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Tamil Nadu Board of Secondary EducationHSC Commerce इयत्ता १२

HSC Commerce इयत्ता १२ - Tamil Nadu Board of Secondary Education Question Bank Solutions for Business Mathematics and Statistics

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Business Mathematics and Statistics
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Define R chart

[9] Applied Statistics
Chapter: [9] Applied Statistics
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What are the uses of statistical quality control?

[9] Applied Statistics
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Write the control limits for the mean chart

[9] Applied Statistics
Chapter: [9] Applied Statistics
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Write the control limits for the R chart

[9] Applied Statistics
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A machine is set to deliver packets of a given weight. Ten samples of size five each were recorded. Below are given relevant data:

Sample number 1 2 3 4 5 6 7 8 9 10
`bar"X"` 15 17 15 18 17 14 18 15 1 16
R 7 7 4 9 8 7 12 4 11 5

Calculate the control limits for mean chart and the range chart and then comment on the state of control, (conversion factors for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)

[9] Applied Statistics
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Ten samples each of size five are drawn at regular intervals from a manufacturing process. The sample means `(bar"X")` and their ranges (R) are given below:

Sample number 1 2 3 4 5 6 7 8 9 10
`bar"X"` 49 45 48 53 39 47 46 39 51 45
R 7 5 7 9 5 8 8 6 7 6

Calculate the control limits in respect of `bar"X"` chart. (Given A2 = 0.58, D3 = 0 and D4 = 2.115) Comment on the state of control

[9] Applied Statistics
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Construct `bar"X"` and R charts for the following data:

Sample Number  Observations 
1 32 36 42
2 28 32 40
3 39 52 28
4 50 42 31
5 42 45 34
6 50 29 21
7 44 52 35
8 22 35 44

(Given for n = 3, A2 = 1.023, D3 = 0 and D4 = 2.574)

[9] Applied Statistics
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The following data show the values of sample mean `(bar"X")` and its range (R) for the samples of size five each. Calculate the values for control limits for mean, range chart and determine whether the process is in control.

Sample Number 1 2 3 4 5 6 7 8 9 10
Mean 11.2 11.8 10.8 11.6 11.0 9.6 10.4 9.6 10.6 10.0
Range 7 4 8 5 7 4 8 4 7 9

(conversion factors for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)

[9] Applied Statistics
Chapter: [9] Applied Statistics
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A quality control inspector has taken ten samples of size four packets each from a potato chips company. The contents of the sample are given below, Calculate the control limits for mean and range chart.

Sample Number Observations
1 2 3 4
1 12.5 12.3 12.6 12.7
2 12.8 12.4 12.4 12.8
3 12.1 12.6 12.5 12.4
4 12.2 12.6 12.5 12.3
5 12.4 12.5 12.5 12.5
6 12.3 12.4 12.6 12.6
7 12.6 12.7 12.5 12.8
8 12.4 12.3 12.6 12.5
9 12.6 12.5 12.3 12.6
10 12.1 12.7 12.5 12.8

(Given for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)

[9] Applied Statistics
Chapter: [9] Applied Statistics
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The following data show the values of sample means and the ranges for ten samples of size 4 each. Construct the control chart for mean and range chart and determine whether the process is in control.

Sample Number 1 2 3 4 5 6 7 8 9 10
`bar"X"` 29 26 37 34 14 45 39 20 34 23
R 39 10 39 17 12 20 05 21 23 15
[9] Applied Statistics
Chapter: [9] Applied Statistics
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In a production process, eight samples of size 4 are collected and their means and ranges are given below. Construct mean chart and range chart with control limits.

Samples number 1 2 3 4 5 6 7 8
`bar"X"` 12 13 11 12 14 13 16 15
R 2 5 4 2 3 2 4 3
[9] Applied Statistics
Chapter: [9] Applied Statistics
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In a certain bottling industry the quality control inspector recorded the weight of each of the 5 bottles selected at random during each hour of four hours in the morning.

Time Weight in ml
8:00 AM 43 41 42 43 41
9:00 AM 40 39 40 39 44
10:00 AM 42 42 43 38 40
11:00 AM 39 43 40 39 42
[9] Applied Statistics
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The quantities that can be numerically measured can be plotted on a

[9] Applied Statistics
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How many causes of variation will affect the quality of a product?

[9] Applied Statistics
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Variations due to natural disorder is known as

[9] Applied Statistics
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The assignable causes can occur due to

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A typical control charts consists of

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`bar"X"` chart is a

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R is calculated using

[9] Applied Statistics
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The upper control limit for `bar"X"` chart is given by

[9] Applied Statistics
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