Sheet1AgesAges10050Column1Column195459040Mean77.5Mean27.58535Standard Error4.7871355388Standard Error4.78713553888030Median77.5Median27.57525ModeERROR:#N/AModeERROR:#N/A7020Standard Deviation15.1382517705Standard Deviation15.13825177056515Sample Variance229.1666666667Sample Variance229.16666666676010Kurtosis-1.2Kurtosis-1.2555Skewness0Skewness0Range45Range45Minimum55Minimum5Maximum100Maximum50Sum775Sum275Count10Count10Confidence Level(95.0%)10.8292529483Confidence Level(95.0%)10.8292529483Coefficient of Variation20%Coefficient of Variation55%395485Column1Column1400254500330Mean465.5Mean444.6600265Standard Error79.6902684704Standard Error86.4465409629786123Median425Median407.5923585ModeERROR:#N/AModeERROR:#N/A101741Standard Deviation252.0027557169Standard Deviation273.3679652857200963Sample Variance63505.3888888889Sample Variance74730.0444444444450564Kurtosis-0.1124962144Kurtosis-0.3204417367300136Skewness0.5106746064Skewness0.632384647Range822Range840Minimum101Minimum123Maximum923Maximum963Sum4655Sum4446Count10Count10Confidence Level(95.0%)180.2719116257Confidence Level(95.0%)195.5556618383Coefficient of Variation54%Coefficient of Variation61% Sheet1PolandCitiesNameAdministrative RegionsPopulationPopulationPopulationPopulationPopulation31/Dec/198031/Dec/199220/May/200231/Mar/201131/Dec/2013Aleksandrów ŁódzkiLOD17,00020,25120,22021,08521,245AndrychówMAL19,40023,14422,18721,53021,111AugustówPOD24,30029,08929,70530,80230,610BartoszyceWAR20,70025,69425,77125,02224,527BędzinSLA75,00064,11759,21059,06958,425BełchatówLOD27,70058,31463,12260,48559,565Biała PodlaskaLUB39,60055,06558,31158,00957,658BiałogardZAC22,50024,43724,54424,91924,722BiałystokPOD224,200274,095291,383294,001295,282BielawaDOL32,30034,85132,01731,69931,186Bielsko-BiałaSLA163,800179,689178,028174,534173,699Bielsk PodlaskiPOD20,70026,60527,11526,67926,336BieruńSLA…21,83020,09419,87619,696BiłgorajLUB20,60025,99126,38027,29127,169BochniaMAL24,40029,24529,38830,18730,219BolesławiecDOL39,80044,57341,57940,20939,603BrodnicaKUJ22,00026,95327,25228,41628,579BrzegOPO35,80039,39639,02337,43836,980BydgoszczKUJ348,600383,568373,804363,926359,428BytomSLA234,300229,243193,546176,902173,439ChełmLUB53,00068,02368,90966,36265,481ChełmnoKUJ19,70021,77720,65520,93420,622ChodzieżWIE18,30020,33519,75019,71519,399ChojnicePOM32,00039,43639,44840,44740,226ChorzówSLA150,100128,832117,430111,692110,761ChrzanówMAL35,60042,12540,88038,82938,117CiechanówMAZ33,80045,05446,45245,48144,797CieszynSLA33,90036,93736,64036,24835,918Czechowice-DziedziceSLA31,50035,60735,15135,44535,684CzeladźSLA35,40036,99534,95733,74532,940Czerwionka-LeszczynySLA26,20029,91928,95628,62628,480CzęstochowaSLA234,700259,556251,436236,796232,318Dąbrowa GórniczaSLA141,400131,552132,236125,905123,994DębicaPDK33,90048,04247,67847,21746,854DziałdowoWAR15,40020,47320,77721,61921,552DzierżoniówDOL36,30038,42835,43734,95234,428ElblągWAR110,200127,324128,134124,668122,899EłkWAR38,20053,80455,22459,04459,790GdańskPOM456,700461,680461,334460,276461,.

1. Sheet1AgesAges10050Column1Column195459040Mean77.5Mea
n27.58535Standard Error4.7871355388Standard
Error4.78713553888030Median77.5Median27.57525ModeERRO
R:#N/AModeERROR:#N/A7020Standard
Deviation15.1382517705Standard
Deviation15.13825177056515Sample
Variance229.1666666667Sample
Variance229.16666666676010Kurtosis-1.2Kurtosis-
1.2555Skewness0Skewness0Range45Range45Minimum55Minim
um5Maximum100Maximum50Sum775Sum275Count10Count10
Confidence Level(95.0%)10.8292529483Confidence
Level(95.0%)10.8292529483Coefficient of
Variation20%Coefficient of
Variation55%395485Column1Column1400254500330Mean465.
5Mean444.6600265Standard Error79.6902684704Standard
Error86.4465409629786123Median425Median407.5923585Mod
eERROR:#N/AModeERROR:#N/A101741Standard
Deviation252.0027557169Standard
Deviation273.3679652857200963Sample
Variance63505.3888888889Sample
Variance74730.0444444444450564Kurtosis-
0.1124962144Kurtosis-
0.3204417367300136Skewness0.5106746064Skewness0.632384
647Range822Range840Minimum101Minimum123Maximum923
Maximum963Sum4655Sum4446Count10Count10Confidence
Level(95.0%)180.2719116257Confidence
Level(95.0%)195.5556618383Coefficient of
Variation54%Coefficient of Variation61%
Sheet1PolandCitiesNameAdministrative
RegionsPopulationPopulationPopulationPopulationPopulation31
/Dec/198031/Dec/199220/May/200231/Mar/201131/Dec/2013Al
eksandrów
ŁódzkiLOD17,00020,25120,22021,08521,245AndrychówMAL1

2. 9,40023,14422,18721,53021,111AugustówPOD24,30029,08929,
70530,80230,610BartoszyceWAR20,70025,69425,77125,02224,
527BędzinSLA75,00064,11759,21059,06958,425BełchatówLOD
27,70058,31463,12260,48559,565Biała
PodlaskaLUB39,60055,06558,31158,00957,658BiałogardZAC22
,50024,43724,54424,91924,722BiałystokPOD224,200274,09529
1,383294,001295,282BielawaDOL32,30034,85132,01731,69931,
186Bielsko-
BiałaSLA163,800179,689178,028174,534173,699Bielsk
PodlaskiPOD20,70026,60527,11526,67926,336BieruńSLA…21,
83020,09419,87619,696BiłgorajLUB20,60025,99126,38027,291
27,169BochniaMAL24,40029,24529,38830,18730,219Bolesławi
ecDOL39,80044,57341,57940,20939,603BrodnicaKUJ22,00026,
95327,25228,41628,579BrzegOPO35,80039,39639,02337,43836
,980BydgoszczKUJ348,600383,568373,804363,926359,428Byto
mSLA234,300229,243193,546176,902173,439ChełmLUB53,000
68,02368,90966,36265,481ChełmnoKUJ19,70021,77720,65520,
93420,622ChodzieżWIE18,30020,33519,75019,71519,399Chojn
icePOM32,00039,43639,44840,44740,226ChorzówSLA150,1001
28,832117,430111,692110,761ChrzanówMAL35,60042,12540,8
8038,82938,117CiechanówMAZ33,80045,05446,45245,48144,7
97CieszynSLA33,90036,93736,64036,24835,918Czechowice-
DziedziceSLA31,50035,60735,15135,44535,684CzeladźSLA35,
40036,99534,95733,74532,940Czerwionka-
LeszczynySLA26,20029,91928,95628,62628,480CzęstochowaSL
A234,700259,556251,436236,796232,318Dąbrowa
GórniczaSLA141,400131,552132,236125,905123,994DębicaPD
K33,90048,04247,67847,21746,854DziałdowoWAR15,40020,47
320,77721,61921,552DzierżoniówDOL36,30038,42835,43734,9
5234,428ElblągWAR110,200127,324128,134124,668122,899Ełk
WAR38,20053,80455,22459,04459,790GdańskPOM456,700461,
680461,334460,276461,531GdyniaPOM236,400250,171253,458
249,139248,042GiżyckoWAR24,10029,55829,73530,17829,947
GliwiceSLA197,500214,389203,814187,474185,450GłogówDO
L53,70073,38470,49069,60868,997GnieznoWIE62,40070,63070
,02970,32269,883GoleniówZAC19,10022,24822,42122,86922,7

3. 76GorliceMAL23,80029,87229,00528,81928,415Gorzów
WielkopolskiLBU105,900124,551125,914124,534124,344Gosty
ńWIE15,70020,26820,70820,31820,183GostyninMAZ16,00020,
01319,57719,34419,092GrajewoPOD15,80022,05722,89822,521
22,246Grodzisk
MazowieckiMAZ23,30024,83325,80229,36329,907GrudziądzK
UJ90,100103,438100,37698,72697,676GryfinoZAC15,30021,68
021,92821,70021,578HajnówkaPOD19,20024,17922,54522,2742
1,559IławaWAR23,50032,17932,54433,32133,338InowrocławK
UJ66,10079,05177,98676,08675,001JarocinWIE21,20025,66325
,89726,32426,311JarosławPDK36,00041,86540,23539,85739,13
8JasłoPDK30,30038,49837,91637,07136,363Jastrzębie-
ZdrójSLA98,500104,20297,11692,46591,235JaworDOL18,7002
5,38624,76224,34023,937JaworznoSLA89,30098,47496,82694,7
3293,708Jelenia
GóraDOL86,90093,01389,33983,86081,985JózefówMAZ14,600
…16,86919,47619,914KaliszWIE98,900106,551109,498105,386
103,997Kamienna
GóraDOL22,40023,60621,98420,73420,014KatowiceSLA355,10
0359,887327,222310,764304,362Kędzierzyn-
KoźleOPO69,70070,99167,09764,15363,194KętrzynWAR26,200
30,26628,74328,46628,051KielceSWI185,300213,651212,42920
2,196199,870KłodzkoDOL29,20030,83529,17328,75027,997Klu
czborkOPO21,80026,80026,59524,96224,544KnurówSLA40,800
44,72940,58439,59539,090KobyłkaMAZ……17,11019,94020,85
5KołoWIE19,60023,58123,55223,36023,026KołobrzegZAC38,2
0046,15244,94747,12946,897KoninWIE67,70081,46082,35378,
52577,224KońskieSWI18,30021,90721,33820,92020,281Kościa
nWIE21,40024,39224,09824,19424,011KościerzynaPOM18,700
22,93023,10523,76523,701KoszalinZAC93,500110,793108,7091
09,248109,170KozieniceMAZ16,20021,37719,03618,68218,277
Kraków
[Krakow]MAL715,700744,032758,544757,611758,992KraśnikL
UB31,20036,89736,64836,37035,788KrasnystawLUB16,90020,2
9819,74819,69219,539KrosnoPDK39,10049,38048,37247,47147
,223KrotoszynWIE24,20028,41429,35129,62729,397KutnoLOD

4. 41,40050,94048,74146,42945,657KwidzynPOM32,60037,66737,
43938,63238,867Łaziska
GórneSLA19,30023,01122,07022,27922,460LęborkPOM29,2003
5,88235,25235,78935,526ŁęcznaLUB5,80021,15022,16620,703
19,926LegionowoMAZ39,70050,61750,42053,52654,231Legnic
aDOL89,600106,579107,100103,238101,992LesznoWIE49,2006
0,16863,66064,63064,589Łódź
[Lodz]LOD835,700838,367789,318728,892711,332ŁomżaPOD4
0,80061,52763,93663,20362,711ŁowiczLOD25,20031,04030,73
529,88029,420LubańDOL21,20024,26522,85222,30121,921Luba
rtówLUB16,50023,06323,16622,77322,543LubinDOL67,10082,
79478,54475,35774,053LublinLUB304,400350,377357,110349,
103343,598LubliniecSLA22,30026,35624,60124,39424,316Lubo
ńWIE19,70020,36024,72629,83230,676ŁukówLUB24,70031,676
30,81931,04030,757MalborkPOM34,40040,23738,54539,38739,
022MarkiMAZ15,900…21,03227,06629,032MielecPDK43,1006
3,66161,72861,54961,096MikołówSLA33,30036,92838,09639,5
0539,776Mińsk
MazowieckiMAZ28,70034,46836,34139,34739,880MławaMAZ2
3,10029,77629,42230,85930,880MrągowoWAR17,10022,23122,
07422,32422,190MysłowiceSLA79,80093,14075,71275,44675,1
29MyszkówSLA25,50033,92533,23532,81732,619Nakło nad
NoteciąKUJ19,90020,14519,69919,54219,193Nowa
RudaDOL25,40027,31325,07123,89623,236Nowa
SólLBU38,50043,10241,17640,36939,721Nowy Dwór
MazowieckiMAZ22,30026,94827,36128,15628,287Nowy
SączMAL64,10080,48284,47784,29083,943Nowy
TargMAL28,00033,41333,03433,81233,672NysaOPO41,70048,5
4048,14545,68144,899OławaDOL29,20031,70731,15431,84732,
240OleśnicaDOL33,10038,61837,27637,11837,303OlkuszMAL2
8,70040,47838,17337,31936,724OlsztynWAR133,300164,88217
3,102174,645174,675OpocznoLOD15,50021,35422,58922,58322
,188OpoleOPO116,700129,554129,946122,625120,146OrzeszeS
LA18,000…18,66719,53920,000OstródaWAR28,50034,91133,7
6934,06033,963OstrołękaMAZ38,00052,38354,23853,57252,91
7Ostrowiec

5. ŚwiętokrzyskiSWI65,10079,32875,63973,68172,277Ostrów
MazowieckaMAZ17,50021,33322,43122,84222,796Ostrów
WielkopolskiWIE62,50074,07573,56872,81072,890OświęcimM
AL44,90044,87441,94640,34239,664OtwockMAZ47,40043,2014
2,62144,80845,044OzorkówLOD19,50021,93621,02220,50720,1
75PabianiceLOD70,50076,01472,97469,17767,688PiasecznoMA
Z23,00024,46833,03142,37844,869PiastówMAZ20,40023,52423
,51022,96622,826Piekary
ŚląskieSLA64,30067,74360,90957,91757,148PiłaWIE58,90074,
43375,07474,77574,609PionkiMAZ17,20021,79120,38719,8401
9,382Piotrków
TrybunalskiLOD72,10081,32080,97976,71775,903PłockMAZ10
2,600125,005128,361124,553122,815PłońskMAZ16,20022,2732
2,24522,56522,494PoliceZAC24,80033,63134,52234,03633,625
PolkowiceDOL18,00021,18521,86922,80222,638PoznańWIE552
,900582,919578,886554,696548,028PrudnikOPO22,50024,5102
3,68122,25621,778Pruszcz
GdańskiPOM18,50021,09322,72427,78728,858PruszkówMAZ49
,30052,94454,50558,14459,570PrzemyślPDK61,30068,30468,09
565,00063,638PszczynaSLA35,90034,07325,77426,06625,999P
uławyLUB46,00054,28650,60749,94149,100PyskowiceSLA20,4
0021,92419,57418,77018,642RacibórzSLA55,50064,32759,4955
6,28955,930RadomMAZ191,100230,374229,699221,287218,466
RadomskoLOD40,40050,90149,86148,36247,643RawiczWIE19,
00021,41221,46621,18320,846RedaPOM……17,46821,57923,13
5Ruda
ŚląskaSLA159,100167,685150,595142,510141,521RumiaPOM2
6,70038,37943,69746,71447,374RybnikSLA122,700143,125142,
731140,924140,173RydułtowySLA…24,07522,04722,07021,847
RzeszówPDK121,300156,739160,376179,386183,108Sandomier
zSWI20,50026,39025,63324,89424,552SanokPDK30,80041,020
40,03939,51139,027SiedlceMAZ54,80072,96376,65676,33376,3
47Siemianowice
ŚląskieSLA77,10079,63174,26970,17068,844SieradzLOD31,300
43,82144,63643,90343,356Skarżysko-
KamiennaSWI43,70051,34150,46448,58047,538SkawinaMAL21

6. ,20023,90423,81224,25324,260SkierniewiceLOD32,40047,1884
8,53748,62248,634SłupskPOM86,100102,03699,94395,88293,9
36SochaczewMAZ32,00039,42038,36538,14137,480SopotPOM5
1,30044,97841,92738,69037,903SosnowiecSLA246,100251,279
232,622216,420211,275ŚremWIE21,90028,91230,39430,34330,
152Środa
WielkopolskaWIE17,40021,07321,59622,32522,572Stalowa
WolaPDK54,80071,17367,55565,18263,692StarachowiceSWI49,
00057,28554,61552,35951,158Stargard
SzczecińskiZAC59,20072,19171,36769,96669,328Starogard
GdańskiPOM44,20050,13049,03749,19148,621Strzelce
OpolskieOPO19,70021,90020,83918,86818,451SuwałkiPOD40,7
0063,91368,92369,23969,317SwarzędzWIE14,80024,27828,486
30,92831,084ŚwidnicaDOL56,90064,30061,34260,43759,182Św
idnikLUB32,00040,07240,18740,71040,225ŚwiebodziceDOL22,
80024,72623,54023,29223,152ŚwiebodzinLBU18,40022,50621,
92222,16622,064ŚwiecieKUJ22,40026,80625,97526,65026,395Ś
więtochłowiceSLA58,70060,23456,41053,15051,824Świnoujści
eZAC47,10043,25241,79641,48041,371SzczecinZAC388,30041
6,402415,399410,131408,172SzczecinekZAC35,70041,97939,32
840,78740,620SzczytnoWAR23,20027,16726,41925,25424,489T
arnobrzegPDK37,30049,98250,28748,82148,217TarnówMAL10
5,100121,894119,913114,053112,120Tarnowskie
GórySLA66,70076,92062,39360,84760,957TczewPOM53,60059
,86059,85760,88960,610Tomaszów
LubelskiLUB16,30020,76720,46220,51819,983Tomaszów
MazowieckiLOD63,40069,86867,55465,99864,893ToruńKUJ17
4,400201,806211,243204,954203,447TrzebiniaMAL20,300…19,
17220,39220,302TurekWIE23,50030,19829,90929,05928,100Ty
chySLA166,600136,643132,816129,378128,799WągrowiecWIE
19,20023,78924,35025,32725,178WałbrzychDOL133,500140,59
5130,268120,715117,926WałczZAC22,80026,54926,47626,4352
6,231Warszawa
[Warsaw]MAZ1,596,1001,644,5151,689,2011,700,6121,724,404
WejherowoPOM42,40047,26644,98949,92250,340WieliczkaMA
L17,100…18,22820,55921,318WieluńLOD18,30025,23824,6452

7. 4,03323,546WłocławekKUJ106,800122,309121,229116,783114,
885Wodzisław
ŚląskiSLA105,50088,36849,78449,34648,731WołominMAZ30,9
0036,35936,48337,39737,505WrocławDOL617,700640,663640,
367630,131632,067WrześniaWIE23,50028,37528,63129,52629,
552WyszkówMAZ16,60024,53226,51127,31227,222ZąbkiMAZ1
7,300…21,86628,85731,884ZabrzeSLA196,000203,524195,2931
81,128178,357ŻagańLBU23,90028,05026,78126,79126,492Zako
paneMAL28,80028,25728,20327,85727,721ZambrówPOD17,400
23,04723,00922,81222,451ZamośćLUB46,80064,27967,16065,9
6665,255ŻaryLBU35,40040,81439,42139,36538,856ZawiercieS
LA62,60056,52154,03752,09151,258Zduńska
WolaLOD39,00045,75445,05644,21343,615ZgierzLOD53,10059
,00458,39358,30657,503ZgorzelecDOL33,30036,50033,79932,5
2531,890Zielona
GóraLBU101,100115,134118,293118,982118,405ŻorySLA47,50
066,18863,46162,09462,038ŻyrardówMAZ37,20043,49941,7344
1,57441,096ŻywiecSLA28,30032,15932,04832,44832,083
Option 2: World Populations
Instructions
Today there are 195 sovereign countries in the world that are
officially recognized. One can choose to look at many types of
data coming from these countries, as there is a plethora of
existing information. For this assignment you will be looking at
populations of cities within Poland at five different times
(depending on when a census was taken). The data for these
cities can be found in the file named Populations. Use all of the
data points for each of the years given, but please note that not
every city has a population for each census.
Prepare a report (see below) using the numerical methods of
descriptive statistics presented in this module to show how the
populations of the cities vary over the years (growth rates). Be
sure to include the following three (3) items in your report.
1. Compute descriptive statistics for each of the years along
with an explanation of what the descriptive statistics tell us

8. about the different years. Are they continually growing, or is
there a decrease in the number of people? The descriptive
statistics will include the mean, mode, range, standard
deviation, and the 5-number summary (minimum, first quartile
(Q1), median (Q2), third quartile (Q3), and maximum).
2. Determine which cities, if any, should be considered outliers
in each of the years? If there are any outliers in any year, please
list them and state for which year each one is an outlier. Use the
z-score method to determine outliers for this question showing
the z-score calculations for each city and year in your
spreadsheet.
3. Determine the correlation coefficient between the first year
and each of the other years. Please provide an explanation of
the relationships. Show your calculations for each correlation
coefficient within the spreadsheet.
Paper Requirements
Write a report that uses the Written Assignment
Requirements under the heading Expectations for CSU-Global
Written Assignments found in theCSU-Global Guide to Writing
and APA (Links to an external site.)Links to an external site..
Items that should be included, at a minimum, are a title page, an
introduction, a body which answers the questions posed in the
problem, and a conclusion paragraph that addresses your
findings and what you have determined from the data and your
analysis. As with all written assignments, you should have in-
text citations and a reference page. Please include any tables of
calculations, calculated values, and graphs associated with this
problem in the body of your assignment response.
Note: You must submit your Excel file with your report. This
will aid in grading with partial credit if errors are found in the
report.
Example of the forum post discussion.
For the two sets of different data points I labeled them as ages

9. 100-50 years and then 50-5 years to show an example of
familiar data to people. I needed something simple so that I
could understand what I was doing and hopefully others as
well. Through Xcel, I was able to use the functions to provide
calculations for the standard deviation as well as the coefficient
of variance for the two sets of data. I chose to enter the
coefficient of variation answers as percentages because I found
that this was most often how the answer is entered instead of a
decimal. I found through research that “Standard deviation is
used to compare variation among similar things and is
calculated by taking the average of all the differences between
each data point compared to the overall average,” and
“coefficient of variation is used to compare dissimilar things
and is calculated by taking standard deviation and dividing it by
the mean,” (Stacy, 2018, para. 6). Personally, I feel that
coefficient of variation shows more variance in their data values
because it’s easier to read when it’s in percentage form. For
example the difference in the two numbers shows a more
obvious difference than the two answers for standard deviation,
which mirror each other. Now when I entered two different sets
of 10 data points and did the calculations again, it was a little
clearer to see an obvious difference in standard deviation points
in order to compare again. I still feel coefficient of variation is
easier to see the variance in in the data values.
Reference:
T. Stacy. (2018). Standard deviation vs. coefficient of
variation. Retrieved
from:https://www.insuranceexamguides.com/standard-deviation-
vs-coefficient-variation/ (Links to an external site.)Links to an
external site.
Sheet1BEER CO DATA 2017BEER CO DATA
2018Description20172018MonthKW Demand/MonthKW
Demand/MonthSum of

10. Samples849828Oct8062Mean84.982.8Sept8787Median8285Aug
8585Sample1010Jul9695Jun8493Standard
Deviation17.91916.748May10082Sample
Variance321.11280.5Apr7881Mar7987Maximum10095Feb8085
Minimum7862Jan8071Range2233MEAN84.982.820172018432.6
447.61139.2434.813.2424.010.6424.014.8424.014.840.8117.640
.0117.640.001104.04123.21148.84228.01Sample
Variance321.18280.50Standard
Deviation17.921516.7481Coefficient of
Variation21.11%20.23%
Module 2: Discussion Forum
No unread replies.No replies.
The coefficient of variation and the standard deviation are two
measures of variability or dispersion among data values.
Provide two different sets of ten data points each as examples.
Calculate the standard deviation and coefficient of variation for
each data set being sure to attach your Excel file to show your
work. Explain which of the two mentioned measures can more
accurately specify which of these two data sets has more
variability or dispersion in their data values, and why.
Respond with thoughtful substantive responses to at least two
classmates postings.