Homework template
.docx
keyboard_arrow_up
School
Stanford University *
*We aren’t endorsed by this school
Course
361
Subject
Computer Science
Date
Apr 29, 2024
Type
docx
Pages
6
Uploaded by agdhruv14 on coursehero.com
CS361 Probability and Statistics University of Illinois Urbana-Champaign
Question 1
Question 2
CS361 Probability and Statistics University of Illinois Urbana-Champaign
A) Eigenvalues: 99202.03073131485, 172.53659575331014, 9.531196010395076, 5.100809962845175, 1.2857882627872435, 0.8681665712906999, 0.28700697230341277, 0.15527896337101005, 0.1137333168807999, 0.08637842623478563, 0.04620261878082414, 0.03492730380201006, 0.020762673229640233, 0.008092658922920682
5 Principal Components (after 5
th
Eigenvalue the values are less than 1, so can be discarded).
C)
Red dots: class 1
Green dots: class 2
Blue dots: class 3
Question 3
CS361 Probability and Statistics University of Illinois Urbana-Champaign
A) Observations: Points seem to belong to 3 different groups, which may correlate to the groups in the dataset.
B)
Eigenvalues: 10.79332691966713, 2.129455116294384, 0.07363003299173801, 0.01288749471737176, 0.002748226678965312, 0.0015704497961913297, 2.9655442502569776e^(-05)
2 principal components (Eigenvalues after second are less than 1).
Question 4
A)
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Related Questions
Task 3: Amazon wants to find the best customer and likes to reward 50% discount on his next purchase. Find the Customer with the highest
amount of total purchase amount. The output should the one as below:
]:
1 from IPython.display import Image
2 Image(filename = "Screenshot_72.jpg')
]:
Custoner ID:16229 is the best custoner since he has spent a lot on our business. His total purchase amount is 3702.12 pesos.5e1
discount will be given on his next purchase
arrow_forward
(c) Table below shows a dataset of contacts:
Max Temp (°C) Weight (kg)
67
Height (cm)
163
Gender Company
Good
Friend
Abu
37
M
Ben
37
51
154
M
Good
Christine
28
76
182
Bad
Dennis
29
68
159
M
Good
Eliza
28
99
151
F
Bad
Farhan
38
105
184
M
Good
Gina
34
51
160
Bad
Hua
26
96
156
F
Bad
Iris
25
60
184
Bad
John
26
63
184
M
Good
Kelvin
27
72
167
M
Bad
Latifa
26
106
155
F
Good
Maria
36
86
185
F
Bad
Ning
29
105
174
M
Good
Based on the table below, plot any TWO(2) charts to represent the
CS Scanujingifomationn Scanner
Max Temp
ii. Weight
arrow_forward
1 Datal.head(200)
InvoiceNo StockCode
Description Quantity
InvoiceDate UnitPrice CustomerlD
Country
536385
85123A
WHITE HANGING HEART T-LIGHT HOLDER
01/12/2010 8:28
2.55
17850 United Kingdom
536365
71053
WHITE METAL LANTERN
6
01/12/2010 8:26
3.39
17850 United Kingdom
2
536365
84406B
CREAM CUPID HEARTS COAT HANGER
01/12/2010 8:28
2.75
17850 United Kingdom
536365
84029G KNITTED UNION FLAG HOT WATER BOTTLE
01/12/2010 8:26
3.39
17850 United Kingdom
4
536365
84029E
RED WOOLLY HOTTIE WHITE HEART.
01/12/2010 8:26
3.39
17850 United Kingdom
194
536388
21115
ROSE CARAVAN DOORSTOP
4
01/12/2010 9:59
6.75
18250 United Kingdom
195
536388
22469
HEART OF WICKER SMALL
12
01/12/2010 9:59
1.65
18250 United Kingdom
196
536388
22242
5 HOOK HANGER MAGIC TOADSTOOL
12
01/12/2010 9:59
1.65
18250 United Kingdom
197
536389
22941
CHRISTMAS LIGHTS 10 REINDEER
6 01/12/2010 10:03
8.50
12431
Australia
198
536389
21622
VINTAGE UNION JACK CUSHION COVER
8 01/12/2010 10:03
4.95
12431
Australia
199 rows x 8 columns
Task…
arrow_forward
Using KNN algorithm to find the 05 similar movies from the movies below.
Movie ID
Movie Name
IMDB Rating
Biography
Drama
Thriller
Comedy
Crime
Mystery
History
Label
58
The Imitation Game
8
1
1
1
0
0
0
0
0
8
Ex Machina
7.7
0
1
0
0
0
1
0
0
46
A Beautiful Mind
8.2
1
1
0
0
0
0
0
0
62
Good Will Hunting
8.3
0
1
0
0
0
0
0
0
97
Forrest Gump
8.8
0
1
0
0
0
0
0
0
98
21
6.8
0
1
0
0
1
0
1
0
31
Gifted
7.6
0
1
0
0
0
0
0
0
3
Travelling Salesman
5.9
0
1
0
0
0
1
0
0
51
Avatar
7.9
0
0
0
0
0
0
0
0
47
The Karate Kid
7.2
0
1
0
0
0
0
0
0
50
A Brilliant Young Mind
7.2
0
1
0
0
0
0
0
0
49
A Time To Kill
7.4
0
1
1
0
1
0
0
0
30
Interstellar
8.6
0
1
0
0
0
0
0
0
94
The Wolf of…
arrow_forward
Year
Qtr 1
Qtr 2
Qtr 3
Qtr 4
Total
2009
312
406
393
487
1,598
2010
239
373
271
440
1,323
2011
268
284
290
486
1,328
2012
307
357
333
507
1,504
2013
333
409
354
524
1,620
2014
330
388
379
516
1,613
2015
294
376
385
535
1,590
Year
Qtr
Planes
2009
Qtr1
312
Qtr2
406
Qtr3
393
Qtr4
487
2010
Qtr1
239
Qtr2
373
Qtr3
271
Qtr4
440
2011
Qtr1
268
Qtr2
284
Qtr3
290
Qtr4
486
2012
Qtr1
307
Qtr2
357
Qtr3
333
Qtr4
507
2013
Qtr1
333
Qtr2
409
Qtr3
354
Qtr4
524
2014
Qtr1
330
Qtr2
388
Qtr3
379
Qtr4
516
2015
Qtr1
294
Qtr2
376
Qtr3
385
Qtr4
535
(c) Use MegaStat or Minitab to calculate estimated seasonal indexes and trend. (Round your answers to 3 decimal places.)
Qtr1Index
Qtr2Index
Qtr3Index
Qtr4Index
?
?
?
?
(d) In which quarters are shipments highest? Lowest? (You may select more than one answer. Click the box with a check mark for…
arrow_forward
Task-2:
Amazon wants to reward the customer who has done the most number of
transactions, by providing a gift hamper worth 1000 pesos.
Find out the customer who has done the most number of transactions [Note: One
invoice number corresponds to one transaction]. The output should the one as
below:
Hurray!The most number of transactions is done by Customer ID: 17850. He has made 45 transactions. He will be rewarded with ou
gift hamper worth 1000 pesos
arrow_forward
A correlation coefficient equal to
means 100% correlation in the opposing sense
O -1
O -100
O 1
arrow_forward
Calibri (Body)
9 B I U S aAv
11
fx
A
B
K
M
1
COMPUTER
CSc 4210/6210
Spring 2022
2
ARCHITECTURE
HW 1
Due
25-Jan
11:59 PM
3
Name:
Your GSU email:
@student.gsu.edu
(last 4 digits of your ID)
4
total hw questions=9
This hw covers Lect1 - Lect3
1- Use truth table to prove the following expressions by inserting either logic 'O' or '1', for the left hand side (LHS) and the right hand side (RHS):
6
[(XÂY)+Z*(X+ZX)]L= [X°Y+X°Z*+XY*]L (Solved Example)
i-
A=XOR
to display Å as XOR highlight it and change the font to symbol
X
Y
LHS
RHS
1
1
1
1
1
1.
1
1
1
1
1
ii-
[v'u +v't'u +v°t]L = [v°(vÅtÂu ")+v°(v'At+vAu )]L
V
u
LHS
RHS
1
1
1
1
1
1
1
1
1
1
arrow_forward
Section
Mean
Standard Deviation
English
20.3
6.8
Math
20.7
5.4
Reading
21.4
6.5
Science
20.9
5.5
STEM
21.0
5.2
Aisha and Amber both took the ACT on the same day. They both earned a 27, but in different sections. Aisha had a 27 on her Science, but Amber had a 27 on her Math. Which of the girls did better with respect to the other students who took that section?
Aisha's z-score: z =
Amber's z-score: z =
Who did better?
arrow_forward
Using the data below. Estimate the amount of particulate removed when daily rainfall is x = 4.8 units.
Daily rainfall, x
Particulate removed, y
(0.01)
(mcg/cum)
4.3
126
4.5
121
5.9
116
5.6
118
6.1
114
5.2
118
3.8
132
2.1
141
7.5
108
O 123
O 125
O 121
O 122
о
O 120
arrow_forward
a) Normalize the following table to the third normal form.
PROJ NUM PROJ NAME
15
Evergreen
18
22
25
Amber Wave
Rolling Tide
Starflight
EMP_NUM
103
101
105
106
102
114
118
104
112
105
104
113
111
106
107
115
101
114
108
118
112
EMP NAME
June E Arbough
John G News
Alice K Johnson
William Smithfield
David H. Senior
Annelise Jones
James J. Frommer
Anne K. Ramoras *
Darlene M. Smithson
Alice K Johnson
Anne K. Ramoras
Delbert K. Joenbrood
Geoff B. Wabash
William Smithfield
Maria D. Alonzo
Travis B Bawangi
John G. News T
Annelise Jones
Ralph B. Washington
James J. Frommer
Darlene M. Smithson
8
JOB CLASS
Elect Engineer
Database Designer
Database Designer
Programmer
Systems Analyst
Applications Designer
General Support
Systems Analyst
DSS Analyst
Database Designer
Systems Analyst
Applications Designer
Clerical Support
Programmer
Programmer
Systems Analyst
Database Designer
Applications Designer
Systems Analyst
General Support
DSS Analyst
CHG HOUR HOURS
84.50
105.00
105.00
35.75
96.75
48 10…
arrow_forward
Year
Airfare
2004
402.26
2005
391.5
2006
405.48
2007
390.3
2008
400.27
2009
359.91
2010
383.48
2011
402.45
2012
406.13
2013
407.99
2014
411.67
2015
395.7
2016
361.94
2017
352.85
2018
346.49
In R language,1) Conduct time series plot of the average airfare data. Question #1: What patterns do you notice in the time series plot of average annual airfare from 2004 to 2018? (a. horizontal pattern, b. clear upward trend, c. clear seasonal effects, d. clear downward trend)
2) Use a simple moving average with n = 3 (3 years) to calculate a forecast for the average airfare in 2019. Question #2: What is the 2019 forecast for average airfare using the simple moving average technique? (Round to two decimal places)
3) Based on the predicted values up to 2018, calculate accuracy measures (MAE, MSE, RMSE, and MAPE) for the simple moving average method. Question #3: What is the MAE for the simple moving average method?(Round to two decimal places)
4) Use a simple…
arrow_forward
Computer Science
pamuk_uretimi
YEAR_
birincifarki
alinmis_ser
var
var
var
1
19579
1932
2
27791
1933
8212
3
37762
1934
9971
4
52228
1935
14466
51068
1936
-1160
6
67185
1937
16117
64731
1938
-2454
8
63950
1939
-781
9
77115
1940
13165
10
64184
1941
-12931
11
74055
1942
9871
12
53392
1943
-20663
13
58916
1944
5524
14
54379
1945
-4537
15
59027
1946
4648
16
51456
1947
-7571
17
58198
1948
6742
18
104156
1949
45958
19
118377
1950
14221
20
150000
1951
31623
21
165000
1952
15000
Do it using Box and Jenkins Method and R
program.
arrow_forward
M = C mod n
%3D
29
M =32
mod 65
%3D
M =
arrow_forward
Try these problems:
1)
910 - 710
= 210
0000 1001
0000 0111 =
2)
1710 - 1210 = 510
0001 0001
0000 1100 =
3)
1810 - 2210 = - 410
0001 0010 - 0001 0110 =
%3D
4)
710 - 1910
= - 1210
0000 0111
0001 0011 =
5)
- 2610 + 1010 = - 1610
1001 1010 + 0000 1010 =
6)
- 1910 + 610 = - 1310
1001 0011
+ 0000 0110 =
arrow_forward
Calculate the Pearson correlation coefficient.
arrow_forward
235 U
as
The material that formed the earth was created in a supernova explosion approximately 6 billion
years ago. The two most common isotopes of uranium, 238 U and 235 U were created in roughly
equal amounts. Today, the earth contains more than 100 times as much 238 U
▾
Part A
Which isotope has a longer half-life? Select the correct answer and explanation.
238
O 8U has a longer half-life because more of it have decayed.
O235 U has a longer half-life because less of it have decayed.
O238 U has a longer half-life because less of it have decayed.
235 U has a longer half-life because more of it have decayed.
arrow_forward
I have these data sets
(A) Emissions
Year Country Continent Emission 0 2008 Aruba South America 24.750133 1 2009 Aruba South America 24.876706 2 2010 Aruba South America 24.182702 3 2011 Aruba South America 23.922412 4 2008 Andorra Europe 6.296125 .. ... ... ... ... 783 2011 Zambia Africa 0.212450 784 2008 Zimbabwe Africa 0.569255 785 2009 Zimbabwe Africa 0.600521 786 2010 Zimbabwe Africa 0.646073 787 2011 Zimbabwe Africa 0.691698
(B) Gap_long
Country Year Population 0 Afghanistan 2008 27700000 1 Albania 2008 3000000 2 Algeria 2008 34700000 3 Andorra 2008 83900 4 Angola 2008 21700000 .. ... ... ... 775 Venezuela 2011 28900000 776 Vietnam 2011 88900000 777 Yemen 2011 23800000 778 Zambia 2011 14000000 779 Zimbabwe 2011 12900000
Using pandas in python code
How do I create a new dataframe that only contains the rows that were present in both emissions and gap_long . Name this dataframe emissions_both. I was given this Hint by another user: Looking at the _merge column may be helpful. I…
arrow_forward
ID
Student Number
Surname
Name
Test 1
Test 2
Test 3
Test 4
Final mark
PASS/FAIL
1
217545455
Johaness
Wheeler
45%
34%
49%
21%
37
FAIL
2
217452154
David
Albertina
45%
34%
49%
4%
33
FAIL
3
217454151
Waldo
Gertze
75%
75%
63%
88%
75
PASS
4
217486414
Kalimbo
Andreas
51%
56%
90%
90%
72
PASS
5
217454155
Hakweenda
Junior
44%
28%
35%
14%
30
FAIL
Answer the following questions using the table above
Use student 2017 table to create a query that will display Student Number, Surname, Name and Pass/Fail field for all the students whose final result is "PASS". Save the query as "Pass".
Use student 2017 to create a query that will display the student's surname and final mark field for all the students whose final mark is between 0 - 40. Save the query as "Fail"
Use student 2017 to create a query that will display the student number and surname for all the students whose surname consist of letter "O" in it. Save the query as "Surname".
arrow_forward
Evaluate the expression (11011∧01011)⊕(00001∨00111)
.
A) 01011
B) 00111
C) 01100
D) 01010
arrow_forward
Convert the following by showing all the steps necessary
a) (1001111)2
b) (11000001)2
c) (E16)16
d) (56)10
e) (63)10
)10
16
10
)16
%3D
%3D
= (
= (
Rubrics (Scoring Guide)
- Steps = 80%
- Correct Answer = 20%
arrow_forward
A video frame displayed onscreen consists of many pixels, with eachpixel, or cell, representing one unit of video output. A videodisplay’s resolution is typically specified in horizontal and verticalpixels (such as 1920 3 1080), and the number of pixels onscreen issimply the product of these numbers (1920 3 1080 5 2,073,600 pixels).A pixel’s data content is one or more unsigned integers. For ablack-and-white display, each pixel is a single number (usuallybetween 0 and 255) representing the intensity of the color white.Color pixel data is typically represented as one or three unsignedintegers.When three numbers are used, the numbers are usually between 0 and255, and each number represents the inten- sity of a primary color(red, green, or blue). When a single number is used, it represents apredefined color selected from a table (palette) of colors.Motion video is displayed onscreen by copying frames rapidly to thevideo display controller. Because video images or frames require manybytes…
arrow_forward
Find the values of x and y using pseudoinverse.
x + 3y = 17; 5x + 7y = 19; 11x + 13y = 23
arrow_forward
Quarter
Revenue
2014Q1
1050
2014Q2
1005
2014Q3
1169
2014Q4
1420
2015Q1
1566
2015Q2
1824
2015Q3
2085
2015Q4
2405
2016Q1
2566
2016Q2
2886
2016Q3
3231
2016Q4
3536
2017Q1
3661
2017Q2
4100
2017Q3
4584
2017Q4
5113
2018Q1
5442
2018Q2
6105
2018Q3
6679
2018Q4
7430
2019Q1
7696
2019Q2
8381
2019Q3
8995
2019Q4
9954
2020Q1
10219
2020Q2
10808
2020Q3
11601
2020Q4
12742
2021Q1
13503
2021Q2
14809
2021Q3
16110
2021Q4
17780
In R language,
Create a time series plot of the Amazon Web Services revenue data.1) Use linear regression first to model the trend in the time series. After conducting a linear regression to model the trend in the timeseries, what is the slope coefficient for the trend variable?2) Calculate accuracy measures for predicted values based on the regression in (1).What is the MAPE based on the results of the linear regression you just conducted? (Round to two decimal places)3) Based on the pattern in the time series data,…
arrow_forward
Q4/ A: How to use MATLAB to verify that the identity is correct for the trigonometric
identity given below:
Substituting: x= 25°.
1-2cosx - 3cos²x__ 1-3cosx
sin²x
1– cosx
=
arrow_forward
dont post existing answer
dont answer without knowledge
arrow_forward
The arrival times of geese to a gaggle were recorded (in seconds) and given in the
stemplot below.
134599
21778
2345
32
4599
6 22
What is the 12th fastest time a goose took to join the gaggle? Make sure to use
labels and avoid the use of abbreviations.
Your Answer:
arrow_forward
(212)d
(EFCDB)h
26
2
(919)d
(E1FDC2)h
27
3
(517)d
boo o ool0 1)b
(AFBD7)h
28
(413)d
4
29
(FFCC2)h
5
(212)d
Jo
30
(EFCDB)h
6
(919)d
31
(E1FDC2)h
(517)d
(AFBD7)h
32
8.
(413)d
)o
33
(FFCC2)h
(212)d
34
(EF2C1D6)h
10
(919)d
)h
35
(E1F2D3C2)h
Jo
11
(517)d
)h
36
(AIF2B4D7)h
Jo
(413)d
(F1F9C8C2)h
12
)h
37
Jo
13
(7777)o
)d
38
(E4F6C5D7B)h
Jo
14
(34567)o
)d
39
(11101)b
15
(27354)o
)d
40
(111010)b
16
(765)o
)d
41
(1110111)b
17
(730274)o
42
(10101)b
18
(342567)o
)b
43
(1110101101011)b
19
(275354)o
44
(10101010101001)b
(763615)o
)b
45
(11010101010101011)b
(731274)o
(110000101010101010)b
21
46
(342467)o
(11010101010101010)b
22
47
(110000101010101011)b
(1110101101011)b
)h
)h
(275254)o
(763315)o
23
48
24
)h
49
(321456)
50
(10101010101001)b
)h
25
20
arrow_forward
question 51/52
arrow_forward
7F1= (126)8/(A)16
F2=
(86)10/ (0011 0111)BCD(3311)
F3=
(1111101)Gray/(10011)Ex-3
F4= (56)16/(20)8
Chose
the correct answer
O F3=F4
O F1=F2
F2=F4
F1=F3
None of them
O F2=F3
arrow_forward
SEE MORE QUESTIONS
Recommended textbooks for you
Database System Concepts
Computer Science
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:9780134444321
Author:Tony Gaddis
Publisher:PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:9780132737968
Author:Thomas L. Floyd
Publisher:PEARSON
C How to Program (8th Edition)
Computer Science
ISBN:9780133976892
Author:Paul J. Deitel, Harvey Deitel
Publisher:PEARSON
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781337627900
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning
Programmable Logic Controllers
Computer Science
ISBN:9780073373843
Author:Frank D. Petruzella
Publisher:McGraw-Hill Education
Related Questions
- Task 3: Amazon wants to find the best customer and likes to reward 50% discount on his next purchase. Find the Customer with the highest amount of total purchase amount. The output should the one as below: ]: 1 from IPython.display import Image 2 Image(filename = "Screenshot_72.jpg') ]: Custoner ID:16229 is the best custoner since he has spent a lot on our business. His total purchase amount is 3702.12 pesos.5e1 discount will be given on his next purchasearrow_forward(c) Table below shows a dataset of contacts: Max Temp (°C) Weight (kg) 67 Height (cm) 163 Gender Company Good Friend Abu 37 M Ben 37 51 154 M Good Christine 28 76 182 Bad Dennis 29 68 159 M Good Eliza 28 99 151 F Bad Farhan 38 105 184 M Good Gina 34 51 160 Bad Hua 26 96 156 F Bad Iris 25 60 184 Bad John 26 63 184 M Good Kelvin 27 72 167 M Bad Latifa 26 106 155 F Good Maria 36 86 185 F Bad Ning 29 105 174 M Good Based on the table below, plot any TWO(2) charts to represent the CS Scanujingifomationn Scanner Max Temp ii. Weightarrow_forward1 Datal.head(200) InvoiceNo StockCode Description Quantity InvoiceDate UnitPrice CustomerlD Country 536385 85123A WHITE HANGING HEART T-LIGHT HOLDER 01/12/2010 8:28 2.55 17850 United Kingdom 536365 71053 WHITE METAL LANTERN 6 01/12/2010 8:26 3.39 17850 United Kingdom 2 536365 84406B CREAM CUPID HEARTS COAT HANGER 01/12/2010 8:28 2.75 17850 United Kingdom 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 01/12/2010 8:26 3.39 17850 United Kingdom 4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 01/12/2010 8:26 3.39 17850 United Kingdom 194 536388 21115 ROSE CARAVAN DOORSTOP 4 01/12/2010 9:59 6.75 18250 United Kingdom 195 536388 22469 HEART OF WICKER SMALL 12 01/12/2010 9:59 1.65 18250 United Kingdom 196 536388 22242 5 HOOK HANGER MAGIC TOADSTOOL 12 01/12/2010 9:59 1.65 18250 United Kingdom 197 536389 22941 CHRISTMAS LIGHTS 10 REINDEER 6 01/12/2010 10:03 8.50 12431 Australia 198 536389 21622 VINTAGE UNION JACK CUSHION COVER 8 01/12/2010 10:03 4.95 12431 Australia 199 rows x 8 columns Task…arrow_forward
- Using KNN algorithm to find the 05 similar movies from the movies below. Movie ID Movie Name IMDB Rating Biography Drama Thriller Comedy Crime Mystery History Label 58 The Imitation Game 8 1 1 1 0 0 0 0 0 8 Ex Machina 7.7 0 1 0 0 0 1 0 0 46 A Beautiful Mind 8.2 1 1 0 0 0 0 0 0 62 Good Will Hunting 8.3 0 1 0 0 0 0 0 0 97 Forrest Gump 8.8 0 1 0 0 0 0 0 0 98 21 6.8 0 1 0 0 1 0 1 0 31 Gifted 7.6 0 1 0 0 0 0 0 0 3 Travelling Salesman 5.9 0 1 0 0 0 1 0 0 51 Avatar 7.9 0 0 0 0 0 0 0 0 47 The Karate Kid 7.2 0 1 0 0 0 0 0 0 50 A Brilliant Young Mind 7.2 0 1 0 0 0 0 0 0 49 A Time To Kill 7.4 0 1 1 0 1 0 0 0 30 Interstellar 8.6 0 1 0 0 0 0 0 0 94 The Wolf of…arrow_forwardYear Qtr 1 Qtr 2 Qtr 3 Qtr 4 Total 2009 312 406 393 487 1,598 2010 239 373 271 440 1,323 2011 268 284 290 486 1,328 2012 307 357 333 507 1,504 2013 333 409 354 524 1,620 2014 330 388 379 516 1,613 2015 294 376 385 535 1,590 Year Qtr Planes 2009 Qtr1 312 Qtr2 406 Qtr3 393 Qtr4 487 2010 Qtr1 239 Qtr2 373 Qtr3 271 Qtr4 440 2011 Qtr1 268 Qtr2 284 Qtr3 290 Qtr4 486 2012 Qtr1 307 Qtr2 357 Qtr3 333 Qtr4 507 2013 Qtr1 333 Qtr2 409 Qtr3 354 Qtr4 524 2014 Qtr1 330 Qtr2 388 Qtr3 379 Qtr4 516 2015 Qtr1 294 Qtr2 376 Qtr3 385 Qtr4 535 (c) Use MegaStat or Minitab to calculate estimated seasonal indexes and trend. (Round your answers to 3 decimal places.) Qtr1Index Qtr2Index Qtr3Index Qtr4Index ? ? ? ? (d) In which quarters are shipments highest? Lowest? (You may select more than one answer. Click the box with a check mark for…arrow_forwardTask-2: Amazon wants to reward the customer who has done the most number of transactions, by providing a gift hamper worth 1000 pesos. Find out the customer who has done the most number of transactions [Note: One invoice number corresponds to one transaction]. The output should the one as below: Hurray!The most number of transactions is done by Customer ID: 17850. He has made 45 transactions. He will be rewarded with ou gift hamper worth 1000 pesosarrow_forward
- A correlation coefficient equal to means 100% correlation in the opposing sense O -1 O -100 O 1arrow_forwardCalibri (Body) 9 B I U S aAv 11 fx A B K M 1 COMPUTER CSc 4210/6210 Spring 2022 2 ARCHITECTURE HW 1 Due 25-Jan 11:59 PM 3 Name: Your GSU email: @student.gsu.edu (last 4 digits of your ID) 4 total hw questions=9 This hw covers Lect1 - Lect3 1- Use truth table to prove the following expressions by inserting either logic 'O' or '1', for the left hand side (LHS) and the right hand side (RHS): 6 [(XÂY)+Z*(X+ZX)]L= [X°Y+X°Z*+XY*]L (Solved Example) i- A=XOR to display Å as XOR highlight it and change the font to symbol X Y LHS RHS 1 1 1 1 1 1. 1 1 1 1 1 ii- [v'u +v't'u +v°t]L = [v°(vÅtÂu ")+v°(v'At+vAu )]L V u LHS RHS 1 1 1 1 1 1 1 1 1 1arrow_forwardSection Mean Standard Deviation English 20.3 6.8 Math 20.7 5.4 Reading 21.4 6.5 Science 20.9 5.5 STEM 21.0 5.2 Aisha and Amber both took the ACT on the same day. They both earned a 27, but in different sections. Aisha had a 27 on her Science, but Amber had a 27 on her Math. Which of the girls did better with respect to the other students who took that section? Aisha's z-score: z = Amber's z-score: z = Who did better?arrow_forward
- Using the data below. Estimate the amount of particulate removed when daily rainfall is x = 4.8 units. Daily rainfall, x Particulate removed, y (0.01) (mcg/cum) 4.3 126 4.5 121 5.9 116 5.6 118 6.1 114 5.2 118 3.8 132 2.1 141 7.5 108 O 123 O 125 O 121 O 122 о O 120arrow_forwarda) Normalize the following table to the third normal form. PROJ NUM PROJ NAME 15 Evergreen 18 22 25 Amber Wave Rolling Tide Starflight EMP_NUM 103 101 105 106 102 114 118 104 112 105 104 113 111 106 107 115 101 114 108 118 112 EMP NAME June E Arbough John G News Alice K Johnson William Smithfield David H. Senior Annelise Jones James J. Frommer Anne K. Ramoras * Darlene M. Smithson Alice K Johnson Anne K. Ramoras Delbert K. Joenbrood Geoff B. Wabash William Smithfield Maria D. Alonzo Travis B Bawangi John G. News T Annelise Jones Ralph B. Washington James J. Frommer Darlene M. Smithson 8 JOB CLASS Elect Engineer Database Designer Database Designer Programmer Systems Analyst Applications Designer General Support Systems Analyst DSS Analyst Database Designer Systems Analyst Applications Designer Clerical Support Programmer Programmer Systems Analyst Database Designer Applications Designer Systems Analyst General Support DSS Analyst CHG HOUR HOURS 84.50 105.00 105.00 35.75 96.75 48 10…arrow_forwardYear Airfare 2004 402.26 2005 391.5 2006 405.48 2007 390.3 2008 400.27 2009 359.91 2010 383.48 2011 402.45 2012 406.13 2013 407.99 2014 411.67 2015 395.7 2016 361.94 2017 352.85 2018 346.49 In R language,1) Conduct time series plot of the average airfare data. Question #1: What patterns do you notice in the time series plot of average annual airfare from 2004 to 2018? (a. horizontal pattern, b. clear upward trend, c. clear seasonal effects, d. clear downward trend) 2) Use a simple moving average with n = 3 (3 years) to calculate a forecast for the average airfare in 2019. Question #2: What is the 2019 forecast for average airfare using the simple moving average technique? (Round to two decimal places) 3) Based on the predicted values up to 2018, calculate accuracy measures (MAE, MSE, RMSE, and MAPE) for the simple moving average method. Question #3: What is the MAE for the simple moving average method?(Round to two decimal places) 4) Use a simple…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Database System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill EducationStarting Out with Python (4th Edition)Computer ScienceISBN:9780134444321Author:Tony GaddisPublisher:PEARSONDigital Fundamentals (11th Edition)Computer ScienceISBN:9780132737968Author:Thomas L. FloydPublisher:PEARSON
- C How to Program (8th Edition)Computer ScienceISBN:9780133976892Author:Paul J. Deitel, Harvey DeitelPublisher:PEARSONDatabase Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781337627900Author:Carlos Coronel, Steven MorrisPublisher:Cengage LearningProgrammable Logic ControllersComputer ScienceISBN:9780073373843Author:Frank D. PetruzellaPublisher:McGraw-Hill Education
Database System Concepts
Computer Science
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:9780134444321
Author:Tony Gaddis
Publisher:PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:9780132737968
Author:Thomas L. Floyd
Publisher:PEARSON
C How to Program (8th Edition)
Computer Science
ISBN:9780133976892
Author:Paul J. Deitel, Harvey Deitel
Publisher:PEARSON
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781337627900
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning
Programmable Logic Controllers
Computer Science
ISBN:9780073373843
Author:Frank D. Petruzella
Publisher:McGraw-Hill Education