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Firm_ID Economic_Sector HQ_State Number_of_Employees Annual_Operating_Profit_USD 7037 Oil & Gas TX 244 30605334.96 4867 Agriculture OK 346 42024794.15 5727 Oil & Gas TX 288 38320239.51 3009
Firm_ID | Economic_Sector | HQ_State | Number_of_Employees | Annual_Operating_Profit_USD |
7037 | Oil & Gas | TX | 244 | 30605334.96 |
4867 | Agriculture | OK | 346 | 42024794.15 |
5727 | Oil & Gas | TX | 288 | 38320239.51 |
3009 | Services | OK | 126 | 17093240.51 |
5023 | Agriculture | TX | 534 | 63396346.07 |
9742 | Services | OK | 88 | 16320284.14 |
6625 | Oil & Gas | TX | 503 | 56356310.14 |
9919 | Oil & Gas | OK | 214 | 32866716.76 |
8879 | Manufacturing | TX | 297 | 36808771.1 |
7724 | Services | TX | 489 | 54541399.42 |
1714 | Manufacturing | OK | 295 | 41469609.02 |
4379 | Services | OK | 377 | 44562124.75 |
6302 | Manufacturing | TX | 464 | 50425625 |
9822 | Services | TX | 451 | 53321179.39 |
2525 | Services | OK | 551 | 59308022.56 |
6653 | Services | OK | 102 | 23162658.11 |
9405 | Oil & Gas | OK | 388 | 50719520.83 |
4997 | Services | TX | 498 | 58762056.38 |
4298 | Services | OK | 305 | 42464705.98 |
8787 | Agriculture | OK | 367 | 48734050.82 |
1233 | Agriculture | OK | 138 | 23772050.15 |
6411 | Manufacturing | OK | 498 | 62662442 |
5180 | Oil & Gas | TX | 17 | 16199932.25 |
1540 | Oil & Gas | TX | 51 | 9869880.623 |
1337 | Manufacturing | TX | 521 | 56654298.58 |
5343 | Agriculture | OK | 529 | 57405391.75 |
9144 | Agriculture | TX | 485 | 60965540.32 |
2470 | Agriculture | TX | 72 | 16264378.81 |
2101 | Oil & Gas | TX | 225 | 35300331.05 |
3668 | Manufacturing | TX | 415 | 47990639.48 |
9776 | Manufacturing | OK | 251 | 35530296.38 |
9054 | Manufacturing | OK | 90 | 21888730.45 |
7932 | Manufacturing | OK | 500 | 63450023.51 |
5400 | Manufacturing | OK | 102 | 20591885.14 |
8459 | Manufacturing | OK | 130 | 19896521.45 |
8651 | Oil & Gas | TX | 69 | 17555827.19 |
3860 | Services | OK | 270 | 41704075.56 |
8868 | Oil & Gas | TX | 24 | 16496701.76 |
2231 | Oil & Gas | OK | 22 | 14754548.74 |
3931 | Agriculture | TX | 539 | 67301781.26 |
8003 | Oil & Gas | TX | 157 | 18961551.43 |
2282 | Manufacturing | TX | 269 | 32363704.31 |
8703 | Oil & Gas | TX | 349 | 39500679.01 |
7613 | Services | TX | 422 | 47443095.35 |
6675 | Oil & Gas | TX | 519 | 64955147.54 |
3430 | Services | OK | 389 | 44425132.78 |
9006 | Agriculture | OK | 30 | 9270224.805 |
1145 | Oil & Gas | TX | 181 | 26937351.76 |
3597 | Services | TX | 97 | 20374393.51 |
7842 | Manufacturing | OK | 327 | 36109577.57 |
8860 | Manufacturing | OK | 87 | 23292349.21 |
3462 | Services | TX | 566 | 60387500.53 |
7169 | Manufacturing | OK | 158 | 22293844.05 |
7591 | Services | OK | 373 | 45655991.27 |
2675 | Agriculture | TX | 244 | 38194773.17 |
2651 | Agriculture | OK | 207 | 25869491.7 |
9978 | Services | OK | 369 | 41850628.07 |
4311 | Agriculture | TX | 372 | 48945229.12 |
7081 | Oil & Gas | OK | 457 | 60149117.32 |
4195 | Agriculture | TX | 370 | 45674674.37 |
4689 | Services | TX | 68 | 11833424.02 |
3828 | Oil & Gas | OK | 346 | 46939635.54 |
4883 | Services | OK | 327 | 45365953.58 |
3520 | Agriculture | OK | 39 | 11879538.17 |
1533 | Manufacturing | TX | 167 | 24485753.64 |
3285 | Oil & Gas | OK | 89 | 16250485.38 |
8276 | Oil & Gas | TX | 387 | 42284230.55 |
5142 | Agriculture | TX | 304 | 44783093.24 |
4121 | Oil & Gas | TX | 252 | 37277434.04 |
3975 | Services | OK | 96 | 14745164.28 |
6957 | Agriculture | OK | 494 | 57553551.3 |
2679 | Agriculture | OK | 316 | 35243327.86 |
6563 | Services | TX | 219 | 25502115.66 |
7973 | Oil & Gas | TX | 369 | 51546125.32 |
4831 | Manufacturing | OK | 88 | 17764968.03 |
9562 | Agriculture | TX | 327 | 45972325.59 |
8867 | Oil & Gas | TX | 27 | 13604325.09 |
7973 | Services | TX | 558 | 59026431 |
3550 | Oil & Gas | TX | 513 | 57213725.36 |
8700 | Agriculture | TX | 239 | 30461953.33 |
2406 | Manufacturing | TX | 417 | 50379397.48 |
9418 | Services | TX | 117 | 19913357.67 |
3130 | Services | TX | 420 | 46349907.37 |
7551 | Manufacturing | TX | 59 | 11730001.15 |
2156 | Oil & Gas | OK | 97 | 18515939.75 |
8780 | Agriculture | TX | 491 | 54990379.61 |
9462 | Services | OK | 309 | 40372734.65 |
4198 | Services | TX | 342 | 47118464.79 |
9754 | Agriculture | TX | 563 | 70172222.58 |
3203 | Oil & Gas | OK | 161 | 30294820.26 |
7081 | Services | OK | 260 | 34665392.62 |
6033 | Services | TX | 449 | 58084526.21 |
9653 | Services | TX | 72 | 21825394.34 |
4395 | Oil & Gas | TX | 196 | 22600311.24 |
5341 | Services | TX | 344 | 42520561.52 |
3534 | Agriculture | OK | 459 | 59687424.1 |
4527 | Oil & Gas | OK | 86 | 13233975.64 |
5927 | Manufacturing | TX | 68 | 19953781.7 |
1998 | Agriculture | OK | 509 | 61652304.36 |
2291 | Services | OK | 290 | 37357176.44 |
- You must use Excel for this exercise. Refer to Operating_Profit_Data, uploaded under the Files section on Canvas. Assuming that the data in hand is from a representative sample of medium-size firms in Oklahoma and Texas, use the sample information (as given by Number_of_Employees variable) to estimate the population mean for number of employees. For this, we employ a 95% Confidence Interval Estimation.
- What is the critical value that you used for your estimation?
- Did you obtain that critical value from Normal Distribution or Student's t Distribution? Explain why.
- What is the Excel command that you used to compute the critical value?
- What is the lower limit of your 95% Confidence Interval?
- What is the upper limit of your 95% Confidence Interval?
2. Given your answer to Question No. 1, test for the following hypotheses at 5% level of significance
- H0: Population mean number of employees among medium-size firms in Oklahoma and Texas is equal to 250.
- Do you reject the above hypothesis? Explain why or why not, in a short paragraph
- H0: Population mean number of employees among medium-size firms in Oklahoma and Texas is equal to 300.
- Do you reject the above hypothesis? Explain why or why not, in a short paragraph
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