Comparing Two Resistor VendorsA procurement specialist has purchased 25 resistors from vendor 1 and...

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Comparing Two Resistor VendorsA procurement specialist has purchased 25 resistors from vendor 1 and 35 resistors from vendor 2. Each resistor’s resistance is measured with the following results:Vendor 1						96.8			100.0			100.3			98.5			98.3			98.2							99.6			99.4			99.9			101.1			103.7			97.7							99.7			101.1			97.7			98.6			101.9			101.0							99.4			99.8			99.1			99.6			101.2			98.2							98.6			Vendor 2						106.8			106.8			104.7			104.7			108.0			102.2							103.2			103.7			106.8			105.1			104.0			106.2							102.6			100.3			104.0			107.0			104.3			105.8							104.0			106.3			102.2			102.8			104.2			103.4							104.6			103.5			106.3			109.2			107.2			105.4							106.4			106.8			104.1			107.7			107.7			Questions:	Prepare two simple frequency distribution tables one for each vendor	Calculate the mean for each vendor.	Do the vendors have the same variability?	Comment on the graph of resistor 1	Comment on the graph of resistor 2	Compute the Confidence Interval (CI) for both resistors using an Alpha of 5%. What added information the CI brings? Compare both vendors based on the CI calculations.	Based on the previous calculations: Standard of Deviations, Means, and CI’s, Which vendor would you recommend to the procurement specialist? Substantiate your answers.Comparing Two Resistor Vendors A procurement specialist has purchased 25 resistors from vendor 1 and 35 resistors from vendor 2. Each resistor’s resistance is measured with the following results: Vendor 1 	96.8 	100.0 	100.3 	98.5 	98.3 	98.2 	99.6 	99.4 	99.9 	101.1 	103.7 	97.7 	99.7 	101.1 	97.7 	98.6 	101.9 	101.0 	99.4 	99.8 	99.1 	99.6 	101.2 	98.2 	98.6 	 	 	 	 	 Vendor 2 	106.8 	106.8 	104.7 	104.7 	108.0 	102.2 	103.2 	103.7 	106.8 	105.1 	104.0 	106.2 	102.6 	100.3 	104.0 	107.0 	104.3 	105.8 	104.0 	106.3 	102.2 	102.8 	104.2 	103.4 	104.6 	103.5 	106.3 	109.2 	107.2 	105.4 	106.4 	106.8 	104.1 	107.7 	107.7 	 Questions: 1- Prepare two simple frequency distribution tables one for each vendor 2- Calculate the mean for each vendor. 3- Do the vendors have the same variability?   4- Comment on the graph of resistor 1 5- Comment on the graph of resistor 2 6- Compute the Confidence Interval (CI) for both resistors using an Alpha of 5%.  What added information the CI brings? Compare both vendors based on the CI calculations.   7- Based on the previous calculations: Standard of Deviations, Means, and CI’s, Which vendor would you recommend to the procurement specialist?  Substantiate your answers. 96.8	99.6	99.7	99.4	98.6	100	99.4	101.1	99.8	100.3	99.9	97.7	99.1	98.5	101.1	98.6	99.6	98.3	103.7	101.9	101.2	98.2	97.7	101	98.2	106.8	103.2	102.6	104	104.6	106.4	106.8	103.7	100.3	106.3	103.5	106.8	104.7	106.8	104	102.2	106.3	104.1	104.7	105.1	107	102.8	109.2	107.7	108	104	104.3	104.2	107.2	107.7	102.2	106.2	105.8	103.4	105.4

David · Accepted Answer

Question 1
Frequency distribution for vendor 1: 
Resistance              Frequency 
96.8 1 
97.7 2 
98.2 2 
98.3 1 
98.5 1 
98.6 1 
98.6 1 
99.1 1 
99.4 2 
99.6 2 
99.7 1 
99.8 1 
99.9 1 
100 1 
100.3 1 
101 1 
101.1 2 
101.2 1 
101.9 1 
103.7 1
Frequency distribution for vendor 2: 
Resistance              Frequency 
100.3 1 
102.2 2 
102.6 1 
102.8 1 
103.2 1 
103.4 1 
103.5 1 
103.7 1 
104 3 
104.1 1 
104.2 1 
104.3 1 
104.6 1 
104.7 2 
105.1 1 
105.4 1 
105.8 1 
106.2 1 
106.3 2 
106.4 1 
106.8 4 
107 1 
107.2 1 
107.7 2 
108 1 
109.2 1
Question 2  
Mean for vendor 1 = 2489.4/25 = 99.576 
Mean for vendor 2:  = 3678/35 = 105.0857 
Question 3
We calculate the standard deviation by the following formula:  
σx              -    
2
] 
Variance is square of the standard deviation. 
Variance for vendor 1 = 2.34 
Variance for vendor 2 = 3.

Comparing Two Resistor Vendors A procurement specialist has purchased 25 resistors from vendor 1 and 35 resistors from vendor 2. Each resistor’s resistance is measured with the following results:...

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96.8	100.0	100.3	98.5	98.3	98.2
99.6	99.4	99.9	101.1	103.7	97.7
99.7	101.1	97.7	98.6	101.9	101.0
99.4	99.8	99.1	99.6	101.2	98.2
98.6

106.8	106.8	104.7	104.7	108.0	102.2
103.2	103.7	106.8	105.1	104.0	106.2
102.6	100.3	104.0	107.0	104.3	105.8
104.0	106.3	102.2	102.8	104.2	103.4
104.6	103.5	106.3	109.2	107.2	105.4
106.4	106.8	104.1	107.7	107.7