Questions
For the following function x                 1                      1

For the following function

x                 1                      1                   2                      4

y                  3                      4                   5                      6          

fXY(x,y)      3/7                    1/7                2/7                   1/7    

  1. Determine the covariance and the correlation

b) Are X and Y independent? Explain why or why not.

In: Statistics and Probability

Solve the follwing game theory matrix, Find the optimal strategies for both players a b c...

Solve the follwing game theory matrix,

Find the optimal strategies for both players

a b c
A -4 2 3
B -1 0 4
C 2 -1 -3

In: Math

Use the Manufacturing database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression...

Use the Manufacturing database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict Cost of Materials by Number of Employees, New Capital Expenditures, Value Added by Manufacture, and End-of-Year Inventories.

Locate the observed value that is in Industrial Group 12 and has 7 employees. Based on the model and the multiple regression output, what is the corresponding residual of this observation? Write your answer as a number, round to 2 decimal places.

**Answer should be 542.83, I just need to know how**

SIC Code No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp.
201 433 370 23518 78713 4 1833 3630 1
202 131 83 15724 42774 4 1056 3157 1
203 204 169 24506 27222 4 1405 8732 1
204 100 70 21667 37040 4 1912 3407 1
205 220 137 20712 12030 4 1006 1155 1
206 89 69 12640 13674 3 873 3613 1
207 26 18 4258 19130 3 487 1946 1
208 143 72 35210 33521 4 2011 7199 1
209 171 126 20548 19612 4 1135 3135 1
211 21 15 23442 5557 3 605 5506 2
212 3 2 287 163 1 2 42 2
213 2 2 1508 314 1 15 155 2
214 6 4 624 2622 1 27 554 2
221 52 47 2471 4219 2 292 929 3
222 74 63 4307 5357 2 454 1427 3
223 13 12 673 1061 1 20 325 3
224 17 13 817 707 1 84 267 3
225 169 147 8986 10421 3 534 2083 3
226 51 41 3145 4140 2 220 697 3
227 55 44 4076 7125 2 176 1446 3
228 84 76 3806 8994 2 423 1014 3
229 61 47 4276 5504 2 464 1291 3
231 27 22 1239 716 1 22 356 4
232 200 178 9423 8926 3 200 2314 4
233 294 250 11045 11121 3 189 2727 4
234 38 32 1916 2283 1 29 682 4
235 17 14 599 364 1 21 197 4
236 34 28 2063 1813 1 20 450 4
237 1 1 34 71 1 2 17 4
238 31 25 1445 1321 1 16 526 4
239 224 179 10603 12376 3 465 2747 4
241 83 68 5775 9661 3 539 578 5
242 172 147 10404 19285 4 1071 3979 5
243 257 209 13274 18632 4 711 3329 5
244 51 43 1909 2170 1 88 355 5
245 82 68 4606 7290 2 182 580 5
249 94 78 5518 8135 2 715 1604 5
251 273 233 12464 12980 3 481 3535 6
252 70 53 5447 4011 2 358 829 6
253 37 29 2290 5101 2 128 447 6
254 81 61 4182 3755 2 177 956 6
259 54 39 2818 2694 2 109 718 6
261 15 11 2201 3279 2 698 725 7
262 116 90 18848 20596 4 3143 4257 7
263 55 42 9655 10604 3 2360 1502 7
265 212 163 15668 24634 4 1352 3976 7
267 232 182 25918 28963 4 1750 5427 7
271 403 136 30692 8483 4 1277 894 8
272 121 16 17982 6940 3 311 1216 8
273 136 57 17857 8863 3 618 3736 8
274 69 25 9699 2823 2 144 874 8
275 604 437 38407 29572 4 2959 4300 8
276 41 28 3878 3811 2 198 688 8
277 21 12 3989 1047 2 66 577 8
278 65 50 4388 2055 2 130 504 8
279 55 39 4055 1098 2 210 236 8
281 80 45 16567 11298 3 2002 2644 9
282 115 79 25025 34596 4 3731 6192 9
283 213 106 59813 27187 4 4301 11533 9
284 126 75 31801 19932 4 1304 4535 9
285 51 28 8497 9849 3 404 2178 9
286 126 75 28886 46935 4 6269 8577 9
287 37 24 12277 11130 3 1025 2354 9
289 76 45 11547 13085 3 1006 2749 9
291 67 43 26006 132880 4 5197 10718 10
295 25 18 3464 6182 2 251 658 10
299 14 8 2187 4446 2 124 670 10
301 65 54 7079 7091 3 579 1067 11
302 8 7 442 496 1 9 175 11
305 61 46 4528 3805 2 341 1057 11
306 122 95 7275 7195 3 435 1411 11
308 763 598 55621 57264 4 5658 11874 11
311 15 12 1313 1865 1 52 404 12
313 3 2 162 163 1 1 35 12
314 37 31 1907 1682 1 35 716 12
315 2 2 53 85 1 12 62 12
316 6 4 747 395 1 18 199 12
317 8 7 328 255 1 6 75 12
319 7 6 233 177 1 4 40 12
321 12 9 1717 943 1 248 282 13
322 60 51 6532 3527 2 853 1505 13
323 64 50 4850 4254 2 493 883 13
324 17 13 3509 2282 2 495 828 13
325 31 25 2176 1387 1 201 700 13
326 45 36 2696 1183 1 154 600 13
327 205 152 15739 17010 4 1200 1966 13
328 17 13 999 565 1 50 263 13
329 72 53 7838 5432 2 464 1652 13
331 221 174 29180 45696 4 3433 12198 14
332 128 106 9061 6913 3 651 1543 14
333 35 26 4200 11184 3 635 1834 14
334 15 11 1410 5735 2 90 694 14
335 162 123 16670 31892 4 1761 6377 14
336 94 79 5856 4696 2 459 938 14
339 32 23 3164 2790 2 271 800 14
341 33 27 3999 9364 2 526 1453 15
342 140 107 11750 8720 3 620 3124 15
343 45 32 4412 3527 2 178 1121 15
344 432 315 27974 31527 4 1139 7204 15
345 104 81 6936 4909 2 421 1768 15
346 259 211 19880 21531 4 1908 3997 15
347 129 99 7793 6232 3 724 1181 15
348 40 24 3528 1689 2 85 1077 15
349 300 219 21718 19273 4 1273 6460 15
351 79 55 10513 12954 3 678 3679 16
352 94 70 9545 11858 3 414 3339 16
353 205 133 18178 23474 4 889 7344 16
354 295 211 22673 14343 4 1485 6730 16
355 192 110 19221 16515 4 1334 6823 16
356 265 172 23110 18543 4 1260 7898 16
357 259 96 41135 60857 4 2917 10277 16
358 201 147 17521 21819 4 907 4857 16
359 392 293 25322 13897 4 1568 4964 16
361 74 51 6700 5523 2 308 1495 17
362 171 120 14278 12657 3 784 3887 17
363 108 87 9466 12578 3 721 2299 17
364 157 117 13428 11065 3 671 3076 17
365 49 37 3459 7621 2 485 1070 17
366 258 120 38705 29591 4 2268 9467 17
367 588 368 84059 44486 4 14345 13145 17
369 151 106 13920 13398 3 1286 3514 17
371 772 634 105899 223639 4 10264 15852 18
372 377 190 45220 42367 4 2023 36814 18
373 141 108 7903 7760 3 351 2165 18
374 31 23 2590 4363 2 97 1233 18
375 18 14 1435 1674 1 131 412 18
376 81 29 9986 8120 3 490 4770 18
379 47 35 3564 5476 2 142 1102 18
381 186 68 21071 8760 4 1223 6183 19
382 272 141 29028 18028 4 1466 7681 19
384 268 157 31051 16787 4 1648 7761 19
385 27 17 2390 1020 1 197 426 19
386 61 36 14032 8114 3 724 2290 19
387 6 4 415 382 1 17 177 19
391 43 30 2761 3646 2 119 1451 20
393 13 10 685 506 1 15 328 20
394 103 76 8327 6604 3 396 2608 20
395 35 26 2643 1789 1 197 799 20
396 24 19 1406 997 1 51 415 20
399 179 123 11199 8530 3 595 2861 20

In: Statistics and Probability

Use Excel to develop a multiple regression model to predict Cost of Materials by Number of...

Use Excel to develop a multiple regression model to predict Cost of Materials by Number of Employees, New Capital Expenditures, Value Added by Manufacture, and End-of-Year Inventories.

Locate the observed value that is in Industrial Group 12 and has 7 employees. Based on the model and the multiple regression output, what is the corresponding residual of this observation? Write your answer as a number, round to 2 decimal places.

SIC Code No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp.
201 433 370 23518 78713 4 1833 3630 1
202 131 83 15724 42774 4 1056 3157 1
203 204 169 24506 27222 4 1405 8732 1
204 100 70 21667 37040 4 1912 3407 1
205 220 137 20712 12030 4 1006 1155 1
206 89 69 12640 13674 3 873 3613 1
207 26 18 4258 19130 3 487 1946 1
208 143 72 35210 33521 4 2011 7199 1
209 171 126 20548 19612 4 1135 3135 1
211 21 15 23442 5557 3 605 5506 2
212 3 2 287 163 1 2 42 2
213 2 2 1508 314 1 15 155 2
214 6 4 624 2622 1 27 554 2
221 52 47 2471 4219 2 292 929 3
222 74 63 4307 5357 2 454 1427 3
223 13 12 673 1061 1 20 325 3
224 17 13 817 707 1 84 267 3
225 169 147 8986 10421 3 534 2083 3
226 51 41 3145 4140 2 220 697 3
227 55 44 4076 7125 2 176 1446 3
228 84 76 3806 8994 2 423 1014 3
229 61 47 4276 5504 2 464 1291 3
231 27 22 1239 716 1 22 356 4
232 200 178 9423 8926 3 200 2314 4
233 294 250 11045 11121 3 189 2727 4
234 38 32 1916 2283 1 29 682 4
235 17 14 599 364 1 21 197 4
236 34 28 2063 1813 1 20 450 4
237 1 1 34 71 1 2 17 4
238 31 25 1445 1321 1 16 526 4
239 224 179 10603 12376 3 465 2747 4
241 83 68 5775 9661 3 539 578 5
242 172 147 10404 19285 4 1071 3979 5
243 257 209 13274 18632 4 711 3329 5
244 51 43 1909 2170 1 88 355 5
245 82 68 4606 7290 2 182 580 5
249 94 78 5518 8135 2 715 1604 5
251 273 233 12464 12980 3 481 3535 6
252 70 53 5447 4011 2 358 829 6
253 37 29 2290 5101 2 128 447 6
254 81 61 4182 3755 2 177 956 6
259 54 39 2818 2694 2 109 718 6
261 15 11 2201 3279 2 698 725 7
262 116 90 18848 20596 4 3143 4257 7
263 55 42 9655 10604 3 2360 1502 7
265 212 163 15668 24634 4 1352 3976 7
267 232 182 25918 28963 4 1750 5427 7
271 403 136 30692 8483 4 1277 894 8
272 121 16 17982 6940 3 311 1216 8
273 136 57 17857 8863 3 618 3736 8
274 69 25 9699 2823 2 144 874 8
275 604 437 38407 29572 4 2959 4300 8
276 41 28 3878 3811 2 198 688 8
277 21 12 3989 1047 2 66 577 8
278 65 50 4388 2055 2 130 504 8
279 55 39 4055 1098 2 210 236 8
281 80 45 16567 11298 3 2002 2644 9
282 115 79 25025 34596 4 3731 6192 9
283 213 106 59813 27187 4 4301 11533 9
284 126 75 31801 19932 4 1304 4535 9
285 51 28 8497 9849 3 404 2178 9
286 126 75 28886 46935 4 6269 8577 9
287 37 24 12277 11130 3 1025 2354 9
289 76 45 11547 13085 3 1006 2749 9
291 67 43 26006 132880 4 5197 10718 10
295 25 18 3464 6182 2 251 658 10
299 14 8 2187 4446 2 124 670 10
301 65 54 7079 7091 3 579 1067 11
302 8 7 442 496 1 9 175 11
305 61 46 4528 3805 2 341 1057 11
306 122 95 7275 7195 3 435 1411 11
308 763 598 55621 57264 4 5658 11874 11
311 15 12 1313 1865 1 52 404 12
313 3 2 162 163 1 1 35 12
314 37 31 1907 1682 1 35 716 12
315 2 2 53 85 1 12 62 12
316 6 4 747 395 1 18 199 12
317 8 7 328 255 1 6 75 12
319 7 6 233 177 1 4 40 12
321 12 9 1717 943 1 248 282 13
322 60 51 6532 3527 2 853 1505 13
323 64 50 4850 4254 2 493 883 13
324 17 13 3509 2282 2 495 828 13
325 31 25 2176 1387 1 201 700 13
326 45 36 2696 1183 1 154 600 13
327 205 152 15739 17010 4 1200 1966 13
328 17 13 999 565 1 50 263 13
329 72 53 7838 5432 2 464 1652 13
331 221 174 29180 45696 4 3433 12198 14
332 128 106 9061 6913 3 651 1543 14
333 35 26 4200 11184 3 635 1834 14
334 15 11 1410 5735 2 90 694 14
335 162 123 16670 31892 4 1761 6377 14
336 94 79 5856 4696 2 459 938 14
339 32 23 3164 2790 2 271 800 14
341 33 27 3999 9364 2 526 1453 15
342 140 107 11750 8720 3 620 3124 15
343 45 32 4412 3527 2 178 1121 15
344 432 315 27974 31527 4 1139 7204 15
345 104 81 6936 4909 2 421 1768 15
346 259 211 19880 21531 4 1908 3997 15
347 129 99 7793 6232 3 724 1181 15
348 40 24 3528 1689 2 85 1077 15
349 300 219 21718 19273 4 1273 6460 15
351 79 55 10513 12954 3 678 3679 16
352 94 70 9545 11858 3 414 3339 16
353 205 133 18178 23474 4 889 7344 16
354 295 211 22673 14343 4 1485 6730 16
355 192 110 19221 16515 4 1334 6823 16
356 265 172 23110 18543 4 1260 7898 16
357 259 96 41135 60857 4 2917 10277 16
358 201 147 17521 21819 4 907 4857 16
359 392 293 25322 13897 4 1568 4964 16
361 74 51 6700 5523 2 308 1495 17
362 171 120 14278 12657 3 784 3887 17
363 108 87 9466 12578 3 721 2299 17
364 157 117 13428 11065 3 671 3076 17
365 49 37 3459 7621 2 485 1070 17
366 258 120 38705 29591 4 2268 9467 17
367 588 368 84059 44486 4 14345 13145 17
369 151 106 13920 13398 3 1286 3514 17
371 772 634 105899 223639 4 10264 15852 18
372 377 190 45220 42367 4 2023 36814 18
373 141 108 7903 7760 3 351 2165 18
374 31 23 2590 4363 2 97 1233 18
375 18 14 1435 1674 1 131 412 18
376 81 29 9986 8120 3 490 4770 18
379 47 35 3564 5476 2 142 1102 18
381 186 68 21071 8760 4 1223 6183 19
382 272 141 29028 18028 4 1466 7681 19
384 268 157 31051 16787 4 1648 7761 19
385 27 17 2390 1020 1 197 426 19
386 61 36 14032 8114 3 724 2290 19
387 6 4 415 382 1 17 177 19
391 43 30 2761 3646 2 119 1451 20
393 13 10 685 506 1 15 328 20
394 103 76 8327 6604 3 396 2608 20
395 35 26 2643 1789 1 197 799 20
396 24 19 1406 997 1 51 415 20
399 179 123 11199 8530 3 595 2861 20

In: Math

Consider the following time series: Quarter Year 1 Year 2 Year 3 1 69 66 60...

Consider the following time series:

Quarter Year 1 Year 2 Year 3
1 69 66 60
2 45 37 47
3 55 57 50
4 83 86 77
(a) Choose a time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Graph (i)Graph (ii)Graph (iii)Graph (iv)Item 1
What type of pattern exists in the data? Is there an indication of a seasonal pattern?
- Select your answer -Positive trend pattern, no seasonalityHorizontal pattern, no seasonalityNegative trend pattern, no seasonalityPositive trend pattern, with seasonalityHorizontal pattern, with seasonalityItem 2
(b) Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)
ŷ =   +   Qtr1 +   Qtr2 +   Qtr3
(c) Compute the quarterly forecasts for next year.
Year Quarter Ft
4 1
4 2
4 3
4 4

In: Statistics and Probability

1. If a taxpayer has gains and losses from an activity, are they better off classifying...

1. If a taxpayer has gains and losses from an activity, are they better off classifying the activity as a hobby or as a business? Explain why.

Mr. D works full-time as a systems analyst for a consulting firm. In addition, he sells plants that he raises himself in a greenhouse attached to his residence. During the past 5 years, the results from raising and selling the plants have been as follows: Year Net Profit (Loss) from Scenario 1:

Scenario 1

Year 1

        (2,000)

Year 2

        (1,200)

Year 3

         1,000

Year 4

         2,500

Total Years 1-4

            300

Year 5

           (500)

2. Please create a scenario (Scenario 2) where the cumulative profits in years 1-4 are still $300 but the taxpayer would be in a better position regarding year 5 losses.

Scenario 1

Scenario 2

Year 1

        (2,000)

Year 2

        (1,200)

Year 3

         1,000

Year 4

         2,500

Total Years 1-4

            300

            300

Year 5

           (500)

           (500)

3. Comment on your answer to 2 above. Why is Scenario 2 better for the taxpayer? You may also show your erudition by citing, referencing, and attaching additional sources

In: Accounting

Suppose that Danielle, an avid gardener, would like to determine whether singing to her plants could...

Suppose that Danielle, an avid gardener, would like to determine whether singing to her plants could help them grow taller.

She randomly assigned four jade plants to one of two groups, singing or no singing, and used the total height for each plant (in inches) after six weeks to determine plant growth.

Singing 33.2 (Plant 1) 33.6 (Plant 2)
No singing 33.0 (Plant 3) 33.3 (Plant 4)

There are six possible ways the four plants can be assigned to the two groups, with both groups having size ?=2.

Singing No singing
Plant Plant Mean Plant Plant Mean Difference
Plant 1 Plant 2 33.4 Plant 3 Plant 4 33.15 0.25
Plant 1 Plant 3 33.1 Plant 2 Plant 4 33.45 −0.35
Plant 1 Plant 4 33.25 Plant 2 Plant 3 33.3 −0.05
Plant 2 Plant 3 33.3 Plant 1 Plant 4 33.25 0.05
Plant 2 Plant 4 33.45 Plant 1 Plant 3 33.1 0.35
Plant 3 Plant 4 33.15 Plant 1 Plant 2 33.4 −0.25

In ascending order, the mean differences are: −0.35, −0.25, −0.05, 0.05, 0.25, and 0.35.

With a null hypothesis of no difference, the two‑sided alternative hypothesis is that the mean plant height is different for the two groups, singing and no singing.

Carry out a permutation test of the hypotheses. Compute the ?-value. Round your answer to three decimal places.

?-value =

In: Statistics and Probability

1. For each matrix A below compute the characteristic polynomial χA(t) and do a direct matrix...

1. For each matrix A below compute the characteristic polynomial χA(t) and do a direct matrix computation to verify that χA(A) = 0.

(4 3

-1 1)    (2 1 -1 0 3 0 0 -1 2) (3*3 matrix)

2.  For each 3*3 matrix and each eigenvalue below construct a basis for the eigenspace Eλ.

A= (9 42 -30 -4 -25 20 -4 -28 23),λ = 1,3
A= (2 -27 18 0 -7 6 0 -9 8) , λ = −1,2

3. Construct a 2×2 matrix with eigenvectors(4 3) and (−3 −2) with eigen-values 2 and −3, respectively.

4. Let A be the 6*6 diagonal matrix below. For each eigenvalue, compute the multiplicity of λ as a root of the characteristic polynomial and compare it to the dimension of the eigenspace Eλ.

(x 0 0 0 0 0 0 x 0 0 0 0 0 0 y 0 0 0 0 0 0 x 0 0 0 0 0 0 z 0 0 0 0 0 0 x)

5.   Let A be an 3*3 upper triangular matrix with all diagonal elements equal, such as (3 4 -2 0 3 12 0 0 3)

Prove that A is diagonalizable if and only if A is a scalar times the identity matrix.

In: Advanced Math

Assume you have $10mio in investor capital. Show the growth of this capital since the start...

Assume you have $10mio in investor capital. Show the growth of this capital since the start of 2018 assuming you were continuously engaging in a simple arbitrage strategy where you buy the low-priced asset and sell the high-priced asset. Be sure incorporate all the real-world frictions that would arise if you were implementing the arbitrage such as interest rates, storage, insurance, transportation costs, natural disasters, theft, fraud, etc.

Formula 1: F0=S0e(r-q)

where r represents the interest rate, q represents the cash flow yield earned from holding the asset (i.e. dividends), and T is time in years

Formula 2: F0=S0e(r-rb)T

where rb represents the interest rate of the base currency as quoted and r represents the interest rate of the second currency, all continuous compounding.

formula 3: F0=S0e(r+u-y)T

where r represents the interest rate,u represents the storage and/or insurance costs expressed in constant proportion, and y represents the convenience yield

NOTE: THERE IS NO DATA OF R, RB, U, Q AND Y and all are based on assumptions.

1. Describe the forwards/futures pricing model that is appropriate for the asset you select. This could be formulas 1, 2, or 3 above or some variation of these. Hint: Since this market is new, there is no model or approach that is best. I am looking for your intuition.

2. Clearly outline the arbitrage strategy, and show the payoffs for one sample trade. State how large your trades will be, being mindful of the practical limit (i.e. you only have $10mio in capital).

3. Track the growth of your $10mio in the capital since the start of 2018 assuming you were continuously engaging in the strategy. Show your returns by month and for the entire period ending in June.

Start Date 12/31/17
End Date
Spot 3-month futures
XBTUSD Curncy Bid Price Ask Price XBT3 Curncy Bid Price Ask Price
Dates PX_BID PX_ASK Dates PX_BID PX_ASK
1/1/18 13623.3887 13625.7402 1/1/18 14550 14690
1/2/18 14783.1543 14786.0449 1/2/18 14700 15300
1/3/18 15054.3164 15056.1445 1/3/18 14800 15300
1/4/18 14944.75 14947.9492 1/4/18 14700 15220
1/5/18 16751.3262 16755.1406 1/5/18 16830 16890
1/8/18 14933.7012 14937.6855 1/8/18 14760 15240
1/9/18 14546.125 14562.0254 1/9/18 14750 15000
1/10/18 14493.0352 14496.4492 1/10/18 14260 14750
1/11/18 13459.4219 13466.5313 1/11/18 13250 13750
1/12/18 13745.1719 13747.9902 1/12/18 13770 13850
1/15/18 13915.6504 13917.9922 1/15/18 13770 13850
1/16/18 10719.9922 10720 1/16/18 11000 12420
1/17/18 11372.4805 11380.8906 1/17/18 10610 11330
1/18/18 11605 11606 1/18/18 10610 11330
1/19/18 11350 11383.2109 1/19/18 10610 11330
1/22/18 10350 10358 1/22/18 10610 11330
1/23/18 10981.0391 10981.0508 1/23/18 10610 11330
1/24/18 11211.7344 11214.9961 1/24/18 11270 11400
1/25/18 11250.6094 11262.4375 1/25/18 2010 11250
1/26/18 10872.1602 10877.416 1/26/18 10970 11050
1/29/18 11200.0078 11213.9805 1/29/18 11010 13790
1/30/18 10082.0039 10091.5898 1/30/18 9760 10490
1/31/18 9962.3066 9962.3145 1/31/18 10010 10140
2/1/18 9089.4492 9098.957 2/1/18 20 9170
2/2/18 8569.9922 8570 2/2/18 8480 8600
2/5/18 7092.8906 7108.8516 2/5/18 6520 8990
2/6/18 7762.2969 7766.8984 2/6/18 6930 8360
2/7/18 8082.3594 8092.6582 2/7/18 7760 9590
2/8/18 8165.5 8176.8711 2/8/18 7800 8740
2/9/18 8546.0977 8559.1992 2/9/18 8640 8700
2/12/18 8823.5 8839 2/12/18 8610 9590
2/13/18 8556.4414 8559.3711 2/13/18 8510 9590
2/14/18 9285.4414 9290.4805 2/14/18 8820 9590
2/15/18 9865.9023 9881 2/15/18 8550 11990
2/16/18 10082.3984 10094 2/16/18 10200 10240
2/19/18 11077.6406 11085.1719 2/19/18 10200 10240
2/20/18 11700.8086 11710.6406 2/20/18 11760 11950
2/21/18 10282.5898 10291.0977 2/21/18 9060 13540
2/22/18 9915.6797 9915.6914 2/22/18 9810 13540
2/23/18 9920 9920.0117 2/23/18 9810 13540
2/26/18 10375.1719 10385.4297 2/26/18 8550 13540
2/27/18 10744.5977 10767.1992 2/27/18 10730 11220
2/28/18 10533.0391 10543 2/28/18 10410 12040
3/1/18 10927.2969 10940.1992 3/1/18 10400 11310
3/2/18 11025.9922 11033.8984 3/2/18 10400 11310
3/5/18 11555.9805 11555.9922 3/5/18 11400 11900
3/6/18 10787.6992 10793 3/6/18 10520 13550
3/7/18 9936.8086 9942.2422 3/7/18 9570 10800
3/8/18 9327.2617 9333.1992 3/8/18 9060 10300
3/9/18 9004.832 9004.8398 3/9/18 9060 10300
3/12/18 9014.0703 9021.2305 3/12/18 8750 10300
3/13/18 9060.3281 9065.5195 3/13/18 8750 10100
3/14/18 8300 8308.6367 3/14/18 8190 8710
3/15/18 8250.0078 8253.4102 3/15/18 7900 9200
3/16/18 8520.3809 8527.9609 3/16/18 7900 9200
3/19/18 8424.2559 8430.1367 3/19/18 8000 8900
3/20/18 8912.625 8928.0254 3/20/18 8150 9200
3/21/18 8894.2441 8896.9336 3/21/18 8800 9280
3/22/18 8597.5 8600.1914 3/22/18 8110 9280
3/23/18 8611 8621.5 3/23/18 8110 9280
3/26/18 7887.3906 7890.2891 3/26/18 7800 9280
3/27/18 7990.4902 7991.2461 3/27/18 7700 9000
3/28/18 7898.9492 7914.9766 3/28/18 7700 9000
3/29/18 7097.0059 7099.2637 3/29/18 7700 9000
3/30/18 6848.5449 6856.4707 3/30/18 7700 9000
4/2/18 6936.8398 6937.9199 4/2/18 6900 8000
4/3/18 7401 7401.8047 4/3/18 7200 7670
4/4/18 6830.0137 6831.4961 4/4/18 6620 7670
4/5/18 6749.5 6749.6016 4/5/18 6100 7300
4/6/18 6601.8184 6607.1445 4/6/18 6100 7300
4/9/18 6660.4414 6663.834 4/9/18 6600 7300
4/10/18 6838.4746 6840.7598 4/10/18 6600 7200
4/11/18 6889.9453 6892.1152 4/11/18 6830 7200
4/12/18 7730.4453 7730.5 4/12/18 7480 8000
4/13/18 7900.4395 7907.3711 4/13/18 7480 8000
4/16/18 7984.2988 7987.8105 4/16/18 7800 8250
4/17/18 7913.9082 7915.4844 4/17/18 7800 8270
4/18/18 8185.7383 8189.3203 4/18/18 8010 8250
4/19/18 8233.8008 8233.9023 4/19/18 7800 9880
4/20/18 8522.9805 8526.0586 4/20/18 7800 9880
4/23/18 8931.375 8933.1152 4/23/18 7800 9880
4/24/18 9448.5703 9451.1934 4/24/18 9320 9880
4/25/18 9070.1797 9076.1992 4/25/18 8760 9500
4/26/18 9118.9297 9118.9941 4/26/18 8650 9480
4/27/18 8975.9434 8978.1992 4/27/18 8650 9480
4/30/18 9272.3906 9273 4/30/18 9260 9880
5/1/18 9015.3652 9016.0996 5/1/18 8880 9880
5/2/18 9175.5273 9176 5/2/18 8880 9880
5/3/18 9647.3086 9656.7656 5/3/18 9280 9880
5/4/18 9682.3086 9684.7617 5/4/18 9280 9880
5/7/18 9436.2578 9438.9883 5/7/18 9250 10980
5/8/18 9160.75 9161.1953 5/8/18 9020 9700
5/9/18 9245.5449 9250.8398 5/9/18 9100 9700
5/10/18 9091.7422 9093.5977 5/10/18 9100 9395
5/11/18 8432 8432.0117 5/11/18 9100 9395
5/14/18 8810.916 8812.4043 5/14/18 8450 9000
5/15/18 8516.3105 8521.1992 5/15/18 8300 9000
5/16/18 8291.2188 8291.2305 5/16/18 8295 8880
5/17/18 8201.7969 8206.3008 5/17/18 8100 9900
5/18/18 8225.2695 8233.8906 5/18/18 8100 9900
5/21/18 8404.5977 8409.1738 5/21/18 8250 9250
5/22/18 8108.3984 8108.6484 5/22/18 8000 8650
5/23/18 7589.9922 7590 5/23/18 7600 8390
5/24/18 7550 7554.8984 5/24/18 7580 8250
5/25/18 7446.4805 7449.6699 5/25/18 7580 8250
5/28/18 7212.6992 7216.8984 5/28/18 7580 8250
5/29/18 7497.2344 7505.8516 5/29/18 7400 8250
5/30/18 7336.0195 7338.5 5/30/18 7280 7885
5/31/18 7535.9004 7540.666 5/31/18 7280 7885
6/1/18 7436.4922 7438.9883 6/1/18 7280 7885
6/4/18 7522.543 7528.9883 6/4/18 7280 7885
6/5/18 7627.6582 7631.4082 6/5/18 7400 7885
6/6/18 7618.1406 7620.4941 6/6/18 7605 8200
6/7/18 7659.3691 7660.75 6/7/18 7500 8200
6/8/18 7644.5645 7647.9883 6/8/18 7500 8200
6/11/18 6758.0195 6763.7656 6/11/18 6575 7250
6/12/18 6530.4102 6532.3711 6/12/18 6410 6865
6/13/18 6259.1309 6262.7949 6/13/18 6010 6400
6/14/18 6657.9629 6659.5938 6/14/18 6390 7200
6/15/18 6496.6445 6499.3008 6/15/18 6390 7200
6/18/18 6725 6730.1016 6/18/18 6710 7010
6/19/18 6693.0977 6697.7734 6/19/18 6700 7010
6/20/18 6747.3633 6750.416 6/20/18 6500 6880
6/21/18 6719.1289 6719.8008 6/21/18 6660 6880
6/22/18 6067.9492 6072.4375 6/22/18 6660 6880
6/25/18 6250.5195 6251.1016 6/25/18 5980 6700
6/26/18 6243 6243.8672 6/26/18 6240 6280

In: Finance

In a study of credibility or believability of television news versus printed news, a sample of...

In a study of credibility or believability of television news versus printed news, a sample of 35 adults was selected from residents of an urban area in the Midwest. Each person was asked to express his or her opinion regarding the statement “Television news is more trustworthy than corresponding news reported in the printed media.” Responses were measured on a five-point scale from “strongly agree” (1) to “Strongly Disagree” (5), and were reported as follows:

4 4 3 5 5 3 5 2 4 1 4 1 3 4 3 4 5 5 5 5 5 4 4 3 2 5 1 5 4 5 4 2 3 4 4

  1. Construct a frequency distribution table that corresponds to this data and draw a frequency graph of the distribution
  2. Calculate the mean, median, mode, range, variance, and standard deviation (Show ALL work for Standard Deviation legibly).

Thank you!

In: Statistics and Probability