# Six Sigma Black Belt Certification v6.1 (CSSBB)

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Total 227 questions

This table displays the inventory of fasteners in a storage cabinet. An item is selected at random from the fastener cabinet. Find the approximate probability it is larger than 1/2.

• A. .35
• B. .65
• C. .1106
• D. .47
• E. none of the above

This table displays the inventory of fasteners in a storage cabinet. An item is selected at random from the fastener cabinet. Find the approximate probability it is a 1/2 inch bolt.

• A. .65
• B. .30
• C. .09
• D. .35
• E. none of the above

A medicine with efficacy of .52 is given to five patients. Find the approximate probability that at least one of the patients is cured. (Hint: Use the binomial formula.)

• A. .975
• B. .480
• C. .531
• D. .416
• E. none of the above

= 0.05 A sample of size 50 from machine A has a mean of 18.2 and standard deviation 3.1.
A sample of size 40 from machine B has mean 17.6 and standard deviation 2.8. Do these data indicate that the population for machine A has a larger mean? Assume the populations are normal.

• A. yes
• B. no

= 0.05 In problem 1, do the data indicate that the population for machine A has a larger standard deviation?

• A. yes
• B. no

= 0.05 The average weight of castings produced at the Nebraska foundry is 3.7 lbs. A new supplier from Kansas has submitted a batch of castings known to have normally distributed weights. A random sample of 10 has an average weight of 3.6 lbs. and standard deviation
0.06 lbs. Do these data indicate that the Kansas foundry produce lighter castings on average?

• A. yes
• B. no

= 0.05 A machine tool vender wants to sell an injection molding machine. The current machine produces 3.2% defectives. A sample of 1100 from the vender s machine has
2.9% defective. Do these numbers indicate that the proposed machine has a lower rate of defectives?

• A. yes
• B. no

An engineer wants to try two hardening ovens to see whether they have different hardness scores. She cuts 8 pieces of bar stock in half, putting half of each in oven A and the other half in oven B. The following data are collected: Do the data indicate that the ovens have different average scores? Assume differences are normally distributed.

• A. yes
• B. no

When comparing two vendors machines it is found that a sample of 1000 parts from machine A has 23 defectives and a sample of 1300 parts from machine B has 36 defectives. Do the data indicate that machine B has a higher rate of defectives?

• A. yes
• B. no
• C. all of the above

The Toronto plant produces appliances in the following distribution: Type A 23% Type B
42% Type C 35% A random sample of 300 appliances from the Texas plant has the following distribution: Type A 73 Type B 111 Type C 116 Is the distribution of appliances at the Texas plant the same as that at the Toronto plant?

• A. yes
• B. no

SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
The data for a nine hour period are: Which type of variation dominates? (Hint: Plot the points on the graph above.)

• A. within sample
• B. sample to sample within the hour
• C. hour to hour
• D. none of the above

SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
After some work on the dryer, additional data are collected which when plotted looks like this: Which type of variation dominates?

• A. within sample
• B. sample to sample within the hour
• C. hour to hour
• D. none of the above

SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
After some more work on the dryer, additional data are collected which when plotted looks like this: Which type of variation dominates?

• A. within sample
• B. sample to sample within the hour
• C. hour to hour
• D. none of the above

SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
Find the equation of the regression line for these sample data points: (1, 7) (3, 3) ( 3, 2) (5,
1) • A. y = 10.8 – 2.9x
• B. y = 12.9 + 5.2x
• C. y = 16 – 3.7x
• D. y = 8.75 – 2x
• E. y = 22.6 – 4.8x

SCENARIO A Six Sigma team is measuring the moisture content of corn starch as it leaves the conveyer belt of a dryer. They collect one sample four cups of starch at times indicated in the chart at fixed locations labeled A, B, C, and D across the end of the belt. See the diagram below.
Find the sample linear correlation coefficient and the sample coefficient of determination for the data in problem VI.11.

• A. 0.83, 0.69
• B. 0.49, 0.24
• C. 0.74, 0.55
• D. 0.33, 0.11