a statistic tipu

A STATISTICAL REPORT ON VISITORSOF PATENGA SEA BEACH IN

CHITTAGONG DISTRICT

Submitted to the

DEPARTMENT OF STATISTICSUNIVERSITY OF CHITTAGONGCHITTAGONG, BANGLADESH.

1

A DISSERATION SUBMITTED TOTHE UNIVESITY OF CHITTAGONG IN PARTIAL FULFILLMENT

OF THE REQUIREMENT FOR THE DEGREE OF MASTERS OF SCIENCE (M S)

IN STATISTICS

SUBMITTED BY

EXAM ROLLS NO: 2009/32 Registration No: 12737

Season: 2008-2009 Year of Exam: 2009

CHITTAGONG DEPARTMENT OF STATISTICSOCTOBER, 2011 UNIVERSITY OF CHITTAGONG CHITTAGONG, BANGLADESH

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Abstract

This study is an attempt to examine the characteristics of the Visitors in

Patenga Sea Beach, Chittagong. A total of 105 randomly selected

respondents (70 males and 35 females) were surveyed. An opinion poll has

been conducted in the recreational Patenga Sea Beach. On the light of the

objectives of the study- bi-variate analysis has been carried out by

employing Chi-square test of independence to examine whether each of the

selected factors has significant association with type of income, age, and sex

and security condition. Here it indicates that age of the visitors, educational

qualification of the visitors, and monthly income of visitors, from where

they have came, and numbers of city people have highly significant effect on

the types of visitors. Other significant factors found to be are income, sex,

age, opinion about government steps, accompany of visitors.

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Acknowledgement

I would express my immense indebtedness, sincere thanks and deep

appreciation and regard to my reverend teacher and research supervisor for

his untiring guidance, valuable suggestions, corrective advice and assistance

for successful completion of this research work in a befitting manner. I also

express my gratitude to my beloved all other teachers of the department of

statistics, University of Chittagong.

I particularly offer my heartfelt gratitude to the numerous responds who

have given their valuable time and co-operation by providing the required

information. I hope that this project shall achieve a great recognition if it is

considered from a generous and affectionate angle of vision.

At last I am alone responsible for the errors and shortcoming in this work.

Chittagong University, Chittagong. Examination Roll: 2009/32

October, 2011. Registration No: 12737

Session: 2008-2009

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CONTENTS Page number

Chapter-1: INTRODUCTION 06-11 1.1. Introduction1.2. Objective of the Study1.3. Importance of the Study1.4. Organization of the Study1.5. Selection and Collection of Data1.6. Preparing the Questionnaire1.7. Data Processing and Analysis1.8. Limitations

Chapter-2: UNIVARIATE ANALYSIS 12-19

Chapter-3: BIVARIATE ANALYSIS 20-26

Chapter-4: SUMMARY AND CONCLUSION 27-30

APPENDIX: 31-33Questionnaire Reference

Chapter-1

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INTRODUCTION

1.1. INTRODUCTION:

The city of Chittagong is a major tourist attraction in Bangladesh. Its green hills and forests, its broad sandy beaches and its fine cool climate always attract the holiday-markers. Described by the Chinese traveler poet, Huen Tsang (7th century AD) as "a sleeping beauty emerging from mists and water" and given the title of "Porto Grande" by the 16th century Portuguese seafarers. Chittagong is filled with dense green forests, endless rolling hills, a moderate climate and breathtaking beaches. Since the 7th century, Chittagong has been mentioned in many documents as a seaport of mystical beauty and magnificent charm. The bustling harbor stands in stark contrast to the tranquility and peaceful surroundings of the city.

Chittagong has been a seaport since ancient times. Arab traded with the port from the 9th Century AD. The Chittagong region was under the Visalia kingdom of Arakan during the Sixth to Eighth Centuries and under the Mrauk U kingdom of Arakan in the 16th and 17th Centuries. Chittagong had been under the control of the Arakanese or kings of Arakan for hundreds of years. An account by historian Lama Taranath has revealed a Buddhist king Gopichandra had his capital at Chittagong in the Tenth Century, and according to Tibetan tradition, Chittagong was the birthplace of the Buddhist Tantric Tilayogi, who lived and worked in the Tenth Century. In the Fourteenth Century, explorer Ibn Batuta passed through Chittagong during his travels.

Sultan Fakruddin Mubarak Shah of Sonargoan conquered Chittagong in 1340. Sultan Giasuddin Mubarak Shah constructed a highway from Chittagong to Chandpur and ordered the construction of many lavish mosques and tombs. After the defeat of Mahmud Shah in the hands of Sher Shah in 1538, the Arakanese regained Chittagong. From this time onward, until its conquest by the Mughals, this region was under the control of the Portuguese and the Magh pirates (a notorious name for Arakanese) for 128 years.

The Mughal Commandar Shayesta Khan and his son Buzurg Umed Khan expelled the Arakanese from the area in 1666 and established Mughal rule

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there. They renamed Chittagong as Islamabad. The city was occupied by Burmese troops shortly in First Anglo-Burmese War in 1824 and the British increasingly grew active in the region and it fell under the British Empire.

Many visitors to Bangladesh find Chittagong to be the perfect tourist destination. It is filled with dense green forests, endless rolling hills, a moderate climate and breathtaking beaches. Since the seventh century, Chittagong has been mentioned in many documents as a seaport of mystical beauty and magnificent charm. The bustling harbor stands in stark contrast to the tranquility and peaceful surroundings of the city. And attractions, such as Patenga Beach, ensure a constant influx of travelers and visitors. The Beach itself is quite sandy, with a few rocky patches here and there. Most visitors come to Patenga Beach as it is known for having some of the most stunning sunsets and sunrises in Bangladesh. The more adventurous travelers will also be able to enjoy a river cruise on the Karnaphuli River, or a boat trip onto the ocean waves.

Nature enthusiasts will find Patenga Beach to be a haven for most of the wading bird species of Bangladesh and if lucky, bird watchers will also be able to see spoon-billed sandpipers running around. If the crowds at Patenga Beach become too much, visitors should move on to Parky Beach, which is just a quieter extension of Patenga. Here, the beach is lined with massive shady palm trees and fishing boats. Fishermen sit around peacefully, going about their daily chores while sea gulls patiently circle overhead waiting for the odd scrap of fish to be thrown their way.

It is the perfect location for a quiet picnic or day of relaxation. Visitors will find Patenga Beach to be diverse, fascinating and, above all beautiful. It is a tourist destination that lures visitors with the attractions of good weather, natural splendor and the quiet lapping of the ocean waves at their feet. Every moment at Patenga Beach is a photographic opportunity and an unforgettable memory in the making.

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http://www.birds.com/species/

http://www.bangladesh.com/cities/chittagong/

Description of the Study Area (Patenga Sea Beach):

Relax on the Sands of Patenga Beach

It lies in the extreme southeast of the country between 20_35' and 22_59' north latitude and 91_27' and 92_22' east longitude. The city now covers an area of 168 sq. km., but the statistical metropolitan area (SMA) is 986.34 sq. km. and has a population of near to three million (BBS 2000). Chittagong is geographically well placed for the visitors of the country.Country BangladeshDivision: Chittagong Division.District: Chittagong District.Establishment: 1340.Granted city status:1863Government: - City Mayor Md. Monzur Alam.Area: - Metropolis 168 km2 (64.9 sq mi)Population: (2010) - Metropolis2,979,107Density: 15,351/km2 (39,758.9/sq mi) - Metro 3,858,093 Time zone BST: (UTC+6)Postal code: 4000GDP (2010): $25.5 billion

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Table 1

Patenga Sea Beachs in Geographical location

http://en.wikipedia.org/wiki/Gross_domestic_product

http://en.wikipedia.org/wiki/List_of_postal_codes_in_Bangladesh

http://en.wikipedia.org/wiki/UTC%2B6

http://en.wikipedia.org/wiki/Bangladesh_Standard_Time

http://en.wikipedia.org/wiki/Time_zone

http://en.wikipedia.org/wiki/Metropolitan_area

http://en.wikipedia.org/wiki/Metropolis

http://en.wikipedia.org/wiki/Metropolis

http://en.wikipedia.org/w/index.php?title=M_Monzur_Alom&action=edit&redlink=1

http://en.wikipedia.org/wiki/Mayor

http://en.wikipedia.org/wiki/Chittagong_District

http://en.wikipedia.org/wiki/Districts_of_Bangladesh

http://en.wikipedia.org/wiki/Chittagong_Division

http://en.wikipedia.org/wiki/Divisions_of_Bangladesh

http://en.wikipedia.org/wiki/Bangladesh

http://en.wikipedia.org/wiki/Countries_of_the_world

Calling code: 31 Patenga (Bangla: পতে�ঙ্গা) is a sea beach located 14 kilometers south of the

port city of Chittagong, Bangladesh. It is near the mouth of the Karnaphuli

River. Sunset at Patenga Beach is Cloudy weather. Patenga is a popular

tourist spot. The beach is very close to Bangladesh Naval Academy of

Bangladesh Navy, and Shah Amanat International Airport. The beach width

is narrow and swimming in the seas is not recommended. Part of the

seashore is built-up with concrete walls. Also large blocks of stones have

been laid out to prevent erosion. During 1990s a host of restaurants and

kiosks have sprouted out around the beach area. After the sun-down, drug-

peddlers start to approach visitors. Also, alcohol peddling is very common.

Lighting of the beach area has enhanced the security aspect of visiting in the

evening.

1.2. Importance of the Study:

Through the study, we have expected to give a brief picture regarding the socio-economic characteristics of the visitors of the Patenga sea Beach. The study, I believe, will give some important information to the planners with valuable inside required for policy making and their meaningful implementation. For the development of the tourism of our country as a whole, such study is essential and is of great importance. Also it is expected that such type of study would be of greater interest for the visitors coming in the Patenga Sea Beach.

1.3. Objective of the Study

Generally, social status, income, expenditure, etc are the main determinants in our social life, for every professional people. We are going to study the different types of the visitors in different income in Chittagong district at Patenga Sea Beach.

The main objectives are to study:

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http://en.wikipedia.org/wiki/Bangla

http://en.wikipedia.org/wiki/Telephone_numbers_in_Bangladesh

The characteristics of the visitors are of Patenga Sea Beach in Chittagong district.

The association of several background characteristics of the visitors with their types of income.

Various factors affecting to the visitors at the sea beach. To know the attitude of visitors about the natural beauty of Patenga

Sea Beach.

1.4. Organization of the Study:

The work has been organized under the guidance of my reverent teacher from the department of statistics, University of Chittagong.

At first I prepared a questionnaire according to the advice of my respected teacher. After preparing a questionnaire I have collected data from 105respondents. By consulting my project supervisor I perform my analysis.

1.5. Selection and Collection of Data:There are many techniques to select data. Here, in this study, we used the technique simple random sampling. The data should be collected keeping in view the objectives of the survey. All kinds of mistakes have been corrected where it was found in questionnaire and answers have been observed carefully. As a result there is no irrelevant information. The tendency was should not be collected too many data but the important one and some of which are never subsequent examined and analyzed. The process of data collection depends upon the kind of study. The data was collected using interviewed method. Attention was given to record actual and true statement by the respondent. The questionnaire was filled up with verbal not discuss anything with other. I’ve tried my best to collect all information, which are related to my study.

1.6 Preparation and Questionnaires:The questionnaire was designed in such a way that maximum information may be obtained within short time. The questionnaire was prepared in simple short language. Most of the ambiguous were avoided. The language of the questionnaire was easy English, so that the respondents understood properly.

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1.7. Data Processing and Analysis:

The study conducted interviews on people visiting various prominent visitors of Chittagong sea beach with semi-structured questionnaires designed for this purpose. A total of 105 respondents (70males and 35 females) were surveyed representing different demographic and socio-economic conditions. The selection of respondents was done randomly. The `hit and miss' method was applied in the survey. In this method, the visitors were interviewed on basis of their first appearance. Those who were not interested or reluctant to respond were not bothered. The interviewing of the people were completed employing 4 weekends (Fridays) and 3 working days in the months of November 2011. Data were analyzed on the basis of socio-economic and demographic factors of the respondents.

1.8. Limitations:

Every project work has some inherent limitation, which should be pointed out by the concerned authority.Since survey work is done on part of population for saving cost and time, hence the result is generally expected to affect by in addition to some hidden errors. In the period of interviewing some of the respondents may not provide actual information either consciously or unconsciously. For instance, the youngest persons are tried to tell his/her age less some quantity and the oldest persons are tried to tell his/her age plus some quantity. Most of the respondents are tried to hide their actual income including many other prestige concern questions.Since alcohol peddling is very common in Patenga Sea Beach, so their attitude is different from the right person. In these circumstances, I tried of my best to collect actual information formation from the respondents after describing them the background of the study. In case of question about visiting I faced problem to get correct answers from the visitors because of shyness and other causes.

Finally, it is needless to say that users need careful and awareness while using the finding of the study.

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Chapter-2:UNIVARIATE ANALYSIS

Table1: Percentage distribution of respondent according to their sex.

Sex of the Respondent

Frequency

70

35

01020304050607080

Male Female

Frequency

Comment: From the above graph we see that 66.7% respondents are male and 33.3% are female respondent.

Table2: Percentage distribution of respondent according to their marital status

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Sex Frequency Percentage

Cumulative percentage

Male Female Total

70 66.7 66.735 33.3 100.0

105 100.0

Marital status of the Visitors

Married31%

Unmarried67%

Others2%

Married

Unmarried

Others

Comment: From the above table we see that 31.4% respondents are married, 66.7% are unmarried and 1.9% is others.

Table3: Percentage distribution of respondent according to their Religion of respondent

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Marital statusFrequency Percent

Cumulative Percentage

Married 33 31.4 31.4Unmarried 70 66.7 98.1

Others 2 1.9 100.0Total 105 100.0

Religion Frequency Percentage Cumulative PercentageIslam 91 86.7 86.7Hindu 13 12.4 99.0others 1 1.0 100.0Total 105 100.0

86.7 91

12.4 131 1

0

20

40

60

80

100

Islam Hindus others

Religion of the Respondent

PercentageFrequency

Comment: From the above table we see that 86.7% respondents are Muslims, 12.4% are Hindus and 1.0% is others.

Table4: Percentage distribution of respondent according to their Education of respondent.

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Education Frequency Percentage


Primary 14 13.3 13.3Secondary 31 29.5 42.9graduate & above 60 57.1 100.0Total 105 100.0

Comment: From the above table we see that 13.3% respondent are Primary, 29.5% are Secondary and 57.1% are graduate & above.

Table5: Percentage distribution of respondent according to their Occupation of respondent.

Occupation Frequency Percentage Cumulative PercentageStudent 30 28.6 28.6Service holder 52 49.5 78.1Business man 11 10.5 88.6others 12 11.4 100.0Total 105 100.0

Comment: From the above table we see that 28.6% respondents are Student, 49.5% are Service holder and 10.5% are Business man and 11.4% are others.

Table6: Percentage distribution of respondent according to their income.

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Income Frequency Percentage Cumulative PercentageNo income 14 13.3 13.3Below 5000 taka 12 11.4 24.85000-10000 taka 31 29.5 54.310000-15000 taka 18 17.1 71.4Above 15000taka 30 28.6 100.0Total 105 100.0

Comment: From the above table we see that 13.3% respondents have no income, 11.4% have below 5000 taka income, 29.5% have 5000-10000 taka income, 17.1% have 10000-15000 taka income and 28.6% have above15000 taka income.

Table7: Respondent no. of visited time.

Frequency Percentage Cumulative PercentageFirst time 11 10.5 10.5Second time 12 11.4 21.9More than second 82 78.1 100.0

Total 105 100.0

Comment: From the above table we see that 10.5% respondents have visited first time, 11.4% have visited second time, 78.1% have visited more than second time.

Table8: Percentage distribution of respondent for preference of scenery.

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Frequency PercentageCumulative Percentage

To see sunset 27 25.7 25.7Traveling by boat 10 9.5 35.2To see sea 55 52.4 87.6Others 13 12.4 100.0Total 105 100.0

Comment: From the above table we see that 25.7% respondents have come to see sunset, 9.5% have come to Traveling by boat, 52.4% have come to see sea, and 12.4% have come to for other purpose like as romance or to play cricket, football etc.

Table9: Percentage distribution of Security condition:

Security condition Frequency Percent Cumulative Percent

Yes 99 94.3 94.3

No 6 5.7 100.0

Total 105 100.0

Comment: From the above table we see that 94.3% respondents think Patenga Beach has enough secured and 5.7% respondents think Patenga Beach has not enough secured.

Table10: Percentage distribution of visit other place except patenga.

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Visit other place Frequency Percent Cumulative Percentyes 98 93.3 93.3no 7 6.7 100.0Total 105 100.0

Comment: From the above table we see that 93.3% respondents visit other place except Patenga Beach and 6.7% respondents visit Patenga Beach only.

Table11: Percentage distribution of guidance to come patenga.

Guidance Frequency Percent Cumulative PercentYes 15 14.3 14.3No 90 85.7 100.0Total 105 100.0

Comment: From the above table we see that 14.3% visitor s has taken guideline to come Patenga Beach and 85.7% visitors do not take any guideline to come Patenga Beach.

Table12: Suggestion about Patenga Beach.

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Opinion on Patenga Beach Frequency Percentage


Yes 24 22.9 22.9No 81 77.1 100.0Total 105 100.0

22.9

77.1

24

81

0

20

40

60

80

100

Percentage Frequency

Opinion about Patenga Sea Beach

YES

NO

Comment: From the above table we see that 22.9 % visitors think govt. has taken adequate step to develop Patenga Beach and 77.1% visitors do not think govt. has taken adequate step to develop Patenga Beach.

Table13: Percentage distribution of way to come Patenga Beach.

Frequency Percent Cumulative PercentRoad way 88 83.8 83.8Other way 17 16.2 100.0Total 105 100.0

Comment: From the above table we see that 83.8% visitors has come road way to Patenga Beach and 16.2% has come other way to Patenga Beach.

CHAPTER-3

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BIVARIATE ANALYSIS

Table1: Cross tabulation for association between respondent monthly income status and sex of the respondents:

Sex of respondent * respondent income status

respondent income status

Total

Unsatisfactory income

status

satisfactory income status

Sex ofrespondent

male Count 28 42 70 Expected

Count 38.0 32.0 70.0

female

Count 29 6 35Expected Count 19.0 16.0 35.0

Total Count 57 48 105 Expected

Count 57.0 48.0 105.0

HYPOTHESIS:

Ho: There is no association between respondent monthly income status and sex of the respondents.

H1: There is an association between respondent monthly income status and sex of the respondents.

Here the calculated value of chi-square is- χ²cal =17.270 with 1 d.f.

Tabulated value of chi-square at 5% level of significance with 1 d.f. is- χ² tab = 3.841

Comment: Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an

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association between monthly income of the respondents and sex of the respondents.

Table2: Cross tabulation for association between respondent monthly income status and educational qualification of the respondents.

Respondent monthly income status* Educational qualification

respondent income status Total

Unsatisfactory income

status

satisfactory income

status Respondent educational qualification

Primary Count 12 5 17

Expected Count 9.2 7.8 17.0

Secondary Count 20 8 28 Expected

Count 15.2 12.8 28.0 graduate &

aboveCount 25 35 60

Expected Count 32.6 27.4 60.0

Total Count 57 48 105 Expected

Count 57.0 48.0 105.0

HYPOTHESIS:

Ho: There is no association between respondent monthly income status and educational qualification of the respondents.

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H1: There is an association between respondent monthly income status and educational qualification of the respondents.Here the calculated value of chi-square is- χ²cal =8.986 with 2 d.f.


Comment: Here since the calculated value of χ² is greater than the tabulated

value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject

the null hypothesis and accept the alternative hypothesis. i.e., there is an

association between monthly income of the respondents and educational

qualification of the respondents.

Table3: Cross tabulation for association between respondent monthly income status and Respondent age group.

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Income status * Respondent age

Respondent age group

TotalUp to

25 25 -35above

35respondent income status

Unsatisfactory income status

Count 37 15 5 57Expected Count 22.8 23.9 10.3 57.0

satisfactory income status


Total Count 42 44 19 105Expected Count 42.0 44.0 19.0 105.0

HYPOTHESIS:

Ho: There is no association between respondent monthly income status and Respondent age group.

H1: There is an association between respondent monthly income status and Respondent age group.

Here the calculated value of chi-square is- χ²cal =32.566 with 2 d.f.


Comment: Here since the calculated value of χ² is greater than the tabulated


the null hypothesis andaccept the alternative hypothesis. i.e., there is an

association between monthly income of the respondents and Respondent age

group.

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Table4: Cross tabulation for association between respondent accompany and Respondent age group.

Respondent accompany * Respondent age group Cross tabulation

Respondent accompany * Respondent age

Respondent age group Total

Up to 25 25 -35

above 35

Respondent accompany

Famiy Count 5 5 9 19 Expected

Count 7.6 8.0 3.4 19.0 Friend Count 23 23 5 51 Expected

Count 20.4 21.4 9.2 51.0 Others Count 14 16 5 35 Expected

Count 14.0 14.7 6.3 35.0

Total


HYPOTHESIS:

Ho: There is no association between respondent monthly income status and Respondent age group.

H1: There is an association between respondent monthly income status and Respondent age group.Here the calculated value of chi-square is- χ²cal =14.562with 4d.f.


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Comment: Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and Respondent accompany.

Table5: Cross tabulation for association between sex of respondent and opinion about Sea Beach.

Opinion about Govt. step

TotalYes NoSex of respondent

male Count 13 57 70Expected Count 16.0 54.0 70.0

female Count 11 24 35Expected Count 8.0 27.0 35.0

Total Count 24 81 105Expected Count 24.0 81.0 105.0

HYPOTHESIS:

Ho: There is no association between sex of respondent and opinion about beach H1: There is an association between sex of respondent and opinion about beach Here the calculated value of chi-square is- χ²cal =9.154with 1 d.f.

Tabulated value of chi-square at 5% level of significance with 1 d.f. is- χ² tab = 3.84 Comment: Here since the calculated value of χ² is greater than the tabulated


the null hypothesis and accept the alternative hypothesis. i.e., there is an

association between sex of respondent and opinion about beach

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Chapter-4Summary and Conclusion

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The research work has given a brief picture regarding the socio economic

characteristics of the visitors of the Patenga Sea Beach, which are given

below:

1. From the table we see that 66.7% respondents are male and 33.3% are

female respondent.

2. From the table we see that 31.4% respondents are married, 66.7% are

unmarried and 1.9% is others

3. From the table we see that 13.3% respondent are Primary, 29.5% are

Secondary and 57.1% are graduate & above.

4. From the table we see that 86.7% respondents are Muslims, 12.4% are

Hindus and 1.0% is others.

5. From the table we see that 28.6% respondents are Student, 49.5% are

Service holder and 10.5% are Business man and 11.4% are others.

6. From the table we see that 13.3% respondents have no income, 11.4%

have below 5000 taka income, 29.5% have 5000-10000 taka income,

17.1% have 10000-15000 taka income and 28.6% have above15000

taka income

7. From the table we see that 10.5% respondents have visited first time,

11.4% have visited second time, 78.1% have visited more than second

time.

8. From the table we see that 25.7% respondents have come to see

sunset, 9.5% have come to Traveling by boat, 52.4% have come to see

sea, and 12.4% have come to for other purpose like as romance or to

play cricket, football etc.

9. From the table we see that 94.3% respondents think Patenga Beach has

enough secured and 5.7% respondents think Patenga Beach has not

enough secured.

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10.From the table we see that 93.3% respondents visit other place except

Patenga Beach and 6.7% respondents visit Patenga Beach only.

11. From the table we see that 14.3% visitor s has taken guideline to come

Patenga Beach and 85.7% visitors do not take any guideline to come

Patenga Beach.

12. From the table we see that 22.9 % visitors think govt. has taken

adequate step to develop Patenga Beach and 77.1% visitors do not

think govt. has taken adequate step to develop Patenga Beach.

13. From the table we see that 83.8% visitors has come road way to

Patenga Beach and 16.2% has come other way to Patenga Beach.

14.Here since the calculated value of χ² is greater than the tabulated value

at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject

the null hypothesis and accept the alternative hypothesis. i.e., there is

an association between monthly income of the respondents and sex of

the respondents.

15.Here since the calculated value of χ² isgreater than the tabulated value



an association between monthly income of the respondents and

educational qualification of the respondents.





Respondent age group.



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an association between sex of respondent and opinion about Sea

Beach.





Respondent accompany

This study was mainly based on a particular area of the Chittagong City at

Patenga Sea Beach. The visitors had not only come from different region of

Bangladesh but also abroad. The study of the different characteristics of the

visitors may be representative one and indicate the total picture of the

visitors of Bangladesh.

It is remarkable that maximum numbers of visitors are educated, only little

number of visitors is others. Again it is mention that majority of visitors are

service holder and come from Chittagong city.

Since KEPZ and CEPZ are near to the Patenga Sea Beach, it is also

remarkable that (29.5%) respondents have monthly income 5000-10000

taka.

Most of the visitors had come in Patenga Sea Beach to see Sea and Sunset;

they are lover of nature and beauty.

Since (77.1%) visitors think that Govt. has not taken adequate staps, so they

want hotel facilities, like 3, 4 or 5star hotels etc.

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Govt. could earn more money from this tourist sector, if they give

concentration about Patenga Sea Beach.

To increase the rate of visitors, the government in the authority should be

attentive; otherwise it will not be able to develop national economical

condition.

We had tried our best to overcome such a problem within short time. It

might have some defects but still we are fully confident of its greatest

success as perfect work of its own figure. If it is consider with a sympathetic

point of view.

Questionnaire

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Topics: A study on the visitors of Patenga Sea Beaches of Chittagong and analysis their economic and demographic status.

Special request : The questionnaire related to my research project to be submitted for the degree of Master of Science (M.S.) in Statistics under the University of Chittagong , Chittagong Bangladesh. I solicit your full co-operation for getting filled up. All data shall be analyzed in aggregate and hence would not represent any individual opinion or identity. I also assure that the collected information will be kept confidential and furthers use only for my academic purposes.

1) Name of the respondent:…………………………

2) Age of the respondent:…………………………… (in years)

3) Sex : [put tick marks]

□ Male □ Female

4) Marital status :

□ Married □ Unmarried □ Others

5) Religion :

□ Islam □ Hindus □ Others

6) Educational qualification :

□ Illiterate □ Primary □ Secondary □ Graduate & above

7) Occupation of the respondent:

□ Student □ Service holder □ Business man □others

8) Monthly income :

□below 5000 □ 5000-10000 □ 10000-15000 □ above 15000

9) Annual income :

□below 60000 □ 60000-120000 □ 120000-180000 □ above 180000

10) How many times does he/she visit this palace?

□ First □ Second □ More than second

11) From where has he/she come?

□Chittagong city □Chitttagong district □ Out of chittagong district. □ Abroad

12) By which way have you come in the Sea Beach?

□ By road □ By air □ Others

13) To come Patenga Sea Beach which vehicle have you used?

□ Own car □ Rent car □ others

14) How many times do you take to come to see Sea Beach from your residence?

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□below an hour □ 1-4hour □above 4hour

15) How many hours do you spent at Sea Beach?

□below 3 hours □ 3hours □ 5hours □above 5 hours

16) What kind of shopping they do?

□ Zinuk □ Dress □ Others

17) For which attractive things you come in Patenga Sea Beach?

□To see sunset □Traveling by boat □To see sea □Others

18) Are you satisfied with the Price of things?

□ Yes □No

19) What types of accompany?

□ Single □ Family □ Friend □ Couple

20) How much money do you spent in this purpose?

□ <1000tk □ 1000-3000tk □ Avobe3000tk

21) What types of problem have you faced ?

□ Mugging □ Stolen □ Others

22) Have you taken any Hotel facilities?

□Yes □ No

23) Do you think is it secured place?

□ Yes □ No

24) Have you take any guidance to come patenga?

□ Yes □ No

25) Have you visited other place except patenga?

□ Yes □ No

26) Have any suggestions about Tourism sector for Patenga Sea Beach?

□ Yes □ No

27) Do you think government has taken adequate steps to develop Patenga Sea Beach?

□ Yes □ No

28) What is your suggestion for Patenga Sea Beach?

Thank you for your co-operation.

Reference:

1. An introduction to the theory of statistics by – Dr. Rabindranath shil.

32

2. Applied Statistics by – S.C. Gupta& V.K. Kapoor.

3. Method of Statistics By- M.G. Mustafa

4. Some statistics and historical journals. External links: http://en. Wikipedia.orghttp://www.google.com

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http://en/

a statistic tipu

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