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Energy Consumption. Exercises 1–5 refer to the amounts of energy consumed in the author’s home. (Most of the data are real, but some are fabricated.) Each value represents energy consumed (kWh) in a two-month period. Let each subgroup consist of the six amounts within the same year. Data are available for download atwww.TriolaStats.com.


Jan.-Feb.

Mar.-April

May-June

July-Aug.

Sept.-Oct.

Nov.-dec.

Year 1

3637

2888

2359

3704

3432

2446

Year 2

4463

2482

2762

2288

2423

2483

Year 3

3375

2661

2073

2579

2858

2296

Year 4

2812

2433

2266

3128

3286

2749

Year 5

3427

578

3792

3348

2937

2774

Year 6

4016

3458

3395

4249

4003

3118

Year 7

5261

2946

3063

5081

2919

3360

Year 8

3853

3174

3370

4480

3710

3327

Energy Consumption: Notation After finding the values of the mean and range for each year, find the values of\(\bar \bar x\)and\(\bar R\). Then find the values of LCL and UCL for an R chart and find the values of LCL and UCL for an\(\bar x\)chart.

Short Answer

Expert verified

The following table shows the mean and range of each of the eight samples:

Sample

Mean

\(\left( {{{\bar x}_i}} \right)\)

Sample

Range

\(\left( {{R_i}} \right)\)

Sample 1

3637

2888

2359

3704

3432

2446

3077.667

1345

Sample 2

4463

2482

2762

2288

2423

2483

2816.833

2175

Sample 3

3375

2661

2073

2579

2858

2296

2640.333

1302

Sample 4

2812

2433

2266

3128

3286

2749

2779

1020

Sample 5

3427

578

3792

3348

2937

2774

2809.333

3214

Sample 6

4016

3458

3395

4249

4003

3118

3706.5

1131

Sample 7

5261

2946

3063

5081

2919

3360

3771.667

2342

Sample 8

3853

3174

3370

4480

3710

3327

3652.333

1306

The value of\(\bar \bar x\)is equal to 3157 kWh.

The value of\(\bar R\)is equal to 1729 kWh.

The values of LCL and UCL for the R chart are 0 kWh and 3465 kWh,respectively.

The values of LCL and UCL for the \(\bar x\) chart are 2322 kWh and 3992 kWh,respectively.

Step by step solution

01

Given information

Data values are given for eight years on the energy consumed (in kWh) in a two-month period.

The sample size for each of the eight years is equal to 6.

02

Step 2:Mean of each sample

Let n denote the sample size of each sample.

Here,\(n = 6\).

The total number of samples is denoted by N.

Here,\(N = 8\).

The mean of sample 1 is computed below:

\(\begin{aligned}{c}{{\bar x}_1} = \frac{{3637 + 2888 + 2359 + 3704 + 3432 + 2446}}{6}\\ = 3077.67\end{aligned}\)

The mean of sample 2 is computed below:

\(\begin{aligned}{c}{{\bar x}_2} = \frac{{4463 + 2482 + 2762 + 2288 + 2423 + 2483}}{6}\\ = 2816.83\end{aligned}\)

The mean of sample 3 is computed below:

\(\begin{aligned}{c}{{\bar x}_3} = \frac{{3375 + 2661 + 2073 + 2579 + 2858 + 2296}}{6}\\ = 2640.33\end{aligned}\)

The mean of sample 4 is computed below:

\(\begin{aligned}{c}{{\bar x}_4} = \frac{{2812 + 2433 + 2266 + 3128 + 3286 + 2749}}{6}\\ = 2779.0\end{aligned}\)

The mean of sample 5 is computed below:

\(\begin{aligned}{c}{{\bar x}_5} = \frac{{3427 + 578 + 3792 + 3348 + 2937 + 2774}}{6}\\ = 2809.33\end{aligned}\)

The mean of sample 6 is computed below:

\(\begin{aligned}{c}{{\bar x}_6} = \frac{{4016 + 3458 + 3395 + 4249 + 4003 + 3118}}{6}\\ = 3706.5\end{aligned}\)

The mean of sample 7 is computed below:

\(\begin{aligned}{c}{{\bar x}_7} = \frac{{5261 + 2946 + 3063 + 5081 + 2919 + 3360}}{6}\\ = 3771.67\end{aligned}\)

The mean of sample 8 is computed below:

\(\begin{aligned}{c}{{\bar x}_8} = \frac{{3853 + 3174 + 3370 + 4480 + 3710 + 3327}}{6}\\ = 3652.33\end{aligned}\)

03

Range of each sample

The range of sample 1 is computed below:

\(\begin{aligned}{c}Rang{e_1} = Ma{x_1} - Mi{n_1}\\ = 3704 - 2359\\ = 1345.0\end{aligned}\)

The range of sample 2 is computed below:

\(\begin{aligned}{c}Rang{e_2} = Ma{x_2} - Mi{n_2}\\ = 4463 - 2288\\ = 2175.0\end{aligned}\)

The range of sample 3 is computed below:

\(\begin{aligned}{c}Rang{e_3} = Ma{x_3} - Mi{n_3}\\ = 3375 - 2073\\ = 1302.0\end{aligned}\)

The range of sample 4 is computed below:

\(\begin{aligned}{c}Rang{e_4} = Ma{x_4} - Mi{n_4}\\ = 3286 - 2266\\ = 1020.0\end{aligned}\)

The range of sample 5 is computed below:

\(\begin{aligned}{c}Rang{e_5} = Ma{x_5} - Mi{n_5}\\ = 3792 - 578\\ = 3214.0\end{aligned}\)

The range of sample 6 is computed below:

\(\begin{aligned}{c}Rang{e_6} = Ma{x_6} - Mi{n_6}\\ = 4249 - 3118\\ = 1131.0\end{aligned}\)

The range of sample 7 is computed below:

\(\begin{aligned}{c}Rang{e_7} = Ma{x_7} - Mi{n_7}\\ = 5261 - 2919\\ = 2342.0\end{aligned}\)

The range of sample 8 is computed below:

\(\begin{aligned}{c}Rang{e_8} = Ma{x_8} - Mi{n_8}\\ = 4480 - 3174\\ = 1306.0\end{aligned}\)

The following table summarizes the sample means and sample ranges:

Sample

Mean

\(\left( {{{\bar x}_i}} \right)\)

Sample

Range

\(\left( {{R_i}} \right)\)

Sample 1

3637

2888

2359

3704

3432

2446

3077.667

1345

Sample 2

4463

2482

2762

2288

2423

2483

2816.833

2175

Sample 3

3375

2661

2073

2579

2858

2296

2640.333

1302

Sample 4

2812

2433

2266

3128

3286

2749

2779

1020

Sample 5

3427

578

3792

3348

2937

2774

2809.333

3214

Sample 6

4016

3458

3395

4249

4003

3118

3706.5

1131

Sample 7

5261

2946

3063

5081

2919

3360

3771.667

2342

Sample 8

3853

3174

3370

4480

3710

3327

3652.333

1306

04

Value of \(\bar \bar x\)

The value of\(\bar \bar x\)is computed below:

\(\begin{aligned}{c}\bar \bar x = \frac{{{{\bar x}_1} + {{\bar x}_2} + {{\bar x}_3} + {{\bar x}_4} + {{\bar x}_5} + {{\bar x}_6} + {{\bar x}_7} + {{\bar x}_8}}}{8}\\ = \frac{{3077.67 + 2816.83 + 2640.33 + 2779 + 2809.33 + 3706.5 + 3771.67 + 3652.33}}{8}\\ = 3156.708\\ \approx 3157\end{aligned}\)

Thus, the value of \(\bar \bar x\) is equal to 3157 kWh.

05

Value of \(\bar R\)

The value of\(\bar R\)is computed below:

\(\begin{aligned}{c}\bar R = \frac{{{R_1} + {R_2} + {R_3} + {R_4} + {R_5} + {R_6} + {R_7} + {R_8}}}{8}\\ = \frac{{1345 + 2175 + 1302 + 1020 + 3214 + 1131 + 2342 + 1306}}{8}\\ = 1729.375\\ \approx 1729\end{aligned}\)

Thus, the value of \(\bar R\) is equal to 1729 kWh

06

Limits of R chart

The lower control limit (LCL) is computed using the given formula:

\(LCL = {D_3}\bar R\)

The value of the constant\({D_3}\)for n equal to 6 is equal to 0.000.

\(\begin{aligned}{c}LCL = {D_3}\bar R\\ = 0.000\left( {1729} \right)\\ = 0\end{aligned}\)

Thus, LCL is equal to 0 kWh.

The upper control limit (UCL) is computed using the given formula:

\(UCL = {D_4}\bar R\)

The value of the constant\({D_4}\)for n = 6 is equal to 2.004.

\(\begin{aligned}{c}UCL = {D_4}\bar R\\ = 2.004\left( {1729} \right)\\ = 3464.916\\ \approx 3465\end{aligned}\)

Thus, UCL is equal to 3465 kWh.

07

Limits of \(\bar x\) chart

The lower control limit (LCL) is computed using the given formula:

\(LCL = \bar \bar x - {A_2}\bar R\)

The value of the constant\({A_2}\)for n equal to 6 is equal to 0.483.

\(\begin{aligned}{c}LCL = \bar \bar x - {A_2}\bar R\\ = 3157 - \left( {0.483} \right)\left( {1729} \right)\\ = 2321.893\\ \approx 2322\end{aligned}\)

Thus, LCL is equal to 2322 kWh.

The upper control limit (UCL) is computed using the given formula:

\(UCL = \bar \bar x + {A_2}\bar R\)

The value of the constant\({A_2}\)for n = 6 is equal to 0.483.

\(\begin{aligned}{c}UCL = \bar \bar x + {A_2}\bar R\\ = 3157 + \left( {0.483} \right)\left( {1729} \right)\\ = 3992.107\\ \approx 3992\end{aligned}\)

Thus, UCL is equal to 3992 kWh.

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Most popular questions from this chapter

Energy Consumption. Exercises 1–5 refer to the amounts of energy consumed in the author’s home. (Most of the data are real, but some are fabricated.) Each value represents energy consumed (kWh) in a two-month period. Let each subgroup consist of the six amounts within the same year. Data are available for download atwww.TriolaStats.com.


Jan.-Feb.

Mar.-April

May-June

July-Aug.

Sept.-Oct.

Nov.-dec.

Year 1

3637

2888

2359

3704

3432

2446

Year 2

4463

2482

2762

2288

2423

2483

Year 3

3375

2661

2073

2579

2858

2296

Year 4

2812

2433

2266

3128

3286

2749

Year 5

3427

578

3792

3348

2937

2774

Year 6

4016

3458

3395

4249

4003

3118

Year 7

4016

3458

3395

4249

4003

3118

Year 8

4016

3458

3395

4249

4003

3118

Energy Consumption: R Chart Let each subgroup consist of the 6 values within a year. Construct an R chart and determine whether the process variation is within statistical control. If it is not, identify which of the three out-of-control criteria lead to rejection of statistically stable variation

Control Charts for p. In Exercises 5–12, use the given process data to construct a control chart for p. In each case, use the three out-of-control criteria listed near the beginning of this section and determine whether the process is within statistical control. If it is not, identify which of the three out-of-control criteria apply

Euro Coins Repeat Exercise 5, assuming that the size of each batch is 100 instead of 10,000. Compare the control chart to the one found for Exercise 5. Comment on the general quality of the manufacturing process described in Exercise 5 compared to the manufacturing process described in this exercise.

Defective Child Restraint Systems The Tracolyte Manufacturing Company produces plastic frames used for child booster seats in cars. During each week of production, 120 frames are selected and tested for conformance to all regulations by the Department of Transportation. Frames are considered defective if they do not meet all requirements. Listed below are the numbers of defective frames among the 120 that are tested each week. Use a control chart for p to verify that the process is within statistical control. If it is not in control, explain why it is not.

3 2 4 6 5 9 7 10 12 15

Euro Coins After constructing a control chart for the proportions of defective one-euro coins, it is concluded that the process is within statistical control. Does it follow that almost all of the coins meet the desired specifications? Explain.

Examine the following p-chart for defective calculator batteries and briefly describe the action that should be taken.a

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