke marijuana. We wish to test Ho p = 0.75 H₁ p < 0.75 at the 0.05 significance level. The value of the test statistic and the decision are -3.27 reject the null hypothesis 3.27 do not reject the null hypothesis 2.45 reject the null hypothesis -2.45 reject the null hypothesis
Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error. True False
A change is made that should improve student satisfaction with the parking situation at your school. Before the change, 37% of students approve of the parking that's provided. The null hypothesis Ho : p = 0.37 is tested against the alternative H.: p > 0.37 The given hypotheses are incorrect. What are the appropriate hypotheses for performing this significance test? Ho : p = 0.37; Ha :p> 0.37, where p= the true proportion of students that approve of the parking that's provided. Ho : p = 0.37; Ho : p + 0.37, where p= the true proportion of students that approve of the parking that's provided. Ho : p > 0.37; Họ : p = 0.37, where p= the true proportion of students that approve of the parking that's provided. Ho : p = 0.37; H, : p + 0.37, where p the sample proportion of students that approve of the parking that's provided. Ho : p > 0.37; Họ : p = 0.37, where p the sample proportion of students that approve of the parking that's provided.
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject Ho when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a = 0.10. P= 0.0961 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject Ho because the P-value, 0.0961, is greater than a =0.01. O B. Fail to reject Ho because the P-value, 0.0961, is greater than a = 0.01. O C. Reject Ho because the P-value, 0.0961, is less than a = 0.01. O D. Fail to reject Ho because the P-value, 0.0961, is less than a = 0.01. (b) Do you reject or fail to reject Ho at the 0.05 level of significance? O A. Fail to reject Ho because the P-value, 0.0961, is less than a = 0.05. O B. Fail to reject Ho because the P-value, 0.0961, is greater than a = 0.05. O C. Reject Ho because the P-value, 0.0961, is less than a = 0.05. O D. Reject Ho because the P-value, 0.0961, is greater than a = 0.05. (c) Do you reject or fail to reject Ho at the 0.10 level of significance? O A. Fail to…
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject Ho when the level of significance is (a) a = 0.01, (b) a =0.05, and (c) a= 0.10. P= 0.1089 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject Ho because the P-value, 0.1089, is greater than a= 0.01. O B. Reject H, because the P-value, 0.1089, is less than a= 0.01. O C. Fail to reject Ho because the P-value, 0.1089, is less than a = 0.01. D. Fail to reject Ho because the P-value, 0.1089, is greater than a = 0.01. (b) Do you reject or fail to reject Ho at the 0.05 level of significance? O A. Fail to reject Ho because the P-value, 0.1089, is greater than a = 0.05. 0.05. O B. Reject H, because the P-value, 0.1089, is greater than O C. Fail to reject Ho because the P-value, 0.1089, is less than a = 0.05. O D. Reject H, because the P-value, 0.1089, is less than a = 0.05.
The p-value for a hypothesis test turns out to be 0.03628. At a 9% level of significance, what is the proper decision? Reject Ho O Fail to reject Ho
An institute conducted a clinical trial of its methods for gender selection. The results showed that 153 of 276 babies born to parents using a specific gender-selection method were boys. Use the sign test and a 0.05 significance level to test the claim that the method has no effect on the likelihood of a boy. Let p denote the population proportion of baby boys. Ignore the possibility of the method decreasing the likelihood of a boy. What are the null and alternative hypotheses? O A. Ho: p=0.5 H₂₁: p20.5 O C. Ho: p=0.5 H₁: p=0.5 O B. Ho:p>0.5 H₁: p=0.5 O D. Ho: p=0.5 H₁: p > 0.5 Find the test statistic. Test statistic = Find the P-value. P-value = (Round to four decimal places as needed.) Determine the proper conclusion. Choose the correct answers below. Since the P-value is (Round to two decimal places as needed.) than the significance level, evidence that the method used is effective in increasing the likelihood of a boy. the null hypothesis. There is
Do the needs of patients in the emergency room differ for those who come by car vs. those by ambulance? Of the randomly selected emergency room patients who came by car 51 had an injury, 40 were sick, 31 had heart problems and 61 had other needs. Of the randomly selected emergency room patients who came by ambulance 45 had an injury, 30 were sick, 55 had heart problems and 38 had other needs. Conduct the appropriate hypothesis test using an a = 0.10 level of significance. a. What is the correct statistical test to use? O Paired t-test O Homogeneity Goodness-of-Fit O Independence b. What are the null and alternative hypotheses? Ho: O Means of transportation to the emergency room and emergency room needs are independent. Means of transportation to the emergency room and emergency room needs are dependent. The distribution of emergency room needs for patients who come by car is the same as it is for patients who come by ambulance. The distribution of emergency room needs for patients who…
A university has decided to introduce the use of plus and minus grading as long as there is evidence that 60% of the faculty is in support of this change. Write an appropriate null hypothesis and alternate hypothesis to test if the proportion is greater than 60%.
A study was conducted to determine the proportion of people who dream in black and white instead of color. Among 285 people over the age of 55, 76 dream in black and white, and among 287 people under the age of 25, 10 dream in black and white. Use a 0.01 significance level to test the claim that the proportion of people over 55 who dream in black and white is greater than the proportion for those under 25. Test the claim using a hypothesis test. Consider the first sample to be the sample of people over the age of 55 and the second sample to be the sample of people under the age of 25. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: P1 = P2 H: P1> P2 O B. Ho: P1 = P2 OC. Ho: P1 = P2 H: P Persuasive Spe.docx a Persuasive Spee.doc a PersuasiveSpch.doc tv MacBook Air F10 F9 心. 20 F3 FS esc F1 F2 & $ % 8 9 @ 4 5 6 2 Y W E R K #3
A null and alternative hypothesis are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Ho: Ha: р = 0.8 p0.8 What type of test is being conducted in this problem? A. Left-tailed test B. Two-tailed test C. Right-tailed test
In 2011, a U.S. Census report determined that 56% of college students are working students. A researcher thinks this percentage has changed and surveys 162 college students. The researcher reports that 88 of the 162 are working students. Is there evidence to support the researcher's claim at the 1% significance level? Determine the null and alternative hypotheses.H0: p=H1: p ? > ≠ < (Select the correct symbol and enter the value.) Determine the test statistic. Round to two decimal places.z= Find the p-value. Round to four decimal places.p-value = Are the results statistically significant? Fail to reject the null hypothesis. Reject the null hypothesis. Write the conclusion. There is not sufficient evidence to support the claim that the percentage of working college students has changed. There is sufficient evidence to support the claim that the percentage of working college students has changed.