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BCO127 Applied Management Statistics Task
brief
BCO127 Applied Management Statistics
Assignment: The assignment is worth 40% of your marks for
this subject.
Deadline and submission: Your assignment must be submitted
via Turnitin on Moodle before 23:59 on
Sunday 10th May 2020.
Word count: Your work is individual and should be uploaded in
Moodle using Turnitin. Avoid any “copy-
paste” practice to prevent possible problems of plagiarism.
Title: Built on the acquired theoretical and practical knowledge
of the second part of the semester you are
required to solve the following problems:
You must provide an explanation of your results in all your
answers.
1) (15%) For Applied Management Statistics class you want to
know how college students feel
about the transportation system in Barcelona.
a) What is the population in this study?
b) What type of sample would you use and why?
2) (25%) A manager of an e-commerce company would like to
determine average delivery time of
the products. A sample of 25 customers is taken. "The average
delivery time in the sample was
four days. Suppose the delivery times are normally distributed
with a standard deviation of 1.2
days."
a) Provide a 95 % confidence interval for the mean delivery
time.
b) The manager claims that the average delivery time of their
products does not exceed 3 days.
Write the null and alternative hypothesis regarding to the claim
of the manager.
c) Test the manager’s claim at 95 % confidence level.
d) Write the conclusion of your result
3) (15%) For an effective parental skill study, a researcher
asked: How many hours do your kids
watch the television during a typical week in Barcelona? The
mean of 100 Kids (ages 6-11)
spend about 28 hours a week in front of the TV. Suppose the
study follows a normal distribution
with standard deviation 5.
a) Estimate the mean of all kids (ages 6-11) in Barcelona, using
99% confidence interval.
(show all the calculations)
b) Write the conclusion of your result
4) (25%) A regression analysis has been conducted between the
annual income (in 1000 euros) and
the work experience (in years) of people with 0.05 significance
level. The results are summarized
below.
a) Define the independent and dependent variables. What can
you say about the correlation
between them.
BCO127 Applied Management Statistics Task
brief
b) Interpret R Square.
c) Write the regression model and interpret the coefficients.
d) Estimate the average annual income of a person who has 15
years of work experience.
Summary
Table 1.
Regression Statistics
Multiple R 0,93
R Square 0,86
Adjusted R Square 0,82
Standard Error 2,11
Observations 6
Table 2.
df SS MS F Significance F
Regression 1 107,603 107,603 24,276 0,008
Residual 4 17,730 4,432
Total 5 125,333
Table 3.
Coefficients Standard Error t stat p value Lower 95% Upper
95%
Intercept 17,351 3,160 5,491 0,005 8,577 26,124
Variable X 1 1,362 0,276 4,927 0,008 0,595 2,130
5) (20%) In order to analyze the performance of smart phones,
the characteristics of 293 smart
phone models have been recorded. Assume that for the initial
analysis we would like to work
with a sample of 10 observations. Choose a sample consisting
10 different smart phones by
simple random sampling considering the table of random
numbers given in the Appendix. You
can begin from any row or column. Write your explanations for
each step of choice and give a
list of the sampled smart phone models.
1. Apple iPhone 7
2. Apple iPhone 7 Plus
3. Apple iPhone 6 Plus
4. Apple iPhone 6S Plus
5. Apple iPhone 6
6. Apple iPhone 5
7. Apple iPhone 5S
8. Apple iPhone 8
9. Apple iPhone 8 Plus
10. Xiaomi Hong Mi Red Rice
11. Xiaomi Mi 4
12. Xiaomi Mi 4c
13. Xiaomi Mi 4s
14. Xiaomi Mi 5
15. Xiaomi Mi 5s
16. Xiaomi Mi 5s Plus
17. Xiaomi Mi 5c
18. Xiaomi Mi 5 Pro
19. Xiaomi Mi 5X
20. Xiaomi Mi 6
21. Xiaomi Mi Max
22. Xiaomi Mi Max 2
23. Xiaomi Mi Mix
24. Xiaomi Mi Mix 2
25. Xiaomi Mi Note
26. Xiaomi Mi Note 2
27. Xiaomi Mi Note 3
28. Xiaomi Mi Note Pro
29. Xiaomi Mi3
30. Xiaomi Redmi2
31. Xiaomi Redmi3
32. Xiaomi Redmi 3S
33. Xiaomi Redmi4
34. Xiaomi Redmi4A
35. Xiaomi Redmi4X
36. Xiaomi Redmi Note
37. Xiaomi Redmi Note 2
38. Xiaomi Redmi Note 3
39. Xiaomi Redmi Note 4
40. Xiaomi Redmi Note 3 Pro
41. Xiaomi Redmi Note 4X
42. Xiaomi Redmi Note 5A
43. Samsung Galaxy S8 Plus
44. Samsung Galaxy S8
45. Samsung Galaxy S7
46. Samsung Galaxy S7 edge
47. Samsung Galaxy C8
48. Samsung Galaxy C5 Pro
49. Samsung Galaxy C7 Pro
50. Samsung Galaxy C9 Pro
51. Samsung Galaxy C7 SM-C7000
52. Samsung Galaxy C5
53. Samsung Galaxy C7213
54. Samsung Galaxy Core Prime
55. Samsung Galaxy Core 2
56. Samsung Galaxy Core Plus G3500
57. Samsung Galaxy Core Advance
58. Samsung Galaxy J7 Core
59. Samsung Galaxy J7 Pro
60. Samsung Galaxy J5 Pro
61. Samsung Galaxy J7 Max
62. Samsung Galaxy Xcover 4
63. Samsung Galaxy A7
64. Samsung Galaxy A5
65. Samsung Galaxy A3
66. Samsung Galaxy A8
67. Samsung Galaxy J3
68. Samsung Galaxy Grand Prime Plus
69. Samsung Galaxy J7 Prime
70. Samsung Galaxy J5 Prime
71. Samsung Galaxy J2
72. Samsung Galaxy J1 Ace Neo
73. Samsung Galaxy J1 Ace
74. Samsung Galaxy J1
75. Samsung Galaxy J3 Pro
76. Samsung Galaxy J7
77. Samsung Galaxy J5
78. Samsung Galaxy Note 2
79. Samsung Galaxy Note 3
80. Samsung Galaxy Note 4
81. Samsung Galaxy Note 5
82. Samsung Galaxy V Plus
83. Samsung Galaxy Note Edge
84. Samsung Galaxy Note FE
85. Windows Phone Lumia 540
86. Windows Phone Lumia 535
87. Windows Phone Lumia 1320
88. Windows Phone Lumia 625
89. Windows Phone Lumia 1020
90. Windows Phone Lumia 925
91. Windows Phone Lumia 928
92. Windows Phone Lumia 720
93. Windows Phone Lumia 520
94. Windows Phone Lumia 950
95. Windows Phone Lumia 510
96. Windows Phone Lumia 505
97. Windows Phone Lumia 620
98. Windows Phone Lumia 822
99. Windows Phone Lumia 920
100. Windows Phone Lumia 820
101. Windows Phone Lumia 900
102. Windows Phone Lumia 650
103. Windows Phone Lumia 550
104. Windows Phone Lumia 950 XL
105. Windows Phone Lumia 640 XL
106. Windows Phone Lumia 640
107. Windows Phone Lumia 930
108. Windows Phone Lumia 630
109. Windows Phone Lumia 1520
110. Windows Phone Lumia 505
111. Windows Phone 7 Pro
112. LG V30
113. LG V20
114. LG V10
115. LG G5
116. LG G4
117. LG G4 Beat
118. LG G4 Stylus
119. LG G4c
120. LG G3
121. LG Q6
122. LG G2
123. LG Nexus 5X
124. LG Nexus 4
125. LG Stylus 3
126. LG Optimus G Pro
127. LG X Power
128. LG K10
129. LG Q8
130. LG K8
131. LG K4
132. LG K3
133. LG G Vista 2
134. LG K7
135. LG X Cam
136. LG Leon
137. LG Spirit
138. LG Magna
139. LG Joy
140. LG Bello
141. LG Optimus F7
142. LG G6
143. LG Q6 Plus
144. LG Q6 Alpha
145. LG X Style
146. LG K5
147. LG Stylus 2 Plus
148. LG Stylus 2
149. LG X Screen
150. LG L Bello 2
151. LG Class
152. LG G Flex 2
153. LG L60
154. LG G3 S
155. LG G3 Beat
156. LG L80
157. LG L65
158. LG L90
159. LG L70
160. LG F70
161. LG G Flex
162. LG G Pro 2
163. LG G Pro Lite
164. LG G2 Mini
165. LG Google Nexus 5
166. LG K5
167. LG L40
168. LG Optimus L7 2
169. LG Optimus L9 P760
170. LG E973 Optimus G
171. LG Optimus 4X HD
172. LG P700 Optimus L7
173. LG Optimus L5
174. LG Optimus L3
175. LG Optimus Net
176. LG P930 Nitro HD
177. LG Optimus EX SU880
178. LG Optimus Note LU6500
179. LG Optimus TrueHD LTE P936
180. LG P990 Optimus 2X
181. LG Tegra 2
182. LG Optimus 3D
183. LG E720
184. LG A130
185. LG Optimus Z
186. LG Optimus Q
187. HTC U Ultra
188. HTC U11 Plus
189. HTC U11
190. HTC U Play
191. HTC Desire 650
192. HTC 10 evo
193. HTC Desire 10 Pro
194. HTC Desire 10 Lifestyle
195. HTC One A9s
196. HTC One S9
197. HTC Desire 830
198. HTC 10
199. HTC Desire 828
200. HTC One E9
201. HTC Desire 825
202. HTC Desire 630
203. HTC Desire 530
204. HTC Desire 728G
205. HTC One X9
206. HTC Desire 526G
207. HTC Desire 526
208. HTC One A9
209. HTC One M8s
210. HTC One E9 Plus
211. HTC Desire 520
212. HTC One M9 Plus
213. HTC One M9
214. HTC Desire 626
215. HTC Desire 826
216. HTC Desire 320
217. HTC Desire 620
218. HTC Desire 620G
219. HTC Desire Eye
220. HTC Desire 616
221. HTC Desire 516
222. HTC Desire 820
223. HTC Desire 510
224. HTC One E8
225. HTC One mini 2
226. HTC Desire 310
227. HTC Desire 816
228. HTC Desire 610
229. HTC Desire 400
230. HTC Desire 700
231. HTC Desire 501
232. HTC One Max
233. HTC Desire 100
234. HTC Desire 300
235. HTC Desire 500
236. HTC One Mini
237. HTC Butterfly S
238. HTC Desire 600
239. HTC First
240. HTC One
241. HTC Desire U
242. HTC Butterfly
243. HTC Droid DNA
244. HTC Desire SV
245. HTC One SV
246. HTC One X Plus
247. HTC J
248. HTC Desire VC
249. HTC Desire V
250. HTC Desire C
251. HTC One V
252. HTC One XL
253. HTC One S
254. HTC One X
255. HTC Primo
256. HTC Velocity 4G
257. HTC Titan 2
258. HTC Hero S
259. HTC Edge
260. HTC Rezound
261. HTC Vivid
262. HTC Evo Design 4G
263. HTC Sensation XL
264. HTC Explorer
265. HTC 8XT
266. HTC Accord
267. HTC 8S
268. HTC 8X
269. Sony Xperia L1
270. Sony Xperia XA1 Plus
271. Sony Xperia XZ1
272. Sony Xperia XZ1 Compact
273. Sony Xperia XZ Premium
274. Sony Xperia XZs
275. Sony Xperia XA1 Ultra
276. Sony Xperia XA1
277. Sony Xperia X Compact
278. Sony Xperia XZ
279. Sony Xperia E5
280. Sony Xperia XA
281. Sony Xperia X Performance
282. Sony Xperia X
283. Sony Xperia Z5 Compact
284. Sony Xperia Z5
285. Sony Xperia Z5 Premium
286. Sony Xperia M5
287. Sony Xperia C5 Ultra
288. Sony Xperia Z3 Plus
289. Sony Xperia C4 Dual
290. Sony Xperia Z4
291. Sony Xperia X4g
292. Sony Xperia M4 Aqua
293. Sony Xperia
APPENDIX: Table of Random Numbers
Source: Berenson, M.L., Levine, D.M. and Krehbiel, T.C.
(2012). Basic Business Statistics:
Concepts and Applications, 12th Edition, Pearson.
Rubrics
Questions worth 25 points
Descriptor
22.5 -
25
The student uses the proper formulas, completes the
calculations correctly, arrives to
the right result, draws the graph correctly when required
20 -
22.3
The student uses the right formula, but applies it wrongly
(minor errors, figures in the
wrong place…) and then, of course, the result is wrong
17.5 -
19.8
The student demonstrates a fair understanding of the meaning of
the data given and of
the question asked, but he/she is not able to identify the formula
to be used, does
larger errors and/or the calculations are wrong.
10 -
17.3
The student demonstrates some understanding of the concepts
but he/she is not able
to relate the data given in any way
2.5 -
9.75
The student demonstrates insufficient understanding of the
concepts and does not
mention any relevant ideas or concepts, but he/she done not
leave it blank
0 The student leaves the question blank or cheats.
Questions worth 20 points
Descriptor
18-20 The student uses the proper formulas, completes the
calculations
correctly, arrives to the right result, draws the graph correctly
when
required
16-17.9 The student uses the right formula, but applies it
wrongly (minor errors,
figures in the wrong place…) and then, of course, the result is
wrong
14-15.9 The student demonstrates a fair understanding of the
meaning of the data
given and of the question asked, but he/she is not able to
identify the
formula to be used, does larger errors and/or the calculations
are wrong.
8-13.9 The student demonstrates some understanding of the
concepts but
he/she is not able to relate the data given in any way
1-7.9 The student demonstrates insufficient understanding of
the concepts and
does not mention any relevant ideas or concepts, but he/she
done not
leave it blank
0 The student leaves the question blank or cheats.
Questions worth 15 points
Descriptor
13.5 - 15 The student demonstrates an excellent understanding
of the concepts.
12 - 13.4 The student demonstrates a good understanding of the
concepts.
10.5 - 11.9 The student demonstrates a fair understanding of the
concepts.
9 - 10.4 The student demonstrates some, but insufficient
understanding of the concepts.
4.5 - 8.85
The student demonstrates insufficient understanding of the
concepts. They may
mention some relevant ideas or concepts, although it is clear
that the relationship
between them is not understood by the student.
1.5 - 4.35
The student demonstrates insufficient understanding of the
concepts and does not
mention any relevant ideas or concepts.
0 The student leaves the question blank or cheats.
Test Results Project
Dr LaMar D. Brown PhD, MBA
Ph.D. in Information Technology
University of the Cumberland’s
Analysing and Visualizing Data
This is an example of a presentation.
DO NOT COPY THIS CONTENT. YOU HAVE TO CREATE
YOUR OWN PRESENTATION. USING YOUR OWN
THOUGHTS AND IDEAS BASED ON YOUR EVALUATION
OF THE RAW DATA.
Project Statement:
Input parameters:
Assessment scores of students in final exam
8 Attributes:
Index (Student#) – Integer
Ethnicity – [A,B,H,N,O,W]- Categorical
Absences – Integer
English Scores(%)- Integer
Math Scores(%) – Integer
Assessment Percent – Float
Assessment Result [Yes/No] – Categorical
English Second Language [Yes/No] - Categorical
60 rows of data
Output :
1. To analyze and summarize the data visually.
2. To make recommendations to improve the quality of
instruction.
Student population distribution vs Ethnicity :
Around 84% of the students are from Hispanic, White and Black
ethnic backgrounds.
And we can’t make strong conclusions for the other categories,
because of statistically insignificant amount of data.
Assessment Score(<65%),English vs Ethnicity
Most of the Students who failed in Assessment, scored under
65% in English.
80% of Black ethnic students who scored under 65% in English,
failed in Assessment
It is evident that students over 65% in English outperformed in
Total Assessment.
In general, we can make a conclusion that if a student failed in
the assessment they have scored less than 65% in English.
Assessment Score(<65%),Math vs Ethnicity
Most of that Black and Native Americans who failed in total
assessment, scored under 65% in math.
Around 60% of Whites who failed in assessment, scored under
65% in math.
With skewed data, 100% of students with ethnicity other scored
more than 65% in math.
Assessment Score(>=65%),English vs Ethnicity
25% of Black and 10% of White ethnic students scored under
65% in English when they passed in assessment.
Except white and black ethnic students, the remaining passed in
assessment with more than 65% in English.
Assessment Score(>=65%), Math vs Ethnicity
Student who passed the assessment, performed well in Math.
Assessment result – “Pass”, has a strong correlation with Math
score.
With English as second language, Assessment Scores
Most of the students who failed in assessment and having
English as their second language are from Hispanic ethnicity.
60% of Hispanics and 40% of A ethnic students passed in
assessment with English as second language.
Number of Hispanics who failed the assessment have strong
correlation between English score and English as second
language.
Without English as second language, Assessment Scores
There’s no correlation in passing the assessment and having
English as second language for both Black and White ethnic
students.
Recommendations:
Here you need to create all least 5 recommendations that you
would make to the VP based on the students scores and
outcomes.
Make sure your recommendations are related to the data and
presentation.
Sheet1StudentEthnicityNumber of Absences in 60 day
ProgramEnglish Score in PrecentMath Score in
PercentAssessment Score in PercentAssessment ResultsEnglish
Second LanguageAssessment
Key1H3347856FAILYES2H5285742.5FAILYESEthinicity3H23
78259.5FAILYESH=Hispanic4H0587164.5FAILYESB=Black5
W2587667PASSNOW=White6B0908587.5PASSNON=Native
Amer.7W17351726FAILNOO=Other8W3687772.5PASSNO9B0
598371PASSNO10B10242022FAILNOPassing
Score11W01009597.5PASSNO65%12A1100100100PASSYES13
B3697572PASSNO14H1239257.5FAILYESGED
Program15O5376551FAILNO60
Days16B1897079.5PASSNO17B0787275PASSNO18W1679078.
5PASSNO19N0565153.5FAILNO20B22231720FAILNO21B189
10094.5PASSNO22O3679581PASSNO23W0788682PASSNO24
H6343735.5FAILYES25O2527362.5FAILNO26B3544750.5FAI
LNO27B5785868PASSNO28N2678777PASSNO28N1978792PA
SSNO30W0434242.5FAILNOStudentEthnicityNumber of
Absences in 60 day ProgramEnglish Score in PrecentMath Score
in PercentAssessment Score in PercentAssessment
ResultsEnglish Second LanguageAssessment
Key31W0768480PASSNO32W0959494.5PASSNOEthinicity33A
11008592.5PASSYESH=Hispanic34H078043.5FAILYESB=Blac
k35H3118246.5FAILYESW=White36W4789084PASSNON=Nat
ive
Amer.37W9456555FAILNOO=Other38H2367053FAIL39B1971
0098.5PASS40O29110095.5PASSNOPassing
Score41H5807577.5PASSNO65%42A0809286PASSNO43B1354
4348.5FAILNO44H0808080PASSNOGED
Program45W12322126.5FAILNO60
Days46B0567666PASSNO47B1737674.5PASSNO48B3842152.5
FAILNO49H3897582PASSYES50H11262224FAILYES51W247
6556FAILNO52B1578269.5PASSNO53W0899391PASSNO54H
0937584PASSYES55W1847378.5PASSNO56H2848082PASSNO
57B6978490.5PASSNO58H4909090PASSYES59H1177043.5FA
ILNO60H3216543FAILYES

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  • 1. BCO127 Applied Management Statistics Task brief BCO127 Applied Management Statistics Assignment: The assignment is worth 40% of your marks for this subject. Deadline and submission: Your assignment must be submitted via Turnitin on Moodle before 23:59 on Sunday 10th May 2020. Word count: Your work is individual and should be uploaded in Moodle using Turnitin. Avoid any “copy- paste” practice to prevent possible problems of plagiarism. Title: Built on the acquired theoretical and practical knowledge of the second part of the semester you are required to solve the following problems: You must provide an explanation of your results in all your answers. 1) (15%) For Applied Management Statistics class you want to know how college students feel about the transportation system in Barcelona. a) What is the population in this study? b) What type of sample would you use and why?
  • 2. 2) (25%) A manager of an e-commerce company would like to determine average delivery time of the products. A sample of 25 customers is taken. "The average delivery time in the sample was four days. Suppose the delivery times are normally distributed with a standard deviation of 1.2 days." a) Provide a 95 % confidence interval for the mean delivery time. b) The manager claims that the average delivery time of their products does not exceed 3 days. Write the null and alternative hypothesis regarding to the claim of the manager. c) Test the manager’s claim at 95 % confidence level. d) Write the conclusion of your result 3) (15%) For an effective parental skill study, a researcher asked: How many hours do your kids watch the television during a typical week in Barcelona? The mean of 100 Kids (ages 6-11) spend about 28 hours a week in front of the TV. Suppose the study follows a normal distribution with standard deviation 5. a) Estimate the mean of all kids (ages 6-11) in Barcelona, using 99% confidence interval. (show all the calculations) b) Write the conclusion of your result
  • 3. 4) (25%) A regression analysis has been conducted between the annual income (in 1000 euros) and the work experience (in years) of people with 0.05 significance level. The results are summarized below. a) Define the independent and dependent variables. What can you say about the correlation between them. BCO127 Applied Management Statistics Task brief b) Interpret R Square. c) Write the regression model and interpret the coefficients. d) Estimate the average annual income of a person who has 15 years of work experience. Summary Table 1. Regression Statistics Multiple R 0,93 R Square 0,86 Adjusted R Square 0,82 Standard Error 2,11
  • 4. Observations 6 Table 2. df SS MS F Significance F Regression 1 107,603 107,603 24,276 0,008 Residual 4 17,730 4,432 Total 5 125,333 Table 3. Coefficients Standard Error t stat p value Lower 95% Upper 95% Intercept 17,351 3,160 5,491 0,005 8,577 26,124 Variable X 1 1,362 0,276 4,927 0,008 0,595 2,130 5) (20%) In order to analyze the performance of smart phones, the characteristics of 293 smart phone models have been recorded. Assume that for the initial analysis we would like to work with a sample of 10 observations. Choose a sample consisting 10 different smart phones by simple random sampling considering the table of random numbers given in the Appendix. You can begin from any row or column. Write your explanations for each step of choice and give a list of the sampled smart phone models. 1. Apple iPhone 7 2. Apple iPhone 7 Plus 3. Apple iPhone 6 Plus 4. Apple iPhone 6S Plus 5. Apple iPhone 6 6. Apple iPhone 5
  • 5. 7. Apple iPhone 5S 8. Apple iPhone 8 9. Apple iPhone 8 Plus 10. Xiaomi Hong Mi Red Rice 11. Xiaomi Mi 4 12. Xiaomi Mi 4c 13. Xiaomi Mi 4s 14. Xiaomi Mi 5 15. Xiaomi Mi 5s 16. Xiaomi Mi 5s Plus 17. Xiaomi Mi 5c 18. Xiaomi Mi 5 Pro 19. Xiaomi Mi 5X 20. Xiaomi Mi 6 21. Xiaomi Mi Max 22. Xiaomi Mi Max 2 23. Xiaomi Mi Mix 24. Xiaomi Mi Mix 2 25. Xiaomi Mi Note 26. Xiaomi Mi Note 2 27. Xiaomi Mi Note 3 28. Xiaomi Mi Note Pro 29. Xiaomi Mi3 30. Xiaomi Redmi2 31. Xiaomi Redmi3 32. Xiaomi Redmi 3S 33. Xiaomi Redmi4 34. Xiaomi Redmi4A 35. Xiaomi Redmi4X 36. Xiaomi Redmi Note 37. Xiaomi Redmi Note 2 38. Xiaomi Redmi Note 3 39. Xiaomi Redmi Note 4
  • 6. 40. Xiaomi Redmi Note 3 Pro 41. Xiaomi Redmi Note 4X 42. Xiaomi Redmi Note 5A 43. Samsung Galaxy S8 Plus 44. Samsung Galaxy S8 45. Samsung Galaxy S7 46. Samsung Galaxy S7 edge 47. Samsung Galaxy C8 48. Samsung Galaxy C5 Pro 49. Samsung Galaxy C7 Pro 50. Samsung Galaxy C9 Pro 51. Samsung Galaxy C7 SM-C7000 52. Samsung Galaxy C5 53. Samsung Galaxy C7213 54. Samsung Galaxy Core Prime 55. Samsung Galaxy Core 2 56. Samsung Galaxy Core Plus G3500 57. Samsung Galaxy Core Advance 58. Samsung Galaxy J7 Core 59. Samsung Galaxy J7 Pro 60. Samsung Galaxy J5 Pro 61. Samsung Galaxy J7 Max 62. Samsung Galaxy Xcover 4 63. Samsung Galaxy A7 64. Samsung Galaxy A5 65. Samsung Galaxy A3 66. Samsung Galaxy A8 67. Samsung Galaxy J3 68. Samsung Galaxy Grand Prime Plus 69. Samsung Galaxy J7 Prime 70. Samsung Galaxy J5 Prime 71. Samsung Galaxy J2 72. Samsung Galaxy J1 Ace Neo
  • 7. 73. Samsung Galaxy J1 Ace 74. Samsung Galaxy J1 75. Samsung Galaxy J3 Pro 76. Samsung Galaxy J7 77. Samsung Galaxy J5 78. Samsung Galaxy Note 2 79. Samsung Galaxy Note 3 80. Samsung Galaxy Note 4 81. Samsung Galaxy Note 5 82. Samsung Galaxy V Plus 83. Samsung Galaxy Note Edge 84. Samsung Galaxy Note FE 85. Windows Phone Lumia 540 86. Windows Phone Lumia 535 87. Windows Phone Lumia 1320 88. Windows Phone Lumia 625 89. Windows Phone Lumia 1020 90. Windows Phone Lumia 925 91. Windows Phone Lumia 928 92. Windows Phone Lumia 720 93. Windows Phone Lumia 520 94. Windows Phone Lumia 950 95. Windows Phone Lumia 510 96. Windows Phone Lumia 505 97. Windows Phone Lumia 620 98. Windows Phone Lumia 822 99. Windows Phone Lumia 920 100. Windows Phone Lumia 820 101. Windows Phone Lumia 900 102. Windows Phone Lumia 650 103. Windows Phone Lumia 550 104. Windows Phone Lumia 950 XL 105. Windows Phone Lumia 640 XL 106. Windows Phone Lumia 640 107. Windows Phone Lumia 930 108. Windows Phone Lumia 630
  • 8. 109. Windows Phone Lumia 1520 110. Windows Phone Lumia 505 111. Windows Phone 7 Pro 112. LG V30 113. LG V20 114. LG V10 115. LG G5 116. LG G4 117. LG G4 Beat 118. LG G4 Stylus 119. LG G4c 120. LG G3 121. LG Q6 122. LG G2 123. LG Nexus 5X 124. LG Nexus 4 125. LG Stylus 3 126. LG Optimus G Pro 127. LG X Power 128. LG K10 129. LG Q8 130. LG K8 131. LG K4 132. LG K3 133. LG G Vista 2 134. LG K7 135. LG X Cam 136. LG Leon 137. LG Spirit 138. LG Magna 139. LG Joy 140. LG Bello 141. LG Optimus F7
  • 9. 142. LG G6 143. LG Q6 Plus 144. LG Q6 Alpha 145. LG X Style 146. LG K5 147. LG Stylus 2 Plus 148. LG Stylus 2 149. LG X Screen 150. LG L Bello 2 151. LG Class 152. LG G Flex 2 153. LG L60 154. LG G3 S 155. LG G3 Beat 156. LG L80 157. LG L65 158. LG L90 159. LG L70 160. LG F70 161. LG G Flex 162. LG G Pro 2 163. LG G Pro Lite 164. LG G2 Mini 165. LG Google Nexus 5 166. LG K5 167. LG L40 168. LG Optimus L7 2 169. LG Optimus L9 P760 170. LG E973 Optimus G 171. LG Optimus 4X HD 172. LG P700 Optimus L7 173. LG Optimus L5 174. LG Optimus L3 175. LG Optimus Net 176. LG P930 Nitro HD 177. LG Optimus EX SU880
  • 10. 178. LG Optimus Note LU6500 179. LG Optimus TrueHD LTE P936 180. LG P990 Optimus 2X 181. LG Tegra 2 182. LG Optimus 3D 183. LG E720 184. LG A130 185. LG Optimus Z 186. LG Optimus Q 187. HTC U Ultra 188. HTC U11 Plus 189. HTC U11 190. HTC U Play 191. HTC Desire 650 192. HTC 10 evo 193. HTC Desire 10 Pro 194. HTC Desire 10 Lifestyle 195. HTC One A9s 196. HTC One S9 197. HTC Desire 830 198. HTC 10 199. HTC Desire 828 200. HTC One E9 201. HTC Desire 825 202. HTC Desire 630 203. HTC Desire 530 204. HTC Desire 728G 205. HTC One X9 206. HTC Desire 526G 207. HTC Desire 526 208. HTC One A9 209. HTC One M8s 210. HTC One E9 Plus
  • 11. 211. HTC Desire 520 212. HTC One M9 Plus 213. HTC One M9 214. HTC Desire 626 215. HTC Desire 826 216. HTC Desire 320 217. HTC Desire 620 218. HTC Desire 620G 219. HTC Desire Eye 220. HTC Desire 616 221. HTC Desire 516 222. HTC Desire 820 223. HTC Desire 510 224. HTC One E8 225. HTC One mini 2 226. HTC Desire 310 227. HTC Desire 816 228. HTC Desire 610 229. HTC Desire 400 230. HTC Desire 700 231. HTC Desire 501 232. HTC One Max 233. HTC Desire 100 234. HTC Desire 300 235. HTC Desire 500 236. HTC One Mini 237. HTC Butterfly S 238. HTC Desire 600 239. HTC First 240. HTC One 241. HTC Desire U 242. HTC Butterfly 243. HTC Droid DNA
  • 12. 244. HTC Desire SV 245. HTC One SV 246. HTC One X Plus 247. HTC J 248. HTC Desire VC 249. HTC Desire V 250. HTC Desire C 251. HTC One V 252. HTC One XL 253. HTC One S 254. HTC One X 255. HTC Primo 256. HTC Velocity 4G 257. HTC Titan 2 258. HTC Hero S 259. HTC Edge 260. HTC Rezound 261. HTC Vivid 262. HTC Evo Design 4G 263. HTC Sensation XL 264. HTC Explorer 265. HTC 8XT 266. HTC Accord 267. HTC 8S 268. HTC 8X 269. Sony Xperia L1 270. Sony Xperia XA1 Plus 271. Sony Xperia XZ1 272. Sony Xperia XZ1 Compact 273. Sony Xperia XZ Premium 274. Sony Xperia XZs 275. Sony Xperia XA1 Ultra 276. Sony Xperia XA1 277. Sony Xperia X Compact 278. Sony Xperia XZ 279. Sony Xperia E5
  • 13. 280. Sony Xperia XA 281. Sony Xperia X Performance 282. Sony Xperia X 283. Sony Xperia Z5 Compact 284. Sony Xperia Z5 285. Sony Xperia Z5 Premium 286. Sony Xperia M5 287. Sony Xperia C5 Ultra 288. Sony Xperia Z3 Plus 289. Sony Xperia C4 Dual 290. Sony Xperia Z4 291. Sony Xperia X4g 292. Sony Xperia M4 Aqua 293. Sony Xperia APPENDIX: Table of Random Numbers Source: Berenson, M.L., Levine, D.M. and Krehbiel, T.C. (2012). Basic Business Statistics: Concepts and Applications, 12th Edition, Pearson.
  • 14. Rubrics Questions worth 25 points Descriptor 22.5 - 25 The student uses the proper formulas, completes the calculations correctly, arrives to the right result, draws the graph correctly when required 20 - 22.3 The student uses the right formula, but applies it wrongly (minor errors, figures in the wrong place…) and then, of course, the result is wrong 17.5 - 19.8
  • 15. The student demonstrates a fair understanding of the meaning of the data given and of the question asked, but he/she is not able to identify the formula to be used, does larger errors and/or the calculations are wrong. 10 - 17.3 The student demonstrates some understanding of the concepts but he/she is not able to relate the data given in any way 2.5 - 9.75 The student demonstrates insufficient understanding of the concepts and does not mention any relevant ideas or concepts, but he/she done not leave it blank 0 The student leaves the question blank or cheats. Questions worth 20 points Descriptor 18-20 The student uses the proper formulas, completes the calculations correctly, arrives to the right result, draws the graph correctly
  • 16. when required 16-17.9 The student uses the right formula, but applies it wrongly (minor errors, figures in the wrong place…) and then, of course, the result is wrong 14-15.9 The student demonstrates a fair understanding of the meaning of the data given and of the question asked, but he/she is not able to identify the formula to be used, does larger errors and/or the calculations are wrong. 8-13.9 The student demonstrates some understanding of the concepts but he/she is not able to relate the data given in any way 1-7.9 The student demonstrates insufficient understanding of the concepts and does not mention any relevant ideas or concepts, but he/she done not leave it blank 0 The student leaves the question blank or cheats. Questions worth 15 points Descriptor
  • 17. 13.5 - 15 The student demonstrates an excellent understanding of the concepts. 12 - 13.4 The student demonstrates a good understanding of the concepts. 10.5 - 11.9 The student demonstrates a fair understanding of the concepts. 9 - 10.4 The student demonstrates some, but insufficient understanding of the concepts. 4.5 - 8.85 The student demonstrates insufficient understanding of the concepts. They may mention some relevant ideas or concepts, although it is clear that the relationship between them is not understood by the student. 1.5 - 4.35 The student demonstrates insufficient understanding of the concepts and does not mention any relevant ideas or concepts. 0 The student leaves the question blank or cheats.
  • 18. Test Results Project Dr LaMar D. Brown PhD, MBA Ph.D. in Information Technology University of the Cumberland’s Analysing and Visualizing Data This is an example of a presentation. DO NOT COPY THIS CONTENT. YOU HAVE TO CREATE YOUR OWN PRESENTATION. USING YOUR OWN THOUGHTS AND IDEAS BASED ON YOUR EVALUATION OF THE RAW DATA. Project Statement: Input parameters: Assessment scores of students in final exam 8 Attributes: Index (Student#) – Integer Ethnicity – [A,B,H,N,O,W]- Categorical Absences – Integer
  • 19. English Scores(%)- Integer Math Scores(%) – Integer Assessment Percent – Float Assessment Result [Yes/No] – Categorical English Second Language [Yes/No] - Categorical 60 rows of data Output : 1. To analyze and summarize the data visually. 2. To make recommendations to improve the quality of instruction. Student population distribution vs Ethnicity : Around 84% of the students are from Hispanic, White and Black ethnic backgrounds. And we can’t make strong conclusions for the other categories, because of statistically insignificant amount of data. Assessment Score(<65%),English vs Ethnicity Most of the Students who failed in Assessment, scored under 65% in English. 80% of Black ethnic students who scored under 65% in English, failed in Assessment It is evident that students over 65% in English outperformed in Total Assessment.
  • 20. In general, we can make a conclusion that if a student failed in the assessment they have scored less than 65% in English. Assessment Score(<65%),Math vs Ethnicity Most of that Black and Native Americans who failed in total assessment, scored under 65% in math. Around 60% of Whites who failed in assessment, scored under 65% in math. With skewed data, 100% of students with ethnicity other scored more than 65% in math. Assessment Score(>=65%),English vs Ethnicity 25% of Black and 10% of White ethnic students scored under 65% in English when they passed in assessment. Except white and black ethnic students, the remaining passed in assessment with more than 65% in English.
  • 21. Assessment Score(>=65%), Math vs Ethnicity Student who passed the assessment, performed well in Math. Assessment result – “Pass”, has a strong correlation with Math score. With English as second language, Assessment Scores Most of the students who failed in assessment and having English as their second language are from Hispanic ethnicity. 60% of Hispanics and 40% of A ethnic students passed in assessment with English as second language. Number of Hispanics who failed the assessment have strong correlation between English score and English as second language. Without English as second language, Assessment Scores There’s no correlation in passing the assessment and having
  • 22. English as second language for both Black and White ethnic students. Recommendations: Here you need to create all least 5 recommendations that you would make to the VP based on the students scores and outcomes. Make sure your recommendations are related to the data and presentation. Sheet1StudentEthnicityNumber of Absences in 60 day ProgramEnglish Score in PrecentMath Score in PercentAssessment Score in PercentAssessment ResultsEnglish Second LanguageAssessment Key1H3347856FAILYES2H5285742.5FAILYESEthinicity3H23 78259.5FAILYESH=Hispanic4H0587164.5FAILYESB=Black5 W2587667PASSNOW=White6B0908587.5PASSNON=Native Amer.7W17351726FAILNOO=Other8W3687772.5PASSNO9B0 598371PASSNO10B10242022FAILNOPassing Score11W01009597.5PASSNO65%12A1100100100PASSYES13 B3697572PASSNO14H1239257.5FAILYESGED Program15O5376551FAILNO60 Days16B1897079.5PASSNO17B0787275PASSNO18W1679078. 5PASSNO19N0565153.5FAILNO20B22231720FAILNO21B189 10094.5PASSNO22O3679581PASSNO23W0788682PASSNO24 H6343735.5FAILYES25O2527362.5FAILNO26B3544750.5FAI
  • 23. LNO27B5785868PASSNO28N2678777PASSNO28N1978792PA SSNO30W0434242.5FAILNOStudentEthnicityNumber of Absences in 60 day ProgramEnglish Score in PrecentMath Score in PercentAssessment Score in PercentAssessment ResultsEnglish Second LanguageAssessment Key31W0768480PASSNO32W0959494.5PASSNOEthinicity33A 11008592.5PASSYESH=Hispanic34H078043.5FAILYESB=Blac k35H3118246.5FAILYESW=White36W4789084PASSNON=Nat ive Amer.37W9456555FAILNOO=Other38H2367053FAIL39B1971 0098.5PASS40O29110095.5PASSNOPassing Score41H5807577.5PASSNO65%42A0809286PASSNO43B1354 4348.5FAILNO44H0808080PASSNOGED Program45W12322126.5FAILNO60 Days46B0567666PASSNO47B1737674.5PASSNO48B3842152.5 FAILNO49H3897582PASSYES50H11262224FAILYES51W247 6556FAILNO52B1578269.5PASSNO53W0899391PASSNO54H 0937584PASSYES55W1847378.5PASSNO56H2848082PASSNO 57B6978490.5PASSNO58H4909090PASSYES59H1177043.5FA ILNO60H3216543FAILYES