Question: Refer to Data Set 12 in Appendix B and use the sample amounts of home energy consumption (in kWh) to construct a 99% confidence interval

Refer to Data Set 12 in Appendix B and use the sample amounts of home energy consumption (in kWh) to construct a 99% confidence interval estimate of the standard deviation of all energy consumption amounts.

Data Set 12: Electricity Consumption of a Home All measurements are from

Data Set 12: Electricity Consumption of a Home All measurements are from the author's home. STATDISK: Minitab: Excel: TI-83/84 Plus: Text file names: Time Period Year 1: Jan/Feb Year 1: March/Apr Year 1: May/June Year 1: July/Aug Year 1: Sept/Oct Year 1: Nov/Dec Year 2: Jan/Feb Year 2: March/Apr Year 2: May/June Year 2: July/Aug Year 2: Sept/Oct Year 2: Nov/Dec Year 3: Jan/Feb Year 3: March/Apr Year 3: May/June Year 3: July/Aug Year 3: Sept/Oct Year 3: Nov/Dec Year 4: Jan/Feb Year 4: March/Apr Year 4: May/June Year 4: July/Aug Year 4: Sept/Oct Year 4: Nov/Dec Year 5: Jan/Feb Year 5: March/Apr Year 5: May/June Year 5: July/Aug Year 5: Sept/Oct Year 5: Nov/Dec Year 6: Jan/Feb Year 6: March/Apr Year 6: May/June Year 6: July/Aug Year 6: Sept/Oct Year 6: Nov/Dec Year 7: Jan/Feb Year 7: March/Apr Year 7: May/June Year 7: July/Aug Year 7: Sept/Oct Year 7: Nov/Dec Year 8: Jan/Feb Year 8: March/Apr Year 8: May/June Year 8: July/Aug Year 8: Sept/Oct Year 8: Nov/Dec Data set name is Electric. Worksheet name is ELECTRIC.MTW. Workbook name is ELECTRIC.XLS. App name is ELECTRIC and the file names are the same as for text files. Text file names are KWH, COST, HDD, ADT. Electricity Consumed (kWh) 3637 2888 2359 3704 3432 2446 4463 2482 2762 2288 2423 2483 3375 2661 2073 2579 2858 2296 2812 2433 2266 3128 3286 2749 3427 578 3792 3348 2937 2774 3016 2458 2395 3249 3003 2118 4261 1946 2063 4081 1919 2360 2853 2174 2370 3480 2710 2327 Cost (dollars) 295.33 230.08 213.43 338.16 299.76 214.44 384.13 295.82 255.85 219.72 256.59 276.13 321.94 221.11 205.16 251.07 279.80 183.84 244.93 218.59 213.09 333.49 370.35 222.79 316.18 77.39 385.44 334.72 330.47 237.00 303.78 263.75 207.08 304.83 305.67 197.65 470.02 217.36 217.08 541.01 423.17 256.06 309.40 254.91 290.98 370.74 329.72 229.05 Heating Degree Days 2226 1616 479 19 184 1105 2351 1508 657 35 308 1257 2421 1841 438 15 152 1028 1967 1627 537 26 116 1457 253 1811 632 35 215 1300 2435 1540 395 26 153 1095 2554 1708 569 3 58 1232 2070 1620 542 29 228 1053 Average Daily Temp (F) 29 37 57 74 4667 284468624226748248396 7 41 54 58 33 71

Step by Step Solution

★★★★★

3.51 Rating (164 Votes )

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock

To construct a 99 confidence interval estimate of the standard deviation of all energy consumption a... View full answer

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Elementary Statistics Picturing Questions!

Refer to Data Set 12 in Appendix B and use the ages (years) of the presidents at the times of their inaugurations. Treating the data as a sample, construct a 98% confidence interval estimate of the...

Refer to Data Set 21 in Appendix B and use the weights of the post-1983 pennies to construct a 98% confidence interval estimate of the standard deviation of the weights of all post-1983 pennies.

Exercise 27 Presidential Longevity Refer to Data Set 12 in Appendix B and use the numbers of years that U.S. presidents have lived after their first inauguration.

28. Comparing Regular and Diet Pepsi Refer to Data Set 12 in Appendix B and use the sample data. a. Construct a 95% confidence interval estimate of the mean weight of cola in cans of regular Pepsi....

25. Appendix B Data for Body Mass Index (BMI) Refer to Data Set 1 in Appendix B and use the sample data. a. Construct a 99% confidence interval estimate of the standard deviation of BMIs for men. b....

26. Appendix B Data for Weights of Quarters Refer to Data Set 14 in Appendix B and use the sample data. a. Construct a 99% confidence interval estimate of the standard deviation of weights of...

Body Mass Index Refer to Data Set 1 in Appendix B and use the sample data. a. Construct a 99% confidence interval estimate of the standard deviation of body mass indexes for men. b. Construct a 99%...

Show that the function T: R R2 given by T(x, y) = (-y, r) is a linear transforma- tion.

(a) A random sample of size 144 is taken from the local population of grade- school children. Each child estimates the number of hours per week spent watching TV. At this point, what can be said...

2.13 When Billionaires Made Their First Million (Example 4) From the histogram in Exercise 2.3, approximately what is a typical age of a billionaire in this sample?

3. Is there a potential dark side to marketing baby carrots as junk food? Can marketing encourage people to snack on baby carrots as if they were junk food? Thats what California- based Bolthouse...

In a statistical study, which of the following types of samples is generally best: convenience sample, voluntary response sample, simple random sample, biased sample?

The given expressions are designed to yield results expressed in a form of scientific notation. For example, the displayed result of 1.23E5 can be expressed as 123,000, and the result of 1.23E-4 can...

Use only the first five rows of data listed in Data Set 8 in Appendix B. Complete the following tasks in Excel. a. Create the described worksheet. b. Save the worksheet. c. Print a copy of the...

Show all your work please. I need step by step solutions to solve all parts of the problem and show work. Will provide a positive rating if answer for all parts is provided and work is shown The...

Kian Hoo Packaging Company ( KHP ) uses an injection molding machine that was purchased 2 years ago. This machine is being depreciated on a straight - line basis ( towards zero salvage value ) , and...

Three years ago, you founded Outdoor Recreation, Inc., a retailer specializing in the sale of equipment and clothing for recreational activities such as camping, skiing, and hiking. So far, your...