# need assistance in statistics

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Question description

Answer questions 5 - 7 using the following information:

Samples of size 5 are drawn from 10 separate production runs to measure data on a product average:

 Sample Run 1 2 3 4 5 1 59 74 53 48 65 2 42 51 70 47 67 3 52 42 53 87 85 4 35 70 62 44 79 5 34 59 39 78 61 6 66 80 54 68 52 7 74 43 45 65 49 8 75 53 68 50 31 9 48 65 70 41 52 10 43 38 10 19 47

This data will be mapped using a(n):

 A. attribute control chart. B. range chart C. mean chart. D. percent defective chart.
The lower control limit for the chart is:

 A. 19.64. B. 34.66. C. 50.08. D. 54.56.
A range chart for the data will have upper and lower limits of:

 A. 20.48; 0.00. B. 50.52; 20.48. C. 75.08; 0.00. D. 75.08; -20.04.
An inspector determines that 0.05% of a lot of 400 items are defective. The actual number of defective items is 6. The critical number is 4. This is an example of:

 A. faulty sampling. B. a type II error. C. producer's risk. D. consumer's risk.

The probability that a firm accepts a lot which is 20% defective using a sample size of 14 and an acceptance number of 3 is:

 A. 0.044. B. 0.956. C. 0.842. D. 0.698.

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