Questions
The electron configurations described in this chapter all refer to gaseous atoms in their ground states....

The electron configurations described in this chapter all refer to gaseous atoms in their ground states. An atom may absorb a quantum of energy and promote one of its electrons to a higher-energy orbital. When this happens, we say that the atom is in an excited state. The electron configurations of some excited atoms are given. Identify these atoms and write their ground-state configurations.

(c) 1s22s22p64s1
(d) [Ar]4s13d104p4
(e) [Ne]3s23p43d1

In: Chemistry

Open the State of the States data set and codebook, and answer the following questions. 1....

Open the State of the States data set and codebook, and answer the following questions.

1. Calculate the following univariate statistics for the variable, childabuserate (i.e., maximum, minimum, mean, standard deviation (STDEV), and skewness (SKEW). Be sure to determine N (the sample size) for this variable.

2. Diagram, by hand, the shape, mean, minimum & maximum values of child abuse rate. In other words, draw, by hand, a figure for a 5 number summary.

3.   Write a full paragraph giving the information in the 5 number summary in text format, and explain the conclusions that might be drawn from the 5 number summary. An example 5 number summary paragraph is given at the end of this assignment.

4. Calculate the following univariate statistics for the variable – marriagerate (i.e., maximum, minimum, mean and/or median, standard deviation (STDEV), and skewness (SKEW). Be sure to determine N (the sample size) for this variable.

5. Diagram, by hand, the shape, minimum & maximum, and appropriate measure of central tendency values of marriage rate. In other words, draw, by hand, a figure for a 5 number summary. You are welcome to construct a box plot if you wish. Note that the 25th percentile (i.e., 1st quartile) for this variable is 5.85%; the 75th percentile (i.e., 3rd quartile) is 7.65%.

6.   Write a full paragraph giving the information in the 5 number summary in text format, and explain the conclusions that might be drawn from the 5 number summary.

7. Using the Excel output given toward the end of this assignment (Table 1), diagram, by hand, the shape, minimum & maximum, and appropriate measure of central tendency values for the variable, minority population. In other words, draw, by hand, a figure for a 5 number summary. You are welcome to construct a box plot if you wish.

8.   Write a full paragraph giving the information in the 5 number summary in text format, and explain the conclusions that might be drawn from the 5 number summary.

Read the results section of the article due to be read for Session 4 – Leonard (2004) - and answer the following questions.

9. According to Table 1, how many graduates and how many defectors were there in the study?

10. Table 2 contains the demographic characteristics of study participants. How many males (be sure to include both graduates and defectors) and females participated in the study? Which gender was more likely to graduate from the program?

11. The 3 most common official reasons for defection from the program were what? On average, how long did defectors actually remain in the program?  

12. What differences and similarities existed between graduates and defectors with regard to their educational characteristics?

Table 1. Microsoft Excel output for the variable Minoritypopulation from the State of the States data set for use in Questions 7 and 8.

Minority Population (%)

Mean

20.48

Standard Error

1.86

Median

16.80

Mode

#N/A

Standard Deviation

13.28

Sample Variance

176.29

Kurtosis

4.68

Skewness

1.77

Range

69.30

Minimum

4.60

Maximum

73.90

Sum

1044.50

Count

51.00

25th Percentile

11.75

75th Percentile

27.20

Example Paragraph for a 5 number summary

This paragraph is for the variable child mortality rate for countries of the world

       The sample was 195 countries in the data set. However, 4 countries did not provide data on their child mortality rates, resulting in a sample size of 191. The skew of the data was 1.0, indicating that the data were positively skewed. The mean child mortality rate was 31/1000 (SD = 28.2). The country with the lowest child mortality rate was Monaco, with a rate of 1.8 deaths/1000 births. The country with the highest child mortality rate was Afghanistan, with a mortality rate of 121.6/1000. The majority of countries of the world have relatively low child mortality rates (i.e., less than 31/1000), although there are a few countries (e.g., Afghanistan) who have much higher mortality rates.

State of the States codebook

The data in the State of States data set primarily consists of data about the states of the U.S. collected between 2010-2013. Exceptions are noted.

51 cases/observation, 39 variables

1. State

2. Geographic region (e.g., south, west, northeast, Midwest, northeast – 5 levels)

3. Geographic regions of US used by Census bureau (e.g., pacific, north east – 9 levels)

4. Geographic size of state (in square miles)

5. State population (collected 2014)

6. Popgrowthrate – population growth rate – yearly increase/decrease in population size from previous year (2013)

7. GDP2012 – State gross domestic product for 2012 – measure of strength of economy

8. Bankrupt – number of bankruptcies in a state in 2013

9. State2 (same as variable 1)

10. Divorcerate – divorce rate – number of divorces per 1,000 people

11. Marriagerate = marriage rate – number of marriages per 1,000 people

12. MtoFratio = male to female ratio – how many males there are for each 100 females (a number that is more than 100 means there are more males than females; a number under 100 means there are more females than males.)

13. MinorityPOP% - percentage of the population that is of minority status (i.e., is non white). A value of 50% means that minorities make up 50% of a states population.

14. MeanANNPay = mean annual pay/salary

15. Unemployrate = unemployment rate = percentage of employable adults in the labor force who are unemployed.

16. Alcohol = amount of alcohol consumed in 1 year per Adult 21 Years and Older IN GALLONS)

17. Deaths = death rate – number of deaths in 1 year per 100,000 population. To convert to a percentage, move the decimal point to the left 3 places. For example, a death rate of 933.7 [for Alabama] means that approximately .944 people died out of 100, or .94%

18. Infantdeathrate = infant mortality rate – number of infant deaths for each 1000 live births

19 obeseadults – the percentage of the state adults who are either overweight or obese

20. costnewhousing = cost of a new house – average cost of a new house

21. state 3 – Same variable as state

22. imprisonmentrate – rate of imprisonment – number of state prisoners per 100,000 population. To convert to a percentage, move the decimal 3 places to the left. For example, for Alabama, 650 would produce a percentage rate of .65% (about 2/3 of a percent)

23. Violentcrimerate = rate of violent crimes – number of violent crimes per 100,000 population in previous year. To convert to a percentage, move the decimal 3 places to the left. For example, for Alabama, 449.9 would produce a percentage rate of .4499% or .45% (less than ½ of a percent).

24. childabuserate – rate of child and neglect incidents per 1,000 population. To convert a value to a percentage, move the decimal 1 point to the left. So, for Alaska, a value of 15.6 would produce a value of 1.56 or 1.6%

25. LEPS = law enforcement personal – number of law enforcement personnel in state

26. LEAs = law enforcement agencies – number of law enforcement agencies in a state

27. Deathpenalty = death penalty status – does a state have the death penalty? (1 = yes, 0 = no).

28. Executions – actual number of executions by a state in 2011

29. deathrow – number of inmates on death row in a state

30. meanPcost = mean prisoner cost – estimated mean cost of housing a prisoner for one year (in US dollars).

31. murderrate = murder rate – number of murders in past year per 100,000 population. To convert to a percentage, move the decimal 3 places to the left. For example,

for Alabama, 7.1 would produce a percentage rate of .0071 (less than 1/100 of a percent).

32. F Robberies – firearms related robberies – number of robberies using firearms per 100,000. To convert to a percentage, move the decimal 3 places to the left.

33. F Assaults = firearms related assaults – number of assault using firearms per 100,000 population. To convert to a percentage, move the decimal 3 places to the left.

34. state 4 (same as variable 1).

35. fedhouseseats – number of seats that a state has in the Federal house of representatives

36. Housecontrol = which party (Republican or Democrat) has control of both houses of a state legislature (R = republicans have both, D = Democrats have both, S = Split; each party controls one part of the state legislature). Non indicates that a state legislature is not party based. As of 2012 elections. Will change in November 2014

37. Abortions – actual number of abortions reported in a state

38. Abort1000B – number of abortions in a state per 1000 birth

39 Abort1000W – number of abortions in a state per 1000 women

DATA SETS:

State Census Region Census Division State Size (squ. mi) Population2014 POPgrowthrate GDP2015 Bankrupt State2 Divorcerate MarriageRate MtoFratio MinorityPOP% MeanANNpay Unemployrate Alcohol Deaths InfantDeathRate Obeseadults Costnewhousing State ImprisonmentRate ViolentCrimeRate Childabuserate LEPs LEAs DeathPenalty Executions DeathRow MeanPCost MurderRate F Robberies F Assaults State FedHouseSeats Housecontrol Abortions Abort1000B Abort1000W
Alabama South southeastcentral 52,419 731,449 1.13 209,382 27678 Alabama 4.3 8.4 94.2 30 41990 6.1 2.2 933.7 8.7 67.8 178218 Alabama 650 449.9 8.5 1990 40 1 6 196 12117 7.1 Alabama 7 R 11,268 175 12
Alaska West Pacific 587,878 4,822,023 3.51 54,256 638 Alaska 4.8 7.8 108.9 32.5 50614 6.4 3.3 747.9 3.8 64.8 239547 Alaska 401 603.2 15.6 16185 342 0 0 49177 4.1 18.19 80.47 Alaska 1 R 1,759 154 12
Arizona West Mountain 114,007 6,553,255 3.67 298,204 24046 Arizona 3.9 5.7 98.9 15.7 45593 7.6 2.7 688.9 6 62 216680 Arizona 583 428.9 6.2 20759 108 1 4 130 28963 5.5 50.24 57.36 Arizona 9 R 10,660 107 8
Arkansas South southwestcentral 53,183 2,949,131 1.49 123,424 12580 Arkansas 5.3 10.4 96.5 20 38226 7.4 1.9 894.6 7.3 68.7 166001 Arkansas 494 469.1 15.7 9074 276 1 0 39 20240 5.9 45.45 100.56 Arkansas 4 R 4,788 118 9
California West Pacific 158,648 38,041,430 2.90 2,448,467 149203 California 5.8 98.9 26.3 56784 8.3 2.6 638.8 4.7 60.3 227470 California 351 423.1 8.2 116797 463 1 0 705 32443 5 42.97 45.39 California 53 D 181,730 23
Colorado West Mountain 104,185 5,187,582 4.76 318,600 23976 Colorado 4.4 7 100.8 11.9 50563 6.2 3.1 677.8 5.9 55.7 216046 Colorado 392 308.9 8.5 16700 235 1 0 3 31889 3.1 25.74 45.72 Colorado 7 D 11,581 165 11
Connecticut Northeast NewEngland 5,006 3,590,347 0.62 262,212 7321 Connecticut 3.1 5.5 95.1 18 62085 7.4 2.7 660.9 5.3 62.3 195449 Connecticut 333 283 10.3 10254 103 0 0 10 48414 4.1 34.85 20.06 Connecticut 5 D 14,442 357 21
Delaware South SouthAtlantic 2,026 917,092 3.10 66,150 3581 Delaware 3.6 5.2 94 28.6 51734 6.2 4 763.4 7.7 66 121460 Delaware 448 547.4 11.4 3139 54 1 1 18 27288 6.2 69.67 81.36 Delaware 1 D 4,603 381 26
District of Columbia South SouthAtlantic 68 646,469 7.43 122,936 855 District of Columbia 2.9 8.7 89.7 57.1 82783 8.1 4.3 756 7.9 51.9 85987 District of Columbia 1243.7 19.6 4919 2 0 0 32308 13.9 242.56 87.7 District of Columbia 2,553 280 17
Florida South SouthAtlantic 65,755 19,317,568 4.00 893,189 77923 Florida 4.5 7.4 95.7 21.7 43211 6.2 2.8 677.1 6.5 62.1 209528 Florida 524 487.1 13.3 71906 357 1 2 393 26287 5.2 Florida 27 R 86,817 375 25
Georgia South SouthAtlantic 58,390 9,919,945 3.14 501,241 60305 Georgia 6.6 95.7 37.2 46267 7.4 2.2 806.2 6.4 64.6 156820 Georgia 542 378.9 7.5 34432 458 1 4 96 24172 5.9 72.48 58.64 Georgia 14 R 35,888 245 11
Hawaii West Pacific 6,459 1,392,313 3.22 79,595 2313 Hawaii 17.6 101.7 73.9 43385 4.5 2.8 584.8 6.2 56.1 263360 Hawaii 273 239.2 4.6 3733 4 0 0 35376 2.1 Hawaii 2 D 3,273 168 13
Idaho West Mountain 83,574 1,595,728 2.84 65,202 5643 Idaho 4.9 8.6 100.2 6.2 36152 5.7 3 744.9 4.8 62.6 185447 Idaho 499 207.9 4251 108 1 1 13 24694 1.8 3.41 23.43 Idaho 2 R 1,481 59 5
Illinois Midwest Northeastcentral 56,343 12,875,255 0.40 771,896 68125 Illinois 2.6 5.6 96.4 22.1 52194 8.6 2.7 737.3 6.8 63.9 203779 Illinois 414.8 9 46335 690 0 0 29357 5.8 2.26 5.26 Illinois 18 D 47,717 270 18
Indiana Midwest Northeastcentral 36,185 6,537,334 1.34 331,126 34495 Indiana 6.8 97 13.4 41240 6.9 2.3 825 7.6 65.5 172535 Indiana 440 345.7 12.7 15851 244 1 0 12 30627 4.7 53.14 29.91 Indiana 9 R 10,999 124 9
Iowa Midwest Northwestcentral 56,276 3,074,186 1.45 171,532 5892 Iowa 2.4 6.7 98.4 7.2 40343 4.2 2.6 722.7 4.9 64.7 181574 Iowa 282 263.9 14.9 7573 235 0 0 36844 1.5 7.31 21.95 Iowa 4 S 6,475 161 11
Kansas Midwest Northwestcentral 82,282 2,885,905 1.43 149,090 8604 Kansas 3.9 6.3 98.9 12.8 41118 4.9 2.2 767.2 6.2 65.6 175247 Kansas 325 354.6 2.6 10058 320 1 0 9 33743 2.9 24.86 76.87 Kansas 4 R 10,604 253 19
Kentucky South southeastcentral 40,411 4,380,415 1.29 194,578 18672 Kentucky 4.4 7.5 97.1 11.4 40451 8 2 910.3 6.8 66.9 131033 Kentucky 489 222.6 16.7 9063 287 1 0 34 24759 4.5 39.77 25.14 Kentucky 6 S 4,272 73 5
Louisiana South southwestcentral 47,720 4,601,893 2.03 253,517 15972 Louisiana 6.4 95.8 36.3 43300 5.7 2.9 882.1 7.6 69.5 180180 Louisiana 893 496.9 7.6 20593 181 1 0 87 18666 10.8 63.48 99.51 Louisiana 6 R 6,816 104 7
Maine Northeast NewEngland 33,128 1,329,192 0.00 55,137 2575 Maine 4.2 7.2 95.8 4.7 38606 6.2 2.8 749.5 5.4 64.2 176939 Maine 145 122.7 14.2 2819 135 0 0 51143 1.9 5.8 4.52 Maine 2 D 2,623 193 11
Maryland South SouthAtlantic 10,455 5,884,563 2.69 365,209 23193 Maryland 2.9 5.8 93.9 39.2 54035 6.1 2.5 715.9 6.8 63.8 157246 Maryland 360 476.8 9.7 20453 131 0 0 5 33751 6.3 79.71 41.18 Maryland 8 D 34260 29
Massachusetts Northeast NewEngland 8,262 6,646,144 2.22 478,941 13201 Massachusetts 2.7 5.5 94 16.3 60898 7 2.9 676.1 4.4 58.8 254385 Massachusetts 199 405.5 13.7 19771 341 0 0 39448 1.8 27.84 33.19 Massachusetts 9 D 23,883 310 18
Michigan Midwest Northeastcentral 58,513 9,883,360 0.12 468,029 44032 Michigan 3.4 5.7 96.4 19.9 46720 8.4 2.6 784.2 7.1 65.7 203378 Michigan 441 454.5 14.7 23744 603 0 0 42580 7 55.95 86.41 Michigan 14 R 25,970 214 13
Minnesota Midwest Northwestcentral 84,397 5,379,139 2.20 334,780 15003 Minnesota 5.6 98.7 13.5 49349 4.6 2.8 659.2 4.5 63 214740 Minnesota 184 230.9 3.3 13409 321 0 0 57384 1.8 20.11 22.52 Minnesota 8 R 12,948 179 8
Mississippi South southeastcentral 47,695 2,984,926 0.81 106,880 12938 Mississippi 4 4.9 94.4 40.1 35875 8 2.5 956.2 9.7 68.9 150698 Mississippi 717 260.8 10.2 6216 134 1 2 57 16925 7.4 60.07 51.69 Mississippi 4 D 2,772 62 5
Missouri Midwest Northwestcentral 69,709 6,021,988 0.92 290,713 25951 Missouri 3.9 6.6 96.1 16.1 42695 5.9 2.8 811.4 6.6 65.8 164407 Missouri 518 450.9 3.3 20158 560 1 1 46 19467 6.5 52.47 88.9 Missouri 8 D 7,413 92 6
Montana West Mountain 147,047 1,005,141 2.60 45,799 1851 Montana 4 7.8 101 10.3 37096 5.2 3.2 760.7 5.9 61.3 154381 Montana 358 272.2 6 3022 112 1 0 2 31528 2.7 3.78 29.03 Montana 1 D 2,125 169 12
Nebraska Midwest Northwestcentral 77,359 1,855,525 2.31 112,208 5362 Nebraska 3.5 6.6 98.8 10.1 39268 3.6 2.6 719.8 5.3 65 161325 Nebraska 247 259.4 8.4 4893 156 1 0 11 33787 2.9 25.44 33.84 Nebraska 3 Non 2,813 104 8
Nevada West Mountain 110,567 2,758,931 3.32 141,204 14483 Nevada 5.6 36.9 101.7 22.9 43667 8.8 3.8 789.6 5.6 62.5 156546 Nevada 607.6 8.2 8325 26 1 0 81 23318 4.5 69.77 53.3 Nevada 4 D 10,789 273 21
New Hampshire Northeast NewEngland 9,283 1,320,718 0.53 71,632 3376 New Hampshire 3.8 7.1 97.6 5.6 48272 5.1 5.3 710 4 62.1 220205 New Hampshire 211 187.9 3.3 3473 155 1 0 1 31615 1.1 9.83 15.14 New Hampshire 2 S 3200 13
New Jersey Northeast Midatlantic 7,790 8,864,590 1.22 579,379 28882 New Jersey 2.9 4.8 95.2 26.2 58644 7.3 2.7 690.6 4.8 61.6 133248 New Jersey 261 290.2 4.5 36854 538 0 0 46686 4.4 49.87 26.94 New Jersey 12 D 28,480 253 16
New Mexico West Mountain 121,599 2,085,538 1.27 90,810 4502 New Mexico 3.3 8 98.1 16.8 40698 6.4 2.7 748 5.6 62.8 164263 New Mexico 315 559.1 11.4 6181 112 0 0 2 44741 5.6 34.96 87.26 New Mexico 3 D 5,398 179 14
New York Northeast Midatlantic 49,112 19,570,261 1.41 1,455,568 37192 New York 2.9 6.9 94.1 28.8 62669 7.1 2.4 664.2 5.1 60.6 141649 New York 276 406.8 16 81795 449 0 0 0 43125 3.5 23.28 20.06 New York 27 S 124,867 499 31
North Carolina South SouthAtlantic 52,672 9,752,073 3.28 509,718 19438 North Carolina 3.7 6.7 95.1 28.1 43110 6.9 2.3 790.8 7 65.9 159289 North Carolina 357 353.4 10.1 33061 513 1 0 158 38387 4.9 48.72 67.44 North Carolina 13 R 31,822 243 17
North Dakota Midwest Northwestcentral 70,704 699,628 7.55 53,686 872 North Dakota 2.7 6.7 103.4 9.9 45909 2.6 3.6 697.3 6.8 66.3 129512 North Dakota 213 244.7 9.1 1864 103 0 0 26024 4 4.79 4.79 North Dakota 1 R 1,386 155 11
Ohio Midwest Northeastcentral 41,328 11,544,225 0.30 599,093 48695 Ohio 3.4 5.9 95.6 16.6 44244 7.2 2.2 822 7.7 65.3 164662 Ohio 440 299.7 11 30000 617 1 5 142 29755 4.3 65.45 37.97 Ohio 16 R 29,613 199 13
Oklahoma South southwestcentral 69,903 3,814,820 2.64 179,835 10981 Oklahoma 5.2 6.9 98.2 24.5 41633 5.4 2.2 910.1 7.6 67.8 169358 Oklahoma 648 469.3 10.3 11978 337 1 2 63 16083 5.7 42.81 58.07 Oklahoma 5 R 6,478 118 9
Oregon West Pacific 97,052 3,899,353 2.58 228,120 13677 Oregon 3.8 6.6 98.1 11.7 44258 7 2.8 724.1 4.9 61.1 184619 Oregon 378 247.6 11.1 10057 213 1 0 36 48300 2.4 14.57 17.55 Oregon 5 D 10,610 216 14
Pennsylvania Northeast Midatlantic 45,310 12,763,536 0.56 684,313 27563 Pennsylvania 2.8 5.3 95.4 16.5 48397 6.9 2.5 776.1 7.3 65 175142 Pennsylvania 398 348.7 1.2 31245 966 1 0 207 42574 5.4 54.69 39.44 Pennsylvania 18 R 38,807 260 16
Rhode Island Northeast NewEngland 1,213 1,050,292 -0.11 56,323 3547 Rhode Island 3.2 6 93.8 14.1 46716 9.1 3 707.6 7.1 62.9 189642 Rhode Island 190 252.4 14.9 3091 48 0 0 54220 3.2 12.71 17.86 Rhode Island 2 D 4,502 374 21
South Carolina South SouthAtlantic 31,117 4,723,723 3.23 199,256 7618 South Carolina 3.2 7.2 94.7 31.6 39286 6.6 2.6 839.9 7.4 66.1 195393 South Carolina 458 558.8 10.6 15689 384 1 1 52 21205 6.9 52.93 127.88 South Carolina 7 R 7,187 114 8
South Dakota Midwest Northwestcentral 77,122 833,354 3.77 45,415 1366 South Dakota 3.3 7.5 100.8 13.8 36534 3.6 3.1 720.4 6.9 66 134865 South Dakota 434 321.8 6 2833 138 1 0 4 26985 3 4.91 20.6 South Dakota 1 R 848 70 6
Tennessee South southeastcentral 42,146 6,456,243 2.36 310,276 42910 Tennessee 4.3 9 95.2 20.7 43961 7.8 2.3 879.1 7.9 65.3 160608 Tennessee 438 643.6 6.7 25784 453 1 0 87 34748 6 72.88 137.58 Tennessee 9 R 18,253 213 15
Texas South southwestcentral 266,874 26,059,203 5.18 1,639,375 42780 Texas 3.2 7.1 98.8 19.4 50579 6 2.6 751.6 6.1 65.1 152102 Texas 601 408.6 9 89839 1023 1 13 301 18531 4.4 50.21 58.28 Texas 36 R 81,366 201 4
Utah West Mountain 84,905 2,855,287 4.96 148,225 14939 Utah 3.7 8.6 101.2 8.2 41301 4.1 1.6 699 4.9 57.8 205024 Utah 242 205.8 10.6 6965 135 1 0 8 49095 1.8 10.98 21.32 Utah 4 R 3,911 70 7
Vermont Northeast NewEngland 9,615 626,011 0.14 29,750 933 Vermont 3.6 8.3 97.3 4.6 40967 4.2 3.2 711 4.2 60.3 176545 Vermont 242 142.6 5.2 1503 68 0 0 47173 1.3 4.32 12.6 Vermont 1 D 1,493 236 12
Virginia South SouthAtlantic 40,598 8,185,867 3.24 480,876 26578 Virginia 3.8 6.8 96.6 28.9 51646 5.2 2.4 741.6 6.8 63.6 153603 Virginia 451 190.1 3.1 23443 280 1 1 9 24738 3.8 35.4 21.35 Virginia 11 R 28,698 269 18
Washington West Pacific 68,126 6,897,012 3.67 449,404 25730 Washington 4.1 6.1 99.6 18.4 51962 6.6 2.5 690.4 4.5 62.2 208822 Washington 295.6 4.1 14315 259 1 0 8 40449 3 20.72 28.44 Washington 10 S 24,297 269 5
West Virginia South SouthAtlantic 24,231 1,855,413 0.07 71,123 3765 West Virginia 5.2 7.2 97.4 6 39727 5.9 2.1 953.3 7.3 68.3 155711 West Virginia 378 316.3 12 4417 353 0 0 26162 3.9 16.08 52.04 West Virginia 3 D 1,983 92 6
Wisconsin Midwest Northeastcentral 56,145 5,726,398 0.98 300,699 23473 Wisconsin 2.9 5.3 98.6 11.8 41966 6.2 3.4 721.3 5.8 66.5 175778 Wisconsin 357 280.5 3.5 18968 393 0 0 42131 3 43.86 27.4 Wisconsin 8 R 8,229 114 7
Wyoming West Mountain 97,818 576,412 3.38 40,170 1241 Wyoming 4.8 7.8 104.3 6.9 44580 4.4 2.9 754.6 6.8 63.3 232046 Wyoming 379 201.4 5.2 1691 90 1 0 1 29517 2.4 385 2207 Wyoming 1 R 120 1

In: Statistics and Probability

For citizens domiciled in community property states, which of the following statements is correct? A. Any...

For citizens domiciled in community property states, which of the following statements is correct?

A. Any income earned during marriage is deemed to be one-half earned by each spouse.

B. Commingled property does not lose identity.

C. Community property is owned 100% by each spouse.

D. Property owned separately cannot be kept separate.

In: Accounting

On the Elf’s contract, it states that he must deliver 5 pounds of candy to every...

On the Elf’s contract, it states that he must deliver 5 pounds of candy to every house on the average.  However, his supervisor, Santa, feels that the Elf might be snacking along the way and not meeting this quota.  To monitor the Elf’s work, Santa took a random sample of 64 houses and the amount of candy delivered by the Elf was noted.  Assume: standard deviation of the amount of candy delivered to all the houses by the Elf is .6 pounds and the mean is 7 pounds.

a) What is the probability that the average amount of candy delivered to the 64 houses is more than 5.8 pounds?

b) Instead of 64 houses, Santa decided to sample 16 houses in order to save time.  What is the probability that the average amount of candy delivered to the 16 houses is less than 6 pounds?  What assumption/s do you need to answer this problem?  

In: Statistics and Probability

A magazine article states the average age of women getting married for the first time is...

A magazine article states the average age of women getting married for the first time is 25 years old. A researcher suspects this article may be incorrect. The researcher randomly selects 105 women who were recently married and found their average age was 24.7 years. The standard deviation of the population is 5.3 years. Perform a hypothesis test using ∝ = 0.10.

Step #2: Find the test value

Which test is needed? two, right, or left tailed test

Find the p-value.

do not reject or reject the null hypothesis?

In: Statistics and Probability

An athletics coach states that the distribution of player run times (in seconds) for a 100-meter...

An athletics coach states that the distribution of player run times (in seconds) for a 100-meter dash is normally distributed with a mean equal to 14.00 and a standard deviation equal to 0.2 seconds. What percentage of players on the team run the 100-meter dash in 14.44 seconds or faster? (Round your answer to two decimal places.)

In: Statistics and Probability

The Market Approach to consumer protection states that if consumers do not place a high value...

The Market Approach to consumer protection states that if consumers do not place a high value on safety (or are unwilling to pay for it), then it is wrong to force them to pay for higher levels of safety through regulation.

a. True

b. False

6.         The Due Care theory is based on the idea that consumers and sellers do not meet as equals and that consumers are vulnerable to being harmed by manufacturers, who have a knowledge and an expertise that the consumer is missing.

a. True

b. False

7.         For the Contractual View theory of consumer protection to work, there must exist an actual contract that the customer has signed.

            a. True

            b. False

8.         The Club of Rome got its name from how its predictions are based on the example of the fall of the ancient Roman empire.

            a. True

            b. False

Part II: Paragraph Answers. Answer all questions.  Write a short paragraph, two or three sentences, around 50 - 75 words for each answer. Remember, if possible, always combine each question’s multiple issues into a singular answer. Do not go too far and try to write about everything you can think of for a question—keep it economical and under 100 words each. NOTE: Grading will take into consideration the content, language (grammar, spelling, punctuation etc.) and structure. Answer directly below the question.

2 points each.   

  1. Discuss one or two things that the study of business ethics can learn from the idea of “The Tragedy of the Commons”?

  1. Discuss one thing you think Oman needs to do better regarding the issue of environmental sustainability.  
  1. Which do you feel is the better approach to consumer protection, the Market Approach, or the Due Care approach? Defend your position.
  1. Discuss the basic difference between caveat emptor and caveat vendor. Which one do you think businesses should be following? Why?
  1. Discuss one of the reasons why people criticize the business of advertising. Agree or disagree with this criticism and defend your opinion.
  1. What was wrong with the exponential rate model of resource depletion? Why has it been replaced by the peaked rate model?
  1. On the topic of non-renewable resource depletion, are you a techno-optimist or a techno-pessimist? Defend your position and explain why you feel the other side is wrong.
  1. Apply the precautionary principle to the case of Ford and the crash tests for the Pinto. What does the principle say Ford should do about the car?

In: Economics

The systematic principle states that the reward for bearing risk depends only on the diversifiable risk...

The systematic principle states that the reward for bearing risk depends only on the diversifiable risk of an investment. True or false?

Securities and portfolios lie above SML are underpricing. True or false?

When we apply WACC to evaluate projects with different levels of risk, we could correctly reject low risk and accept high risk projects. True or false?

In: Finance

Mid States Company is a regional chain department store. It will remain in business for one...

Mid States Company is a regional chain department store. It will remain in business for one more year. The probability of a boom year is 70 percent and the probability of a recession is 30 percent. It is projected that the company will generate a total cash flow of $191 million in a boom year and $82 million in a recession. The company's required debt payment at the end of the year is $116 million. The market value of the company’s outstanding debt is $89 million. The company pays no taxes. a. What payoff do bondholders expect to receive in the event of a recession? (Do not round intermediate calculations. Enter your answer in dollars, not millions of dollars, e.g. 1,234,567.) Payoff $ b. What is the promised return on the company's debt? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places, e.g., 32.16.) Promised return % c. What is the expected return on the company's debt? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places, e.g., 32.16.) Expected return %

In: Finance

There are only two possible states of the economy. State 1 has a 57% chance of...

There are only two possible states of the economy. State 1 has a 57% chance of occurring. In State 1, Asset A returns 7.75% and Asset B returns 10.75%. In State 2, Asset A returns -4.10% and Asset B returns -7.10%. A portfolio of just these two assets is invested 53% in Asset A (with Asset B comprising the remainder without any negative weights). What is the standard deviation of the portfolio's returns?

In: Accounting