Brock is interested in determining if 3 different antibiotics have different recovery times. He collected data on 6 patients taking each type of antibiotic (for a total of 18 patients) and ran the test using JMP software (partial results shown in table below). Assuming all conditions are met, conduct the appropriate hypothesis test using a significance level of 0.01. 38. What value belongs in blank space B? a. 2 b. 3 c. 17 d. 18 e. Impossible to Determine 39. What value belongs in blank space E? a. Impossible to Determine b. 647.17 c. 1545.83 d. 43.14 e. 103.06 40. What are the appropriate hypotheses? a. H0: p1 = p2 HA: p1 ≠ p2 b. H0: μAntibiotic 1 = μAntibiotic 2 = μAntibiotic 3 HA: μAntibiotic 1 ≠ μAntibiotic 2 ≠ μAntibiotic 3 c. H0: μd = 0 HA: μd ≠ 0 d. H0: μAntibiotic 1 = μAntibiotic 2 = μAntibiotic 3 HA: At least 1 mean recovery time is different e. H0: μAntibiotic 1 ≠ μAntibiotic 2 ≠ μAntibiotic 3 HA: μAntibiotic 1 = μAntibiotic 2 = μAntibiotic 3 Extracted text: Source DF Sum of Mean Square FRatio Prob >F Squares Antibiotic В 449.33 224.67 5.207 0.0192 Error 15 D E C. Total 1096.50

Brock is interested in determining if 3 different antibiotics have different recovery times. He collected data on 6 patients taking each type of antibiotic (for a total of 18 patients) and ran the...

Brock is interested in determining if 3 different antibiotics have different recovery times. He collected data on 6 patients taking each type of antibiotic (for a total of 18 patients) and ran the test using JMP software (partial results shown in table below). Assuming all conditions are met, conduct the appropriate hypothesis test using a significance level of 0.01.

38. What value belongs in blank space B?

	a.	2
	b.	3
	c.	17
	d.	18
	e.	Impossible to Determine

39. What value belongs in blank space E?

	a.	Impossible to Determine
	b.	647.17
	c.	1545.83
	d.	43.14
	e.	103.06

40. What are the appropriate hypotheses?

	a.	H₀: p₁ = p₂ H_A: p₁ ≠ p₂
	b.	H₀: μ_{Antibiotic 1} = μ_{Antibiotic 2} = μ_{Antibiotic 3} H_A: μ_{Antibiotic 1} ≠ μ_{Antibiotic 2} ≠ μ_{Antibiotic 3}
	c.	H₀: μ_d = 0 H_A: μ_d ≠ 0
	d.	H₀: μ_{Antibiotic 1} = μ_{Antibiotic 2} = μ_{Antibiotic 3} H_A: At least 1 mean recovery time is different
	e.	H₀: μ_{Antibiotic 1} ≠ μ_{Antibiotic 2} ≠ μ_{Antibiotic 3} H_A: μ_{Antibiotic 1} = μ_{Antibiotic 2} = μ_{Antibiotic 3}

Source<br>DF<br>Sum of<br>Mean Square FRatio<br>Prob >F<br>Squares<br>Antibiotic<br>В<br>449.33<br>224.67<br>5.207<br>0.0192<br>Error<br>15 D<br>E<br>C. Total<br>1096.50<br>

Extracted text: Source DF Sum of Mean Square FRatio Prob >F Squares Antibiotic В 449.33 224.67 5.207 0.0192 Error 15 D E C. Total 1096.50

Jun 11, 2022

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Brock is interested in determining if 3 different antibiotics have different recovery times. He collected data on 6 patients taking each type of antibiotic (for a total of 18 patients) and ran the...

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