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Month Wise Foreign Tourist Arrivals in India (january 2003- December 2015)

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Decision Sciences I: ASSIGNMENT – I

Part 1A:

Question 1.

Month Wise Foreign Tourist Arrivals in India (January 2003- December 2015)

(Please refer the Excel sheet 1711384_CE1.xls for the data)

Source of data: https://data.gov.in/catalog/tourism-statistics-india

Tourism is an industry that has historically been tied to ever growing Globalization trends. In the 21st Century, the tourism industry in India has seen an ever-increasing growth. The below is the month- wise analysis of the number of foreign tourists arrivals in India in the 21st century:

  1. Summary Statistics

Descriptive Statistics - Foreign Tourists

Mean

457668.9359

Standard Error

13190.87554

Median (Q2)

445098

Mode

-

Standard Deviation

164753.9827

Sample Variance

27143874830

Coefficient of Variation

35.99850674

Inter-Quartile Range (IQR)

217215.25

Kurtosis

-  0.32258713

Skewness

0.449579081

Range

771215

Minimum

141508

Maximum

912723

Sum

71396354

Count

156

The data set taken here is that of number of foreign tourists arrival in India month-wise in 21st century (Jan,2003 – Dec,2015). The summary statistics presented here gives a lot of useful information.

  • The minimum and maximum value in the data set is 141508 (May, 2003) and 912723 (Dec, 2015) respectively. This clearly shows that there is positive increase in the number of foreign tourists in India from 2003 to 2015.

  • The mean value of the data is 457668.9359 which shows that in a period of 13 years, average number of foreign tourists arriving in India per month is around 457670. This indicates that Tourism industry in India is growing at a very fast pace.
  • The median value is 445098 which is very close to the mean value thereby conveying the ever-increasing growth of foreign tourism in India.
  • Thus, tourism industry in India has vast potential for generating employment and earning large amount of foreign exchange besides giving a fillip to the country’s overall economic and social development. 

  1. Pictorial Representation of Data

[pic 1]

Number of tourists per year

(January 2003 to Dec 2015)

Year

Number of Tourists

2003

2726214

2004

3457477

2005

3918610

2006

4447167

2007

5060092

2008

5282603

2009

5167699

2010

5775692

2011

6309222

2012

6577745

2013

6967601

2014

7679099

2015

8027133

   

Number of Tourists visiting India yearly

The above bar graph gives the number of foreign tourists visiting India on a yearly basis from 2003 to 2015. The chart clearly depicts the year-on-year growth in the tourism industry starting from 2726214 in 2003 to 8027133 in 2015. The growth percentage over the years is approximately 7.5% which is quite significant.  Along with the bar chart a table shows number of tourists per year.

Considering the growth in this industry, it should be the area of focus for the Government and other NGOs to device a mechanism to realize the full potential of India and improve the employment conditions as well. This will play a vital role to ensure the smooth and holistic development of the country.

[pic 2]

[pic 3]

Percentage monthly distribution of tourists

  • The 3-D pie char depicts the percentage of foreign tourists arriving in India in the year 2003. As is clearly visible, December has the highest percentage of tourists (12%) and May has the lowest percentage (5%). The similar trend is visible for all the years from 2003 to 2015.
  • The percentage of tourists increases from May (5%) to Dec (12%) and it further decreases to Apr (6%). This trend explains the fact that weather plays a very important role in the tourism industry.
  • The same trend is visible for all the years from 2003 to 2015 in the below line diagram, i.e, for every year tourism reaches the peak in Dec and it is at its minimum in May.
  • It can be concluded from the above trend that climate and weather are important factors in tourists’ decision making and influences the successful operation of tourism businesses.[pic 4]

Part 1B:

Question 2.

Page 209/Q-50

A telephone survey to determine viewer response to a new television show obtained the following data:

  1. What is the probability that a randomly selected viewer will rate the new show as average or better?

Rating (x)

Frequency

P(x)

Poor

4

0.08

Below Average

8

0.16

Average

11

0.22

Above Average

14

0.28

Excellent

13

0.26

Total Count

50

1

Ans. The probability that a randomly selected viewer will rate the show as average or better is 0.76

...

...

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