MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- The last part of the question, the options are: sufficient OR insufficient; support OR do not support. Thx!arrow_forwardIn hypothesis testing, if the test statistic falls in the critical region then we reject the null hypothesis. a. Trueb. Falsearrow_forwardMean=3.003 SD =0.058 Num samples=100 2.80 2.90 3 3.10 Sample means A certain fast-food location claims that the average (mean) wait time in the drive-thru lane is 3 minutes. One customer thinks that the average wait time is actually longer than that, and so the customer takes a random sample of drive-thru lane wait times. The customer observes 72 transactions, and the average (mean) wait time for these 72 transactions is 3.6 minutes. In order to conduct a statistical analysis, an applet was used to see if the candidate's claim is plausible. Use the distribution of 100 simulated statistics generated by the applet (pictured above) to answer the questions. a) There are 100 little squares in the simulated distribution. What does each little square represent? O The average wait time of a sample of 72 drive thru transactions if we assume that the average wait time for all transactions is atually 3 minutes. The average wait time of a sample of 100 drive thru transactions if we assume that the…arrow_forward
- The null hypothesis in the test for goodness of fit is that a. the data fit the expected frequencies. b. the data do not fit the expected frequencies. c. the variables are independent. d. the variables are dependent.arrow_forward4) Which of the following sets of measures of association represent the values of the null hypotheses? (note: RD = Risk Difference which is synonymous with Attributable Risk) a) RD>0, RR>1, OR>1 b) RD=0, RR=1, OR=1 c) RD#0, RR#0, OR#0 d) RD 1, RR#1, OR#1 e) None of the abovearrow_forwardResearchers conducted an experiment to test the effects of alcohol. Errors were recorded in a test of visual and motor skills for a treatment group of 23 people who drank ethanol and another group of 23 people given a placebo. The errors for the treatment group have a standard deviation of 2.40, and the errors for the placebo group have a standard deviation of 0.78. Assume that the two populations are normally distributed. Use a 0.05 significance level to test the claim that both groups have the same amount of variation among the errors. Let sample 1 be the sample with the larger sample variance, and let sample 2 be the sample with the smaller sample variance. What are the null and alternative hypotheses? OA. H₂:0² = 0²/2 OB. H₂:0² = 0²/2 H₁: 0²/12 #02/22 H₁:0² > 0²/2 ỌC Họỏi cơ OD. Ho: 0²/02/2 H₁:0² <0² H₁:0² = 0²/2 Identify the test statistic. (Round to two decimal places as needed.) Use technology to identify the P-value. (Round to three decimal places as needed.)arrow_forward
- We will _______ if the test statistic lands in the unlikely region. Group of answer choices A. reject the alternative hypothesis B. fail to reject the null hypothesis C. cannot determine D. reject the null hypothesis and accept the alternative hypothesisarrow_forwardThe table below includes results from polygraph (lie detector) experiments conducted by researchers. In each case, it was known if the subjected lied or did not lie, so the table indicates when the polygraph test was correct. Use a 0.05 significance level to test the claim that whether a subject lies is independent of the polygraph test indication. Do the results suggest that polygraphs are effective in distinguishing between truth and lies? No(did not lie) Yes(lied) Polygraph test indicated that the subject lied. 14 47 Polygraph test indicated that the subject did not lie. 9 12 Determine the test statistic. (round to three decimal places) Determine the P-value of the test statistic. (round to four decimal places) Do the results suggest that polygraphs are effective in distinguishing between truth and lies?arrow_forwardAll test of hypothesis are based on the assumptions that A. The null hypothesis is true B. The observed difference is important c. The null hypothesis is false and should be rejected D. Type l errors are more serious than type ll errors E. None of the abovearrow_forward
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