(a) State the appropriate null and alternate hypotheses.(b) Compute the P- value.(c) Determine whether to reject H0(d)State a conclusion A recent study examined the effects of carbon monoxide exposure on a group of construction workers. The following table presents the numbers of workers whoreported various symptoms, along with the shift (morning, evening, or night) that they worked.Morning ShiftNight ShiftEvening Shift19141525225181149InfluenzaHeadacheWeaknessShortness of BreathSend data to ExcelTest the hypothesis of independence. Use the a= 0.01 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude?Part: 0 / 4Part 1 of 4State the null and alternate hypotheses.Ho: The shift and reported symptoms (Choose one)H₁: The shift and reported symptoms (Choose one)This hypothesis test is a (Choose one) ▼ test.610independent.independent.X

Hypothesis : H0 : The shift and reported symptoms are independent H1 : The shift and reported symptoms are not independent This hypothesis test is right tailed test. We have to perform chi-square test of independent. We have to use TI-84 Press 2ND ---> X-1 ---> Edit ---> Enter Enter given data in 4 x 3 matrix. Now press 'STAT'----> TESTS ----> Scroll down up to "χ2-Test" Now hit enter , you will see following screen Highlight 'Calculate' and hit enter. Output : We got , chi-square test statistics = 17.43211086 P-value = 0.0078Decision about null hypothesis : Decision rule : 1) Reject null hypothesis (H0) if p-value less than significance level (α ) 2) Otherwise fail to reject null hypothesis (H0) Given significance level = α = 0.01 It is observed that p-value (0.0078) is less than α = 0.01 So, reject the null hypothesis (H0) Conclusion : There is not sufficient evidence to conclude that the shift and reported symptoms are independent

Math

Statistics

A recent study examined the effects of carbon monoxide exposure on a group of construction workers. The following table presents the numbers of workers who reported various symptoms, along with the shift (morning, evening, or night) that they worked. Morning Shift Night Shift Evening Shift 19 14 15 25 22 5 11 6 9 10 Influenza Headache Weakness Shortness of Breath Send data to Excel Test the hypothesis of independence. Use the a= 0.01 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? Part: 0 / 4 18 4 Part 1 of 4 State the null and alternate hypotheses. Ho: The shift and reported symptoms (Choose one) H₁: The shift and reported symptoms (Choose one) This hypothesis test is a (Choose one) ▼ test. independent. independent.

A recent study examined the effects of carbon monoxide exposure on a group of construction workers. The following table presents the numbers of workers who reported various symptoms, along with the shift (morning, evening, or night) that they worked. Morning Shift Night Shift Evening Shift 19 14 15 25 22 5 11 6 9 10 Influenza Headache Weakness Shortness of Breath Send data to Excel Test the hypothesis of independence. Use the a= 0.01 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? Part: 0 / 4 18 4 Part 1 of 4 State the null and alternate hypotheses. Ho: The shift and reported symptoms (Choose one) H₁: The shift and reported symptoms (Choose one) This hypothesis test is a (Choose one) ▼ test. independent. independent.

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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