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sergij07 [2.7K]
3 years ago
12

A process that is considered to be in control measures an ingredient in ounces. Below are the last 10 samples (each of size n=5)

taken. The population process standard deviation, ? is 1.36.
A process that is considered to be in control meas



If z = 3, what are the control limits for the mean chart? What are the control limits for the range chart? Is the process in control?

Mathematics
1 answer:
horsena [70]3 years ago
3 0

Note: The 10 samples referred to in the question are in the table contained in the file attached.

Answer:

Upper Control Limit for mean chart = 11.62

Lower Control Limit for mean chart = 7.98

Upper Control Limit for range chart = 8.88

Lower Control Limit for range chart = 0

The process is in control

Step-by-step explanation:

Step 1: Calculate the mean \bar{X} and the range R for each of the 10 samples.

The \bar{X} and R of each sample are in each column of the table in the second file attached.

e.g. For sample 1,

\bar{X} = (11+9+9+10+12)/5 = 10.2\\R = highest no. - smallest no. = 12-9 = 3

Step 2: Calculate \bar{R} and \bar{\bar{X}}

\bar{R} = (3+3+6+2+3+5+4+5+6+5)/10 = 4.2\bar{\bar{X}} = (10.2+9.4+9.8+9.6+10.6+10.6+9+9.4+9.4+10)/10 = 9.80Step 3: Calculate Standard Deviation

If z = 3, \sigma_{x} = 1.36, n = 5

Standard deviation of \bar{X}, \sigma_{\bar{x}} = \frac{\sigma_{x} }{\sqrt{n} }

\sigma_{\bar{x}} = \frac{1.36 }{\sqrt{5} } = 0.6082

Step 4: Calculate the Control limits for the mean chart:

Upper Control Limit(UCL)

UCL = \bar{\bar{X}} + z* \sigma_{\bar{x}}\\UCL = 9.8+(3*0.6082) = 11.62

Lower Control Limit (LCL)

LCL = \bar{\bar{X}} + z* \sigma_{\bar{x}}\\LCL = 9.8-(3*0.6082) = 7.98

All the \bar{X} for the 10 samples fall within the LCL and UCL for the mean chart

Step 5: Calculate the Control limits for the range chart:

Upper control limit (UCL)

UCL = \bar{R} *  D_{4}

D_4 = 2.114 for n = 5 (from the control chart constant table)

UCL = 2.114 * 4.2 = 8.88

Lower control limit (LCL)

LCL = \bar{R} * D_3

D_3 = 0 for n = 5 (from the control chart constant table)

LCL = 4.2*0 = 0

All the  for the 10 samples fall within the LCL and UCL for the range chart

Since the average for the 10 samples fall within the LCL and UCL for both the mean and range charts, the process is in control.

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Answer:

Step-by-step explanation:

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but they also have to print a certain, unknown number of tickets at .50 each.  The expression that represents the printing of each ticket is .5x (we can drop the 0; it doesn't change the answer or make it wrong if we drop it off).  So the cost for this affair is the food + the printing.

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Solve this inequality for x.  Begin by subtracting .5 from both sides to get

14.5x > 600 so

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Because we are not selling (or printing) .3 of a ticket, it's safe to say (and also correct!) that they need to sell (and print) 41 tickets.  If they sell 41 tickets, the profit is found by

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This means that at 41 tickets, they make a profit.  At 40 tickets, the inequality looks like this:

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Answer:

0.36427

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P(X = x) = (e^-λ)(λ⁻ˣ)/x!

P(X ≤ x) = Σ (e^-λ)(λ⁻ˣ)/x! (Summation From 0 to x)

But the probability required is that the messages thay come in an hour is between 15 and 20, that is, P(15 < X < 20)

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These probabilities will be evaluated using a cumulative frequency calculator.

P(X < 20) = 0.65092

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P(15 < X < 20) = P(X < 20) - P(X ≤ 15) = 0.65092 - 0.28665 = 0.36427.

You can use the Poisson distribution calculator here

https://stattrek.com/online-calculator/poisson.aspx

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Answer:

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