24th Annual Student Research & Creative Activities Symposium

Abstract Submission Guidelines

Abstracts submitted must use Times New Roman font with a font size of 12. The text of the abstract begins two line spaces below the title, author and contact information. The body of the abstract should be single spaced and fully justified. It should not be less than 350 words and should not exceed one page. It must be formatted correctly and contain the following:

***********************************************************************

RESEARCH ABSTRACT FORMAT

TITLE IN BOLDFACED UPPERCASE LETTERS CENTERED ON THE PAGE

Presenting Author(s) (First, Middle Initial, Last), Additional Authors (if applicable), Faculty Sponsor*,

Faculty Sponsor’s Department

Department of (Major).

The abstract must contain sufficient information to clearly identify: research objective(s) of the project; the significance or importance of the project; the methodology(s) used; and the projected or completed results and conclusions.

**********************************************************************

CREATIVE ACTIVITIES* ABSTRACT FORMAT

TITLE IN BOLDFACED UPPERCASE LETTERS CENTERED ON THE PAGE

Presenting Author(s) (First, Middle Initial, Last), Additional Authors (if applicable), Faculty Sponsor*,

Faculty Sponsor’s Department

Department of (Major).

The abstract must identify: the medium of the project; a description of the project and the presentation; the intended artistic message, if applicable; and the estimated length of presentation not to exceed ½ hour. To support the abstract, photographs, audio tapes, or additional written materials may be included.

*Creative activities may include (but are not limited to) painting, sculpture, photography, music, theater, dance, poetry, creative writing, film, or video.

************************************************************************

The above criteria will greatly assist the Symposium Steering Committee in their review process and serve as the basis for the selection of the abstracts.

Car Inventory

Find the total cost, the new cost after tax and the accounting cost after 25% depreciation
Car Price Discount New Price Number of units Total
2004 Mazda RX8 $ 5,800.00 3
2012 Nissan Altima $ 9,755.00 5
2014 Scion tC $ 10,495.00 7
2011 Nissan Altima $ 10,981.00 8
2015 Scion tC $ 11,888.00 1
2015 Honda Civic LX $ 12,787.00 2
Total Cost
8.5% Tax
Total
25% depreciation
New Total
CAR 1 AND 2 GET 10% DISCOUNT
CAR 3 AND 4 GET 15% DISCOUNT
CAR 5 AND 6 GET 25% DISCOUNT

Freq dist data

Disorganized
Fifty staff members of a construction company were surveyed to find out what their weekly salary 466
was to the nearest dollar. The results are as follows: 470
a) Choose an 7 classes interval and present these data in a frequency distribution table. 486
b) Find the class width 490
c) Find the class limits 543
d) Find the midpoint 519
d) Find the frequencies 527
e) Find the relative frequency of the class 470
f) Find the cummulative frequency of a the class 440
g) Build the histogram based on the frequency and the relative frequencies, using the midpoints 564
h) Build a frequency poligon 499
i) Build a cummulative frequency graph (ogive) 523
484
463
461
437
555
525
461
539
521
517
463
478
473
514
542
519
522
523
546
487
486
473
514
476
497
511
484
513
471
470
441
466
443
481
502
528
459
548
ERROR:#REF!

Charts & Graphs

Construct a stem and leaf plot Pie Chart Use only the columns for GDPpc and Life Expectancy to create your scatter plot
437 Stems Leaf Leaf Leaf Leaf Leaf SCATTER PLOT
440 Majors Frequency Relative Frequency Country GDPpc (X) Life expectancy (Y)
441 Economics 581 Sierra Leone 500 42.84
443 Marketing 880 Somalia 500 47.34
459 HRM 763 Tanzania 600 44.56
461 Finance 621 Burundi 600 43.2
461 Accounting 845 Gaza Strip 600 71.4
463 Malawi 600 37.98
463 Congo, Rep 700 50.02
466 Congo, Dem Rep 700 48.93
466 Ethiopia 700 41.24
470 Afghanistan 800 46.97
470 Niger 800 42.21
470 Guinea-Bissau 800 46.97
471 Madagascar 800 56.14
473 Yemen 800 60.97
473 Zambia 800 35.25
476 Nigeria 900 51.01
478 Mali 900 45.43
481 Liberia 1000 48.15
484 Kenya 1000 45.22
484 Tajikistan 1000 64.37
486 Burkina Faso 1100 44.46
486 West Bank 1100 72.68
487 Benin 1100 51.08
490 Central African Republic 1100 41.71
497 Chad 1200 48.51
499 Mozambique 1200 31.3
502 Pareto Chart Sao Tome and Principe 1200 66.28
511 Rwanda 1300 39.33
513 Majors Frequency Korea, North 1300 70.79
514 Economics 581 Cote d'Ivoire 1400 42.65
514 Marketing 880 Nepal 1400 59
517 HRM 763 Bhutan 1400 53.58
519 Finance 621 Uganda 1400 44.88
519 Accounting 845 Togo 1500 53.43
521 Iraq 1500 67.81
522 Kyrgyzstan 1600 63.66
523 Haiti 1600 51.61
523 Senegal 1600 56.37
Uzbekistan 1700 64
Laos 1700 54.3
Gambia, The 1700 54.38
Cameroon 1800 48.05
Burma 1800 55.79
Moldova 1800 64.88
Mauritania 1800 51.93
Mongolia 1800 63.81
Bangladesh 1900 61.33
Angola 1900 36.96
Cambodia 1900 57.92
Sudan 1900 57.73
Zimbabwe 1900 39.01
Guinea 2100 49.54
Pakistan 2100 62.2
Papua New Guinea 2200 64.19
Ghana 2200 56.53
Nicaragua 2300 69.68
Bolivia 2400 64.78
Georgia 2500 64.76
Vietnam 2500 70.05
Honduras 2600 66.65
Mayotte 2600 60.6
India 2900 63.62
Vanuatu 2900 61.71
Cuba 2900 76.8
Lesotho 3000 36.94
Indonesia 3200 68.94
Ecuador 3300 71.89
Syria 3300 69.39
Azerbaijan 3400 63.16
Armenia 3500 66.68
Sri Lanka 3700 72.62
Jamaica 3900 75.85
Morocco 4000 70.04
Suriname 4000 69.23
Egypt 4000 70.41
Guyana 4000 63.09
Guatemala 4100 65.23
Jordan 4300 77.88
Albania 4500 72.37
Philippines 4600 69.29
Paraguay 4700 74.4
Lebanon 4800 72.07
El Salvador 4800 70.62
Venezuela 4800 73.81
Swaziland 4900 39.47
China 5000 72.22
Peru 5100 70.88
Ukraine 5400 66.5
Gabon 5500 57.12
Dominica 5500 74.12
Fiji 5800 68.88
Turkmenistan 5800 61.19
Dominican Republic 6000 67.96
Algeria 6000 70.54
Bosnia and Herzegovina 6100 72.29
Belarus 6100 68.43
Colombia 6300 71.14
Panama 6300 72.32
Kazakhstan 6300 63.48
Libya 6400 76.07
Macedonia 6700 74.49
Turkey 6700 71.8
Tunisia 6900 74.4
Romania 7000 70.62
Iran 7000 69.35
Namibia 7200 42.77
Thailand 7400 71.24
Brazil 7600 71.13
Bulgaria 7600 71.8
Guadeloupe 7900 77.53
French Guiana 8300 76.69
Russia 8900 67.66
Botswana 9000 32.26
Mexico 9000 72.3
Malaysia 9000 71.67
Costa Rica 9100 76.43
Trinidad and Tobago 9500 69.59
Chile 9900 76.35
Latvia 10200 69.31
Croatia 10600 74.37
South Africa 10700 46.56
Poland 11100 73.91
Argentina 11200 75.48
Netherlands Antilles 11400 75.38
Mauritius 11400 71.8
Lithuania 11400 69.6
Saudi Arabia 11800 68.73
Estonia 12300 70.31
Uruguay 12800 75.87
Oman 13100 72.58
Slovakia 13300 74.43
Hungary 13900 72.17
Martinique 14400 78.72
New Caledonia 15000 73.52
Czech Republic 15700 75.18
Barbados 15700 71.84
Bahamas, The 16700 65.71
Puerto Rico 16800 77.26
Bahrain 16900 73.72
French Polynesia 17500 75.45
Malta 17700 78.43
Korea, South 17800 75.36
Portugal 18000 76.35
Kuwait 19000 76.65
Slovenia 19000 75.51
Macau 19400 81.87
Israel 19800 79.02
Greece 20000 78.89
Qatar 21500 73.14
New Zealand 21600 78.32
Spain 22000 79.23
United Arab Emirates 23200 74.75
Taiwan 23400 76.87
Brunei 23600 74.3
Singapore 23700 80.42
Italy 26700 79.4
Andorra 26800 83.49
Sweden 26800 79.97
Finland 27400 77.92
France 27600 79.28
Germany 27600 78.42
United Kingdom 27700 78.16
Japan 28200 80.93
Isle of Man 28500 77.98
Netherlands 28600 78.74
Hong Kong 28800 79.93
Australia 29000 80.13
Belgium 29100 78.29
Ireland 29600 77.35
Canada 29800 79.83
Austria 30000 78.17
Iceland 30900 79.8
Denmark 31100 77.1
Switzerland 32700 79.99
Bermuda 36000 77.41
Norway 37800 79.09
United States 37800 77.14
Jersey 40000 78.93
Guernsey 40000 80.04
Luxembourg 55100 77.66

time series

Volume Moving Average
24-Feb-14 23,874,000
21-Feb-14 26,881,700
20-Feb-14 25,234,100
19-Feb-14 30,294,400
18-Feb-14 16,217,800
14-Feb-14 18,780,600
13-Feb-14 20,639,800
12-Feb-14 23,626,300
11-Feb-14 22,982,800
10-Feb-14 19,630,100
7-Feb-14 37,875,700
6-Feb-14 33,905,600
5-Feb-14 32,535,500
4-Feb-14 31,286,900
3-Feb-14 42,977,600
31-Jan-14 33,425,100
30-Jan-14 39,940,700
29-Jan-14 54,018,100
28-Jan-14 24,780,900
27-Jan-14 39,675,300
24-Jan-14 59,057,100
23-Jan-14 34,832,200
22-Jan-14 20,841,100
21-Jan-14 27,567,400
17-Jan-14 33,934,500
16-Jan-14 62,946,800
15-Jan-14 33,688,100
14-Jan-14 17,771,000
13-Jan-14 21,110,300
10-Jan-14 22,485,900
9-Jan-14 21,803,700
8-Jan-14 25,989,800
7-Jan-14 28,840,400
6-Jan-14 28,503,100
3-Jan-14 26,884,900
2-Jan-14 16,479,700
31-Dec-13 10,706,800
30-Dec-13 11,506,000
27-Dec-13 11,814,500
26-Dec-13 8,882,900
24-Dec-13 5,302,600
23-Dec-13 13,627,500
20-Dec-13 27,871,300
19-Dec-13 20,156,300
18-Dec-13 32,921,300
17-Dec-13 17,951,700
16-Dec-13 20,312,000
13-Dec-13 16,743,600
12-Dec-13 27,240,800
11-Dec-13 24,600,000
10-Dec-13 20,025,700
9-Dec-13 16,653,500
6-Dec-13 19,714,300
5-Dec-13 23,556,900
4-Dec-13 32,108,800
3-Dec-13 20,588,400
2-Dec-13 19,854,900
29-Nov-13 10,952,100
27-Nov-13 13,075,200
26-Nov-13 17,661,000
25-Nov-13 32,610,000
22-Nov-13 26,051,300
21-Nov-13 22,868,900
20-Nov-13 18,347,200
19-Nov-13 20,113,300
18-Nov-13 26,353,400

central Tend & Var

Date Close x-(x-bar) use the dollar sign as $A$32 [x-(x-bar)]^2 Weighted Mean
11/26/18 7330.540039
12/3/18 6969.25 Budget
12/10/18 6910.660156
12/17/18 6332.990234 Rate of Return (x) weight (w) (x)*(w)
12/24/18 6584.52002 Investmen A 10% 0.50
12/31/18 6738.859863 Investment B 6% 0.15
1/7/19 6971.47998 Investmen C 3% 0.20
1/14/19 7157.22998 Investmen D 20% 0.10
1/21/19 7164.859863 Investmen E 15% 0.05
1/28/19 7263.870117 1.00 Sum (x*w)
2/4/19 7298.200195 Rate of Investment [Sum (x*w)]/w
2/11/19 7472.410156
2/18/19 7527.540039
2/25/19 7595.350098
3/4/19 7408.140137
3/11/19 7688.529785
3/18/19 7642.669922
3/25/19 7729.319824
4/1/19 7938.689941
4/8/19 7984.160156 Mean for frequency distribution
4/15/19 7998.060059 Lower Limit Upper Limit Midpoint (x) Frequency (f) (x)*(f)
4/22/19 8146.399902 100 199 5
4/29/19 8164 200 299 9
5/6/19 7916.939941 300 399 12
5/13/19 7816.279785 400 499 10
5/20/19 7637.009766 500 599 8
5/24/19 7637.008789 600 699 4
MINIMUM sum of squares 700 799 2
MAXIMUM Variance (sum of squares divided by n-1) Total Freq 50 Sum (x)*(f)
RANGE Standard Deviation (Squared root of Variance) Freq Dist Mean [Sum (x)*(f)]/n
SAMPLE MEAN (x-bar)
MEDIAN
MODE
SAMPLE VARIANCE
SAMPLE STANDARD DEVIATION

QUARTILE-PERCENTILE

https://www.worldatlas.com/citypops.htm
OPEN THIS WEBSITE. COPY AND PASTE THE INFORMATION FOR THE 150 LARGEST CITIES
PROVIDE THE VALUES FOR THE QUARTILES AND THE 5 POINT SUMMARY
IDENTIFY PERCENTILE 65
WHAT PERCENTILE REPRESENTS CHICAGO, USA
https://www.worldatlas.com/citypops.htm

Fact, Permut, Combin

FACTORIAL
Excel Function
0!
1!
5!
10!
15!
20!
(8!*15!)/7!
https://www.youtube.com/watch?v=KwIHas6Q3Uo
PERMUTATION
Excel Function n r Use formula --> Formula= n!/(n-r)! or =FACT(n)/((FACT(n-r)))
30P2  30 2
17P5  17 5
10P3  10 3
25P22  25 22
COMBINATION
Excel Function n r Use formula Formula= n!/(r!*(n-r)!) or =FACT(n)/((FACT(r)*FACT(n-r)))
30C2 30 2
17C5 17 5
10C3 10 3
25C22 25 22
https://www.youtube.com/watch?v=KwIHas6Q3Uo

Discrete Prob

DISCRETE PROBABILITY BINOMIAL DISTRIBUTION
Watch the following video presentation on how to build a BINOMIAL table:
x P(x) x P(x) x-Mu x-Mu^2 x-Mu^2*P(x)
0 0.0167 https://www.youtube.com/watch?v=JsDgLF0Npww  (part 1)
1 0.0896 https://www.youtube.com/watch?v=KcywOUZDP8s (part 2)
2 0.209 Unusual?
3 0.2787 trials n 9 np (mean) μ = np Bell Shape Lower Upper
4 0.2322 Success Probability p 0.75 St Dev
5 0.1239 np*(1-p)>=10 m - 2 s m + 2 s
6 0.0413
7 0.0079
8 0.0007 P(more than 3)=
Variance P(less than 7)
Expected Value StDev P(at least 5)=
or Mean P(5)=
P(at most 5)=
Histogram type =binom.dist(x,n,p,false) Number Successes Probability Cumulative Probability (*) HISTOGRAM:
type =binom.dist(x,n,p,true) 0
1
2
3
4
5
6
7
8
9
(*) Same formula but using the statement "TRUE" 0
POISSON DISTRIBUTION GEOMETRIC DISTRIBUTION HYPERGEOMETRIC DISTRIBUTION
https://www.youtube.com/watch?v=CRroD7Mdv0o https://www.youtube.com/watch?v=_2E9lIoetFo https://www.youtube.com/watch?v=NMeVWPdo7e4
Build your POISSON tables and histograms: Go to the end of chapter 4 and select 3 problems for the Geometric Distribution Go to the end of chapter 4 and select 3 problems for the Hypergeometric Distribution
Go to the end of chapter 4, then select 3 exercises for the POISSON Distirbution Use excel (as in the video) to obtain the results Use excel (as in the video) to obtain the results
X P(x) X P(x) X P(x) a) b) c)
https://www.youtube.com/watch?v=JsDgLF0Npww%20%20%C2%A0(part%201) https://www.youtube.com/watch?v=KcywOUZDP8s%20%20%20(part%202) https://www.youtube.com/watch?v=CRroD7Mdv0o https://www.youtube.com/watch?v=_2E9lIoetFo https://www.youtube.com/watch?v=NMeVWPdo7e4

Continuous Prob

UNIFORM DISTRIBUTION EXPONENTIAL DISTRIBUTION
https://www.youtube.com/watch?v=mkcCFtgMSmg https://www.youtube.com/watch?v=NSpBjtrIKqM
https://www.youtube.com/watch?v=fpb96YOb5gs
Build your Uniform Distribuitions
Go to the end of chapter 5, then select 3 exercises Build your Exponential Distributions
Go to the end of chapter 5, then select 3 exercises
https://www.youtube.com/watch?v=mkcCFtgMSmg https://www.youtube.com/watch?v=NSpBjtrIKqM https://www.youtube.com/watch?v=fpb96YOb5gs

! ( )

( )! ! x n x x n x

n x n

P x C p q p q n x x

- -= = -

!

()

() !!

xnx xnx

nx

n

Px Cpq pq

nx x

--

==

-

npqs =

npqs=

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