NMIMS March/April/May 2023 ready assignments – 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


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

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

 

Decision Science

 

  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)

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)

 

  1. 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 

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)

  1. 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.

  1. 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, and Power BI Etc. for creating Graph

Calculate the Correlations

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

ndn 

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 

Grou 

ndnut

(Kg./ 

hectar 

e)

Produ 

ctivit 

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

 

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

 

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