Business Statistics NMIMS Solved Assignments April 2023

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Business Statistics NMIMS Solved Assignments April 2023

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Business Statistics NMIMS Solved Assignments April 2023

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NMIMS Global Access
School for Continuing Education (NGA-SCE)
Course: Business Statistics
Internal Assignment Applicable for April 2023 Examination

Assignment Marks: 30

Instructions:
 All Questions carry equal marks.
 All Questions are compulsory
 All answers to be explained in not more than 1000 words for question 1 and 2 and for
question 3 in not more than 500 words for each subsection. Use relevant examples,
illustrations as far as possible.
 All answers to be written individually. Discussion and group work is not advisable.
 Students are free to refer to any books/reference material/website/internet for attempting
their assignments, but are not allowed to copy the matter as it is from the source of
reference.
 Students should write the assignment in their own words. Copying of assignments from
other students is not allowed.
 Students should follow the following parameter for answering the assignment questions.

1. Based on the following data develop the forecasting model (adopt Exponential Smoothing
Technique) by considering the following alpha levels. α = 0.2, 0.4, 0.6, 0.8.
Write your conclusion after calculations of Errors (MAD and MSE only).
Forecast FTAs (foreign tourist arrival) for the year 2018.
Data: The following data shows the Foreign Tourist Arrival in the India from 1991 to 2017

Year FTAs in India (in Million)
1991 1.68
2001 2.54
2002 2.38
2003 2.73
2004 3.46
2005 3.92
2006 4.45
2007 5.08
2008 5.28
2009 5.17
2010 5.78
2011 6.31
2012 6.58
2013 6.97
2014 7.68
2015 8.03
2016 8.8
2017 10.04
Data Source: Data.gov.in
Note: You are advised to calculate manually, do not use any software.
(10 Marks)

2. Calculate the Correlations for the following pairs of variables and write your Conclusion.
 In Migration of Persons from other states (Census of India) & Total MSMEs
 In Migration of Persons from other states (Census of India) & Active Companies
 In Migration of Persons from other states (Census of India) & 2017-18 GSDP –
CURRENT PRICES (` in Crore)
 Total MSMEs & Active Companies
Note: Use MS EXCEL, SPSS, SAS etc. for the calculations.

State Total MSMEs Active Companies In Migration of Persons from
other states (Census of India)
2017-18 GSDP – CURRENT
PRICES (` in Crore)
ANDAMAN &
NICOBAR ISLANDS
6,061 319 81,267 7,871
ANDHRA PRADESH 6,41,929 1,16,210 15,91,890 15,46,313
ARUNACHAL
PRADESH
60,932 237 1,36,010 22,432
ASSAM 20,189 6,346 4,95,699 2,88,691
BIHAR 9,02,520 20,867 11,11,954 4,84,740
CHANDIGARH 11,209 7,956 6,33,966 38,760
CHHATTISGARH 69,758 7,109 12,67,668 4,84,740
DELHI 1,63,821 2,16,531 63,30,065 6,86,824
GOA 8,620 4,125 2,69,689 70,494
GUJARAT 8,07,378 62,619 39,16,075 13,28,068
HARYANA 1,85,486 30,868 36,26,318 6,49,592
HIMACHAL
PRADESH
14,674 3,344 3,95,504 1,38,351
JAMMU & KASHMIR 9,399 2,745 1,55,187 1,37,427
JHARKHAND 1,57,813 9,554 21,95,521 2,76,243
KARNATAKA
3,32,872 68,333 32,47,660
13,57,579
KERALA 1,25,934 31,244 6,54,423 7,01,577
MADHYA PRADESH 9,34,293 22,315 27,44,332 7,24,729
MAHARASHTRA 16,92,859 2,31,912 90,87,380 24,11,600
MANIPUR 34,423 434 20,100 23,835
MEGHALAYA 2,208 560 1,07,915 30,790
MIZORAM 3,238 66 41,380 18,737
NAGALAND 1,543 235 1,08,020 24,492
ODISHA 1,19,291 15,204 8,55,096 4,34,769
PUDUCHERRY 10,539 1,282 3,39,967 32,962
PUNJAB 2,03,394 16,909 24,88,299 4,78,636
RAJASTHAN 5,72,546 37,022 26,04,298 8,35,170
SIKKIM 875 2 61,163 23,495
TAMIL NADU 10,32,490 76,675 16,50,771 14,61,841
TRIPURA 5,936 317 87,378 44,219
UTTAR PRADESH 8,87,413 70,863 40,61,933 14,60,443
UTTARAKHAND 40,443 4,792 12,50,575 2,22,836
WEST BENGAL 2,31,190 1,35,844 23,81,045 9,99,585
Data Source https://data.gov.in/ https://data.gov.in/ https://censusindia.gov.in/ https://data.gov.in/
(10 Marks)

3. a. Summarized the following data by calculating the mean and standard deviation.
(5 Marks)
Note: You are advisable to use EXCEL. You are supposed to Copy the numbers (final
calculations) from EXCEL and paste them into your word document.
State District Number Of Indigenous
(Desi) Total Cattle
Total
Buffalo
UTTARAKHAND Uttarkashi 82991 25945
UTTARAKHAND Chamoli 132165 37922
UTTARAKHAND Rudraprayag 71277 31115
UTTARAKHAND Tehri Garhwal 80833 79394
UTTARAKHAND Dehradun 87753 52185
UTTARAKHAND Garhwal 235412 30076
UTTARAKHAND Pithoragarh 108417 37056
UTTARAKHAND Bageshwar 70863 31432
UTTARAKHAND Almora 132038 77444
UTTARAKHAND Champawat 45506 18599
UTTARAKHAND Nainital 101009 77759
UTTARAKHAND Udham Singh Nagar 63311 152911
UTTARAKHAND Hardwar 63728 214480
Data Source: Ministry of agriculture and farmers’ welfare.

3. b. Write about the general pattern (here, time series component) across the given years using
an appropriate graph. (5 Marks)

Note: You may use EXCEL, Tableau, Power BI Etc. for creating Graph
PLEASE CHECK THE TABLE BELOW

Year Pro
duc
tivi
ty
Gro
und
nut
(Kg
./he
ctar
e)
Prod
uctiv
ity
Rape
seed
&
Must
ard
(Kg./
hecta
re)
Year Prod
uctiv
ity
Grou
ndnu
t
(Kg./
hecta
re)
Prod
uctiv
ity
Rape
seed
&
Must
ard
(Kg./
hecta
re)
Year Prod
uctiv
ity
Grou
ndnu
t
(Kg./
hecta
re)
Prod
uctiv
ity
Rape
seed
&
Must
ard
(Kg./
hecta
re)
Year Produ
ctivit
y
Grou
ndnut
(Kg./
hectar
e)
Produ
ctivit
y
Rapes
eed &
Musta
rd
(Kg./
hectar
e)
1950-51 775 368 1968-69 653 469 1986-87 841 700 2003-04 1357 1159
1951-52 649 393 1969-70 720 493 1987-88 855 748 2004-05 1020 1038
1952-53 611 408 1970-71 834 594 1988-89 1132 906 2005-06 1187 1117
1953-54 811 389 1971-72 823 396 1989-90 930 831 2006-07 866 1095
1954-55 766 425 1972-73 585 545 1990-91 904 904 2007-08 1459 1001
1955-56 752 336 1973-74 845 493 1991-92 818 895 2008-09 1163 1143
1956-57 783 411 1974-75 724 612 1992-93 1049 776 2009-10 991 1183
1957-58 734 387 1975-76 935 580 1993-94 941 847 2010-11 1411 1185
1958-59 828 426 1976-77 747 496 1994-95 1027 958 2011-12 1323 1121
1959-60 708 365 1977-78 866 460 1995-96 1007 916 2012-13 996 1262
1960-61 745 467 1978-79 835 525 1996-97 1138 1017 2013-14 1750 1188
1961-62 725 425 1979-80 805 411 1997-98 1040 668 2014-15 1400 1089
1962-63 695 417 1980-81 736 560 1998-99 1214 869 2015-16 1465 1183
1963-64 769 300 1981-82 972 541 1999-00 766 960 2016-17 1398 1304
1964-65 814 507 1982-83 732 577 2000-01 977 935 2017-18 1893 1410
1965-66 554 446 1983-84 940 673 2001-02 1127 1002 2018-19 1422 1511
1966-67 604 408 1984-85 898 771 2002-03 694 854 2019-20 2063 1331
1967-68 759 483 1985-86 719 674 2020-21 1676 1511

 

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