Question

In: Operations Management

Problem Statement: 1: Using a pivot table, show in an appropriate chart the total number of...

Problem Statement:

1: Using a pivot table, show in an appropriate chart the total number of confirmed voters by percentage and by age group in the United States

2: What conclusions do you draw from the study and chart?

State	Age	Total Population	Citizen Population	Registered Voters	Confirmed Voters
Alabama	18 to 24	439000	428000	212000	155000
Alabama	25 to 34	576000	535000	359000	271000
Alabama	35 to 44	615000	582000	410000	330000
Alabama	45 to 64	1297000	1275000	1051000	939000
Alabama	65+	667000	660000	523000	459000
Alaska	18 to 24	63000	61000	31000	20000
Alaska	25 to 34	109000	103000	70000	46000
Alaska	35 to 44	86000	80000	60000	50000
Alaska	45 to 64	186000	182000	144000	122000
Alaska	65+	72000	69000	55000	51000
Arizona	18 to 24	586000	545000	301000	234000
Arizona	25 to 34	859000	709000	399000	289000
Arizona	35 to 44	870000	713000	437000	382000
Arizona	45 to 64	1656000	1502000	1015000	901000
Arizona	65+	892000	846000	659000	606000
Arkansas	18 to 24	288000	281000	126000	70000
Arkansas	25 to 34	362000	336000	194000	140000
Arkansas	35 to 44	357000	341000	234000	205000
Arkansas	45 to 64	742000	704000	498000	442000
Arkansas	65+	449000	448000	324000	267000
California	18 to 24	3962000	3479000	1787000	1447000
California	25 to 34	5357000	4153000	2548000	2070000
California	35 to 44	5030000	3675000	2478000	2118000
California	45 to 64	9356000	7827000	5459000	4926000
California	65+	4653000	4284000	3084000	2902000
Colorado	18 to 24	493000	461000	278000	259000
Colorado	25 to 34	693000	602000	411000	363000
Colorado	35 to 44	684000	616000	484000	452000
Colorado	45 to 64	1354000	1287000	1025000	989000
Colorado	65+	593000	577000	437000	432000
Connecticut	18 to 24	333000	308000	145000	123000
Connecticut	25 to 34	402000	331000	210000	177000
Connecticut	35 to 44	441000	382000	255000	223000
Connecticut	45 to 64	1047000	993000	768000	695000
Connecticut	65+	503000	486000	383000	351000
Delaware	18 to 24	82000	77000	38000	33000
Delaware	25 to 34	106000	86000	54000	49000
Delaware	35 to 44	119000	102000	77000	67000
Delaware	45 to 64	240000	232000	182000	168000
Delaware	65+	146000	145000	118000	113000
District Of Columbia	18 to 24	71000	61000	43000	38000
District Of Columbia	25 to 34	154000	133000	114000	102000
District Of Columbia	35 to 44	79000	67000	59000	55000
District Of Columbia	45 to 64	140000	129000	109000	99000
District Of Columbia	65+	73000	71000	60000	57000
Florida	18 to 24	1669000	1467000	751000	614000
Florida	25 to 34	2259000	1903000	1158000	987000
Florida	35 to 44	2456000	1960000	1335000	1177000
Florida	45 to 64	5345000	4814000	3474000	3107000
Florida	65+	3304000	3182000	2384000	2222000
Georgia	18 to 24	920000	867000	469000	349000
Georgia	25 to 34	1308000	1148000	847000	700000
Georgia	35 to 44	1341000	1228000	825000	726000
Georgia	45 to 64	2658000	2547000	1886000	1741000
Georgia	65+	951000	948000	739000	652000
Hawaii	18 to 24	107000	91000	33000	24000
Hawaii	25 to 34	172000	154000	65000	55000
Hawaii	35 to 44	166000	153000	83000	69000
Hawaii	45 to 64	343000	317000	217000	196000
Hawaii	65+	224000	215000	149000	137000
Idaho	18 to 24	130000	121000	51000	39000
Idaho	25 to 34	194000	173000	114000	99000
Idaho	35 to 44	203000	187000	141000	132000
Idaho	45 to 64	401000	382000	274000	250000
Idaho	65+	201000	201000	164000	160000
Illinois	18 to 24	1228000	1122000	608000	396000
Illinois	25 to 34	1707000	1480000	1020000	846000
Illinois	35 to 44	1688000	1481000	1066000	872000
Illinois	45 to 64	3407000	3182000	2471000	2206000
Illinois	65+	1620000	1566000	1259000	1108000
Indiana	18 to 24	570000	558000	269000	203000
Indiana	25 to 34	861000	800000	462000	356000
Indiana	35 to 44	828000	801000	550000	420000
Indiana	45 to 64	1754000	1733000	1329000	1212000
Indiana	65+	840000	832000	660000	610000
Iowa	18 to 24	260000	243000	150000	121000
Iowa	25 to 34	402000	379000	276000	238000
Iowa	35 to 44	385000	358000	275000	238000
Iowa	45 to 64	828000	812000	652000	586000
Iowa	65+	444000	440000	392000	365000
Kansas	18 to 24	294000	262000	127000	88000
Kansas	25 to 34	406000	359000	236000	172000
Kansas	35 to 44	300000	269000	203000	169000
Kansas	45 to 64	757000	721000	583000	535000
Kansas	65+	363000	363000	318000	285000
Kentucky	18 to 24	446000	437000	225000	165000
Kentucky	25 to 34	513000	462000	320000	235000
Kentucky	35 to 44	547000	534000	411000	330000
Kentucky	45 to 64	1173000	1152000	879000	757000
Kentucky	65+	613000	608000	468000	408000
Louisiana	18 to 24	431000	415000	226000	174000
Louisiana	25 to 34	579000	552000	422000	369000
Louisiana	35 to 44	543000	526000	399000	340000
Louisiana	45 to 64	1199000	1184000	968000	846000
Louisiana	65+	568000	562000	483000	420000
Maine	18 to 24	118000	118000	61000	50000
Maine	25 to 34	134000	131000	93000	78000
Maine	35 to 44	157000	149000	117000	101000
Maine	45 to 64	413000	407000	329000	300000
Maine	65+	219000	215000	187000	170000
Maryland	18 to 24	585000	558000	301000	246000
Maryland	25 to 34	777000	621000	439000	393000
Maryland	35 to 44	721000	590000	434000	396000
Maryland	45 to 64	1557000	1450000	1107000	1025000
Maryland	65+	809000	787000	607000	550000
Massachusetts	18 to 24	694000	633000	395000	316000
Massachusetts	25 to 34	810000	705000	526000	450000
Massachusetts	35 to 44	888000	783000	580000	530000
Massachusetts	45 to 64	1784000	1677000	1424000	1327000
Massachusetts	65+	994000	975000	833000	759000
Michigan	18 to 24	905000	894000	536000	394000
Michigan	25 to 34	1182000	1107000	830000	629000
Michigan	35 to 44	1221000	1136000	900000	768000
Michigan	45 to 64	2676000	2611000	2141000	1906000
Michigan	65+	1512000	1480000	1214000	1134000
Minnesota	18 to 24	531000	510000	329000	303000
Minnesota	25 to 34	650000	596000	435000	384000
Minnesota	35 to 44	701000	659000	518000	478000
Minnesota	45 to 64	1410000	1387000	1151000	1081000
Minnesota	65+	762000	751000	652000	613000
Mississippi	18 to 24	300000	294000	222000	187000
Mississippi	25 to 34	397000	390000	333000	279000
Mississippi	35 to 44	320000	309000	255000	222000
Mississippi	45 to 64	734000	727000	614000	563000
Mississippi	65+	416000	410000	371000	337000
Missouri	18 to 24	525000	520000	332000	223000
Missouri	25 to 34	857000	809000	585000	448000
Missouri	35 to 44	669000	651000	498000	427000
Missouri	45 to 64	1714000	1684000	1344000	1175000
Missouri	65+	755000	745000	624000	545000
Montana	18 to 24	82000	79000	53000	33000
Montana	25 to 34	138000	137000	77000	65000
Montana	35 to 44	109000	105000	69000	62000
Montana	45 to 64	254000	249000	201000	189000
Montana	65+	186000	184000	153000	146000
Nebraska	18 to 24	168000	151000	71000	61000
Nebraska	25 to 34	242000	224000	137000	110000
Nebraska	35 to 44	235000	218000	145000	128000
Nebraska	45 to 64	462000	445000	331000	300000
Nebraska	65+	264000	259000	217000	200000
Nevada	18 to 24	320000	295000	145000	122000
Nevada	25 to 34	364000	310000	189000	158000
Nevada	35 to 44	307000	247000	158000	146000
Nevada	45 to 64	680000	606000	413000	376000
Nevada	65+	369000	350000	270000	246000
New Hampshire	18 to 24	123000	119000	71000	61000
New Hampshire	25 to 34	160000	147000	99000	91000
New Hampshire	35 to 44	150000	143000	100000	90000
New Hampshire	45 to 64	425000	414000	337000	312000
New Hampshire	65+	171000	169000	145000	134000
New Jersey	18 to 24	792000	707000	379000	276000
New Jersey	25 to 34	1068000	842000	556000	475000
New Jersey	35 to 44	1186000	939000	655000	536000
New Jersey	45 to 64	2424000	2217000	1732000	1545000
New Jersey	65+	1259000	1224000	1004000	838000
New Mexico	18 to 24	177000	163000	84000	66000
New Mexico	25 to 34	286000	248000	157000	130000
New Mexico	35 to 44	257000	224000	139000	123000
New Mexico	45 to 64	588000	551000	414000	390000
New Mexico	65+	246000	240000	185000	169000
New York	18 to 24	2028000	1790000	926000	710000
New York	25 to 34	2775000	2171000	1387000	1145000
New York	35 to 44	2334000	1871000	1288000	1133000
New York	45 to 64	5217000	4706000	3381000	3046000
New York	65+	2712000	2543000	1904000	1642000
North Carolina	18 to 24	863000	779000	496000	389000
North Carolina	25 to 34	1220000	1021000	816000	676000
North Carolina	35 to 44	1320000	1172000	919000	792000
North Carolina	45 to 64	2470000	2373000	1925000	1710000
North Carolina	65+	1390000	1366000	1138000	1057000
North Dakota	18 to 24	67000	66000	43000	32000
North Dakota	25 to 34	111000	106000	74000	62000
North Dakota	35 to 44	71000	69000	55000	44000
North Dakota	45 to 64	194000	190000	148000	129000
North Dakota	65+	85000	84000	64000	61000
Ohio	18 to 24	1145000	1105000	629000	511000
Ohio	25 to 34	1413000	1352000	917000	772000
Ohio	35 to 44	1340000	1274000	903000	772000
Ohio	45 to 64	3213000	3179000	2325000	2159000
Ohio	65+	1640000	1640000	1302000	1181000
Oklahoma	18 to 24	325000	323000	130000	88000
Oklahoma	25 to 34	567000	540000	296000	184000
Oklahoma	35 to 44	433000	418000	281000	212000
Oklahoma	45 to 64	1001000	980000	720000	602000
Oklahoma	65+	483000	473000	378000	345000
Oregon	18 to 24	391000	364000	216000	186000
Oregon	25 to 34	461000	399000	256000	215000
Oregon	35 to 44	527000	479000	345000	296000
Oregon	45 to 64	1004000	961000	756000	709000
Oregon	65+	616000	604000	513000	491000
Pennsylvania	18 to 24	1198000	1137000	645000	478000
Pennsylvania	25 to 34	1543000	1442000	984000	790000
Pennsylvania	35 to 44	1520000	1442000	1054000	928000
Pennsylvania	45 to 64	3674000	3547000	2648000	2331000
Pennsylvania	65+	1913000	1883000	1463000	1297000
Rhode Island	18 to 24	99000	89000	61000	45000
Rhode Island	25 to 34	121000	108000	70000	58000
Rhode Island	35 to 44	150000	127000	89000	76000
Rhode Island	45 to 64	290000	272000	213000	185000
Rhode Island	65+	158000	155000	119000	105000
South Carolina	18 to 24	474000	451000	265000	243000
South Carolina	25 to 34	510000	476000	364000	293000
South Carolina	35 to 44	601000	561000	405000	343000
South Carolina	45 to 64	1319000	1289000	956000	866000
South Carolina	65+	612000	604000	489000	442000
South Dakota	18 to 24	95000	94000	52000	31000
South Dakota	25 to 34	103000	101000	65000	46000
South Dakota	35 to 44	82000	79000	64000	53000
South Dakota	45 to 64	204000	202000	167000	145000
South Dakota	65+	132000	130000	106000	96000
Tennessee	18 to 24	610000	590000	306000	207000
Tennessee	25 to 34	833000	773000	517000	395000
Tennessee	35 to 44	783000	739000	514000	402000
Tennessee	45 to 64	1607000	1563000	1081000	904000
Tennessee	65+	1016000	1013000	793000	698000
Texas	18 to 24	2538000	2249000	971000	572000
Texas	25 to 34	3695000	2965000	1734000	1228000
Texas	35 to 44	3445000	2748000	1839000	1473000
Texas	45 to 64	6115000	5429000	3981000	3399000
Texas	65+	2849000	2671000	2225000	1971000
Utah	18 to 24	279000	263000	115000	97000
Utah	25 to 34	446000	407000	236000	194000
Utah	35 to 44	357000	307000	182000	161000
Utah	45 to 64	592000	576000	396000	375000
Utah	65+	242000	240000	208000	195000
Vermont	18 to 24	61000	59000	30000	23000
Vermont	25 to 34	69000	68000	41000	30000
Vermont	35 to 44	78000	76000	53000	46000
Vermont	45 to 64	195000	193000	153000	133000
Vermont	65+	93000	91000	79000	75000
Virginia	18 to 24	695000	612000	351000	292000
Virginia	25 to 34	1192000	1026000	698000	605000
Virginia	35 to 44	989000	889000	717000	634000
Virginia	45 to 64	2140000	2050000	1591000	1473000
Virginia	65+	1079000	1069000	853000	774000
Washington	18 to 24	563000	511000	275000	215000
Washington	25 to 34	1017000	911000	596000	488000
Washington	35 to 44	916000	809000	649000	577000
Washington	45 to 64	1660000	1570000	1183000	1101000
Washington	65+	1074000	1032000	830000	791000
West Virginia	18 to 24	163000	162000	78000	37000
West Virginia	25 to 34	213000	210000	131000	66000
West Virginia	35 to 44	237000	237000	162000	111000
West Virginia	45 to 64	479000	475000	326000	253000
West Virginia	65+	361000	359000	286000	222000
Wisconsin	18 to 24	539000	513000	308000	287000
Wisconsin	25 to 34	699000	662000	475000	438000
Wisconsin	35 to 44	714000	695000	548000	514000
Wisconsin	45 to 64	1552000	1532000	1224000	1192000
Wisconsin	65+	847000	845000	763000	697000
Wyoming	18 to 24	56000	55000	21000	18000
Wyoming	25 to 34	73000	71000	44000	39000
Wyoming	35 to 44	68000	66000	41000	36000
Wyoming	45 to 64	155000	154000	101000	95000
Wyoming	65+	74000	73000	61000	59000

Expert Solution

As per the above data we can see voters age 45 + 64 is 39% voting is done means highest voting is done between 45 + 64 age compare to other ages. please see the below details so we can see Exactly voting details.

Age

Sum of Total Population

Sum of Citizen Population

Sum of Registered Voters

Sum of Confirmed Voters

Difference between Registered Voters and Confirmed Voters

Percentage %

18 to 24

29,881,000.00

27,537,000.00

14,767,000.00

11,351,000.00

3,416,000.00

8.54

25 to 34

41,145,000.00

35,474,000.00

23,436,000.00

18,978,000.00

4,458,000.00

14.27

35 to 44

39,624,000.00

34,266,000.00

24,458,000.00

20,965,000.00

3,493,000.00

15.77

45 to 64

82,085,000.00

76,641,000.00

57,797,000.00

52,013,000.00

5,784,000.00

39.12

65+

42,514,000.00

41,167,000.00

32,695,000.00

29,645,000.00

3,050,000.00

22.30

Grand Total

235,249,000.00

215,085,000.00

153,153,000.00

132,952,000.00

20,201,000.00

keosha answered 2 years ago

1. The basic data structure for a Pivot Table is A. a pie chart B. a...

1. The basic data structure for a Pivot Table is A. a pie chart B. a line chart C. a decision variable D. an uncontrollable E. a multidimensional cube 2. Which traits can describe big data? A. All of the above B. None of the above C. High speed D. High variety E. High volume 3. When you only have one data series to visualize, you do need to add a legend. True False 4. Which of the following would...

What is the advantage of using a Pivot Chart to a regular chart in exel?

Is there a way to make a pivot table from a data set to show the...

Is there a way to make a pivot table from a data set to show the following: - make gender the columns (one column for male and one for female) - rows are age increments (18 - 30, 31 - 40, 41 - 50, 51 - 60, 61 - 70) - information provided within the pivot table is the average salary of everyone within the age increment (for example, I want to find the average salary of a male between...

Create a Pivot Table to compile the following information: 1. The total revenue for each salesperson...

Create a Pivot Table to compile the following information: 1. The total revenue for each salesperson 2. For each salesperson, the total revenue by product 3. Total revenue generated by each salesperson broken down by location Please provide excel formulas and solutions https://drive.google.com/open?id=16kL_VoQlIsOCaioggkjnGBFR_GvCrSGM

Choose a pivot using the median of 3 technique and show the result after 1 pass...

Choose a pivot using the median of 3 technique and show the result after 1 pass of quicksort (stop just before choosing a 2nd pivot) for the list [ 85, 40,60, 30, 55, 63, 70, 75 ,25]

Write down the initial simplex table for the following problem. Find the first pivot column and...

Write down the initial simplex table for the following problem. Find the first pivot column and the first pivot. Do not complete the simplex algorithm. A department store has up to 16000TL to spend on television advertising for sale. All ads will be placed with one television station. A 30-second ad costs 1000TL on daytime TV and is viewed by 14000 potential customers, 1800TL on prime-time TV and is viewed by 18000 potential customers, and 1500TL on late-night TV and...

Please show steps 2.54 Using the ASHRAE Psychrometric Chart complete the following table: Dry Bulb, °F...

Please show steps 2.54 Using the ASHRAE Psychrometric Chart complete the following table: Dry Bulb, °F Wet Bulb, °F Dew Point, °F Humidity Ratio, lbv/lba Relative Humidity, % Enthalpy, Btu/lbair Specific Volume, ft3/lbair 80 13.8 70 55 100 70 40 40 0.01 13.8 60 40 40 20 60 30 85 0.012 80 80

Problem 6-2 Using the appropriate interest table, provide the solution to each of the following four...

Problem 6-2 Using the appropriate interest table, provide the solution to each of the following four questions by computing the unknowns. Click here to view factor tables What is the amount of the payments that John Winslow must make at the end of each of 10 years to accumulate a fund of $95,100 by the end of the 10th year, if the fund earns 10% interest, compounded annually? (Round factor values to 5 decimal places, e.g. 1.25124 and final answer...

The following table provides the project annual budget, total number of projects, and total number of...

The following table provides the project annual budget, total number of projects, and total number of people working on the projects for City of Killingcovid annually: Year Annual Budget (in millions) Number of Projects Number of People Working on the Projects 1997 9.93 2 6 1998 7.34 8 47 1999 6.82 4 134 2000 7 2 291 2001 7.31 7 279 2002 7.86 6 82 2003 8.44 4 65 2004 7.61 5 34 2005 7.8 1 14 2006 8.6 4...

2. If total utility is not listed in a chart showing the number of apples consumed...

2. If total utility is not listed in a chart showing the number of apples consumed a. it is impossible to determine. b. it can be indirectly calculated by looking at total costs. c. it still can be determined by adding the sums of all the marginal utilities. d. both b) and c) are correct. 3. The rational economic being who compares costs and benefits a. does not think about the marginal costs and benefits, only the total costs and...