Nationally, patients who go to the emergency room wait an average of 7 hours to be admitted into thehospital. Do patients at rural hospitals have a different waiting time? The 12 randomly selected patientswho went to the emergency room at rural hospitals waited an average of 5.8 hours to be admitted into thehospital. The standard deviation for these 12 patients was 1.8 hours. What can be concluded at the a =0.10 level of significance level of significance?a. For this study, we should use t-test for a population meanb. The null and alternative hypotheses would be:Ho: μν =H₁: μ♡ #v 7V 7c. The test statistic t = 2.309d. The p-value =e. The p-value is ? af. Based on this, we shouldg. Thus, the final conclusion is that ...V(please show your answer to 3 decimal places.)(Please show your answer to 4 decimal places.)Select an answer the null hypothesis.O The data suggest that the population mean awaiting time to be admitted into the hospitalfrom the emergency room for patients at rural hospitals is not significantly different from 7hours at a = 0.10, so there is statistically insignificant evidence to conclude that thepopulation mean waiting time to be admitted into the hospital from the emergency room forpatients at rural hospitals is different from 7 hours.O The data suggest the populaton mean is significantly different from 7 at a = 0.10, so there isstatistically significant evidence to conclude that the population mean waiting time to beadmitted into the hospital from the emergency room for patients at rural hospitals is differentfrom 7 hours.O The data suggest the population mean is not significantly different from 7 at a = 0.10, sothere is statistically insignificant evidence to conclude that the population mean waiting timeto be admitted into the hospital from the emergency room for patients at rural hospitals isequal to 7 hours. d. The p-value = ||e. The p-value is ? vaf. Based on this, we shouldg. Thus, the final conclusion is that ...(Please show your answer to 4 decimal places.)Select an answer the null hypothesis.O The data suggest that the population mean awaiting time to be admitted into the hospitalfrom the emergency room for patients at rural hospitals is not significantly different from 7hours at a = 0.10, so there is statistically insignificant evidence to conclude that thepopulation mean waiting time to be admitted into the hospital from the emergency room forpatients at rural hospitals is different from 7 hours.O The data suggest the populaton mean is significantly different from 7 at a = 0.10, so there isstatistically significant evidence to conclude that the population mean waiting time to beadmitted into the hospital from the emergency room for patients at rural hospitals is differentfrom 7 hours.O The data suggest the population mean is not significantly different from 7 at a = 0.10, sothere is statistically insignificant evidence to conclude that the population mean waiting timeto be admitted into the hospital from the emergency room for patients at rural hospitals isequal to 7 hours.Hint:Helpful Videos: Calculations [+] Setup [+] Interpretations [+]Submit QuestionQuestion Help: Written Example Message instructor

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Answered: a. For this study, we should use t-test…

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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4. Answer question 3
The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? Họ: H1: What type of test is being conducted in this problem? O Left-tailed test Right-tailed test Two-tailed test What parameter is being tested? Population standard deviation O Population mean O Population proportion
Next question A golf association requires that golf balls have a diameter that is 1.68 inches. To deter hform to the standard, a random sample of golf balls was selected. Their diameters are shown in the accompanying data table. Do the golf balls conform to the standards? Use the x = 0.01 level of significance. Click the icon to view the data table. First determine the appropriate hypotheses. Ho: H₁: (Type integers or decimals. Do not round.) Find the test statistic. (Round to two decimal places as needed.) Find the P-value. (Round to three decimal places as needed.) What can be concluded from the hypothesis test? O A. Reject Ho. There is sufficient evidence to conclude that the golf balls do not conform to the association's standards at the α = 0.01 level of significance. B. Do not reject Ho. There is not sufficient evidence to conclude that the golf balls do not conform to the association's standards at the x = 0.01 level of significance. C. Do not reject Ho. There is sufficient…
We would like to test the hypothesisH0: μ = 20versus the alternative thatHa: μ ≠ 20.From a sample of 30 subjects, we calculate the test statistic to be t = 2.3.The p-value would be 0.0290 .986 29 0.014
I need help with stats, section 7.2 and 7.3, please help with TI-84 calculator commands Test the claim about the population mean, μ, at the given level of significance using the given sample statistics. Claim: μ=40; α=0.01; σ=3.17. Sample statistics: x=38.1, n=72 Identify the null and alternative hypotheses. Write out the correct null and alternative hypotheses. Calculate the standardized test statistic: The standardized test statistic is ________________ (round to 2 decimal places as needed) Determin the critical value(s). Select the correct choice below and fill in the answer box to complete your choice. (round to 2 decimal places as needed) a. the critical value is ______________ b. the critical values are + _ ___________ Determine the outcome and conclusion of the test. Choose the correct answer below. A. fail to reject Ho. AT the 1% significane level, there is not enough evidence to reject the claim. B. fail to reject Ho. At the 1% significance…
ol 106. Use the two scenarios presented in Figure 7.12 to answer the following question about the two sources of variability in ANOVA. 3.5 3.0 2.5 2.0 1.5 (i) HA: P₁ P2 ‡ P3 (iii) HA not all proportions are equal to this po 1.0 Figure 7.12: Within vs Between Variability in ANOVA onnisth Scenario A L (d) Recall that, O 2 H 3 2.05 2.10 2.15 2.20 2.25 2.30 2.35 (ii) Ho: M₁ M₂ = μ3 sans are (iv) HA: not all means are equal 720 qeaoluet alt sot mol 4 mobor 2924 (6) 2 3 4 gob za aim onbala (1) di batt (9) w-qodt fonqtotal bac o2 (6) (Troy ote12. (0) (a) Which scenario provides stronger evidence that the difference in factor level means represents true differences in the population means? Explain why in your own words. Scenario B 1 = stogol 05 O 1 oftaltete fest out of sulav gris I (b) Which scenario exhibits more variability within each factor level? Is this measured by SSError or SSFactor? Agulow (c) Which scenario exhibits more variability between each factor level? Is this measured by…
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The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? Ho: O = 4 H: What type of test is being conducted in this problem? Two-tailed test Left-tailed test O Right-tailed test What parameter is being tested? Population proportion Population standard deviation Population mean O Time Remaining: 01:50:59 Next DEC tv MacBook Pro Search or type URL
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When testing the claim that the population mean is less than 12.8, suppose you get a test statistic of t= -0.92 and a P-value of 0.1818. What should we conclude about the claim? DII O There is sufficient evidence to warrant rejection of the claim. O There is not sufficient evidence to warrant rejection of the claim. O There is sufficient evidence to support the claim. O There is not sufficient evidence to support the claim. Submit Question F3 $ 4 R F4 % 5 T G B F5 6 H N F6 e & 7 U X M 8 PrtScn K 9 Home F9 End F10 Po
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a. For this study, we should use t-test for a population mean b. The null and alternative hypotheses would be: Ho: μν = H₁: # c. The test statistic D v 2.309 7 7 (please show your answer to 3 decimal places.)