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FACULTY OF MANAGEMENT AND TOURISM HANOI UNIVERSITY Relatio nship betwee 8+ TUTOR: MS TRÂN THỊ THU LAN GROUP MEMBERS: 120401 Dươ 0043 ng Thu 120401 Huy 0013 ền 120401 Ngu 0051 yễn Thị 120401 Thù 0080 y Dun 120401 g 0007 Dươ ng Thù y Linh Hoà ng Thị Thủ y Quy ên Ngu yễn Thị Nhu ng 120401 0004 120401 0113 n getting a parttime job and Hanoi universi ty student s’ study results (via GPA) Anh Nguyễn Diệu Anh Đặng Hồng Vân ABSTRACT In the modern life nowadays, the number of students participating in part time job is considerably popular, especially in big cities Having a part-time job can enrich students' life abroad as well as helping them become more independent However, it seems that a part-time job may pose a negative influence on study Our research was conducted on the students of Hanoi University (HANU), mainly at Faculty of Management and Tourism (FMT), and some other faculties (FIT, FIS, foreign language faculties) to find out HANU students' part-time job status, their attitude about part-time job, and its relationship with their study results.In order to answer this research questionnaire, a questionnaire was compiled and the collected data was analyzed In term of the results of the survey, the majority of students think that having a part-time job is very important to the life abroad Also, having a part-time job may influence study Therefore, some further discussion and useful suggestions will be given as well CONTENTS Population and sample 2 Questionnaire design Sample size: Sampling method and data collection Sampling method Data collection Data processing Level of significant Research question: 15 Assumption: 16 Data Analysis: 16 Hypothesis Testing Procedure 17 Limitations 18 Implications 18 Conclusion and recommendations 18 APPENDIX A 20 APPENDIX B 22 APPENDIX C 24 APPENDIX D 25 I INTRODUCTION With the growing necessities of life, changing social and cultural context, it is hard for graduates to find a good job Therefore, having a part-time job after class may be a good option for students to gain more valuable experience for their future job after graduating Moreover, students can earn more money to reduce their families’ financial burden Some interviewees who are asked about their part time job firm that they can widen social relationship and improve some necessary soft skills However, some people are worrying that the part-time job may be dangerous, pose a negative influence on their studies, and waste their time How to handle a parttime job and how to balance it with studying becomes a significant question Proper arrangements for studying and part-time job can make college students enjoy working for a company and enrich their references Therefore, to get deeper insights into students’ issues, we had implemented a project called “Relationship between getting a part-time job and Hanoi university students’ study results” As a result, we hopefully offer some recommendations which they can apply to improve their outcomes Our project was specifically carried out step by step from designing, delivering, collecting, analyzing data and giving out recommendation Applying our knowledge of Statistics theories, we process data by means of both Descriptive Statistics (using numerical and graphical methods to summarize and presenting data by numbers of charts and tables) and Inferential Statistics (using t-test for population mean to test the hypothesis) Finally, we came into conclusion that the advantages of having part-time job are outweigh its disadvantages Besides enjoying a part-time job, students should also focus on their studies II RESEARCH METHODOLOGY POPULATION AND SAMPLE The main objectives of our project are to inspect the percentage of Hanoi University’s students who are doing part time jobs and to compare the GPA between them and other graduates from our university Hence, we focus on collecting the data from various faculties of Hanoi University In order to complete this goal, we randomly selected a sample of 80 students of different majors to get involved in this project QUESTIONNAIRE DESIGN This questionnaire includes 13 questions in order to help us obtain data about students’ part time jobs, their studies and their opinions about the relations between these two things In particular, the first four questions are about graduates’ personal information The fifth one is to categorize students into two groups: students currently doing at least one part time job and graduates who don’t get any after-school job Students of the former group are required to answer the question and to provide information about their part time jobs while the latter group directly moves to question about their GPA After that, both of the two groups continue filling in our questionnaire with two next questions mentioning about their studies The eleventh question is included in the questionnaire form in order to consult students’ opinions of whether taking a part time job may have negative influence on their study results or not Finally, the last two questions are about the advantages and disadvantages of getting an after-school job SAMPLE SIZE: After considering fundamental factors which might have important impacts on our outcomes such as the population size that we were interested in studying, the degree of uncertainty associated with a statistical inference, the test we plan to apply and the available resources we have, we decided to select a sample of 80 students Because of the enormous population as well as the limitation of members and a transient time to conduct this project, all the team members came to an agreement on the sample size of 80 graduates This number of students seems to form an applicable and feasible size Besides, the larger sample size will be beyond our scope as we intended to undertake a moderate-scale project so that we can minimize the external factors more easily To sum up, the sample size of 80 Hanoi university students is the most appropriate SAMPLING METHOD AND DATA COLLECTION A) SAMPLING METHOD In order to gather data for our project, we delivered questionnaire to 80 students These 80 graduates were randomly selected from numerous Hanoi university faculties’ students such as Faculty of Management and Tourism, Faculty of International Studies, Faculty of Information Technology and Foreign Language Faculties Since the population is quite large that can be nearly twenty thousand graduates, the most suitable way we can choose to analyze our statistics is using sampling method B) DATA COLLECTION After completing proposing the questionnaire and choosing sample, we initiated our project by distributing questionnaires on December, 16th 2013 The data used in this report is acquired from a survey carried out within Hanoi university students from numerous faculties by two different methods: answering the online questionnaire designed by typeform.doc and filling in the offline questionnaires Our members were contributing to the group work by inviting 50 random Hanoi University’s graduates to fill in the online questionnaire form and collecting all the fully responded answers after delivering the offline questionnaires to 30 students DATA PROCESSING Our source of statistics is quite large and complex, so solving it by hand seems to be a big deal Therefore, we make full use of Microsoft Excel 2013 to process the data in a more prompt and convenient way Data are divided into types, which are qualitative, ordinal and quantitative one For qualitative data, which are resulted from question 7, and 9, we have Excel 13 to make it easier in calculating the percentage or the frequency of data Additionally, Excel is one of tools we use to graph all the data gained For ordinal data, which come from question 10 and 11, we transfer it into quantitative data by assigning certain point to each rank Then we take the sum of each category and draw a chart, which is similar to the way we treat the qualitative data For quantitative data, which are the result of the five questions 4, 5, 6, 12 and 13, to the data processing, we follow some steps as below: ○Step 1: Enter the data into separate spreadsheet The data gained from question is divided into groups, which are students currently doing part time jobs and graduates who don’t work after school hours Thus, it is a must to process it separately.For example, Group has a size of 35 students, so we type in the data in column A from G3 to G37 Similarly, group has 45 students so the range is from G39 to G83 ○Step 2:Choose File Options Add-Ins Analysis Toolpak Ok DataData analysis Descriptive statistic Ok ○Step 3: Fill in the Descriptive Statistics Tab as in the picture Then all the data are summarized in one table: LEVEL OF SIGNIFICANT Since the sample size is not very large in comparison with the scale of population, we choose the significant level to be 0.05 III DESCRIPTIVE RESULTS AND FINDINGS In order to determine the number of students having a part-time job compared with that of who not having a part-time job, we used this question in our questionnaire: “1 Do you have a part-time job?” 43.75% 56.25% Students have a part-time job Students don't have a part-time job Fi gure 1: The percentages of students who have a part-time job and having no a part-time job From the pie chart above, it can be seen clearly that more than a half of responded students are having a part – time job with 56% while the other 44% are not having a part-time job The most important objective of our survey is to test whether having a part-time job affects the studying of students or not so we have the student fill in the question about their GPA of the previous academic year After gathering the data, we divide them into groups By using Excel13 we go through the data process as below: To make it clearer about how the data spread, we visualize them by drawing a histogram GPA of students having a part-time job Frequency 16 11 5,0 - 6,0 6,0 - 7,0 7,0 - 8,0 8,0 - 9,0 9,0 - 10,0 Mark Figure 2: GPA of students having a part-time job It is obvious that all the students having a part-time job got the mark above The mark values vary from to 10 but the range from to has the highest frequency (16/45) Another noteworthy point is that no student got the marks greater than Applying the same method, we have another table of results for students living away from home: From the data as shown on figure 6, almost 40% of students who having a part-time job and approximately 43% of respondents having no a part-time job think that the correlation between getting a part-time job and study result maybe negative Disagree degree came in the second place with 33.3% of students in the 6a figure and 34.3% of respondents in the 6b figure With regard to the degree of agreement, the percentage of students in two categories nearly the same, with around 15% of students having a part-time job and almost 17% of students having no job The only 2.2 % and 8.89% of the students having a part-time job extremely agrees and disagree this relationship and 2.86% and 2.85 % of respondents not get a part-time job totally approves and disapproves Moving to the next question, students expressed the advantages of having a part-time job by complete the following question: “5 What you think the advantages of having a part-time job?” Earn money Widen relationship Improve some soft skills Gain experiences 64 62 60 58 56 54 52 50 48 Earn Money Widen relationship Improve some soft skills 12 Gain experiences Figure 7: The advantages of having a part-time job From the above bar chart it is clear that, gaining experiences is the advantage that the largest numbers of students think and 61 of students supposes that earn money is the major reason for student having a part-time job 54 and 59 of students think that having a part-time job will help them have some soft skills and widen relationship Besides the advantages, we also investigate the opinions’ students about the disadvantages of getting a part-time job and we design the following question in our questionnaire: “6 What you think about the disadvantages of having a part-time job?” Waste time Making your study worse Be dangerous 40 35 30 25 20 15 10 Waste time Making your study worse Be dangerous Figure 8: The disadvantages of having a part-time job 13 From the graph, the largest number of students thinks that the disadvantage of having a parttime job will be dangerous 34 of respondents agree that getting a part-time job makes waste time Opinion about making study worse comprises 36 students IV HYPOTHESIS TESTING RESEARCH QUESTION: For the purpose of checking whether Hanoi university students who not part-time jobs have greater GPA than those who or not, our group designs this following question to identify the evidence serving for testing: What is your GPA last year? Based on the collected data which belong to quantitative type, the aim of the research is to test the difference between the study results of the two categories of students Thus, we decide to use the method of testing the difference between two population means: independent samples Specifically, the parameters of interest are the µ1 and µ2 , the estimators of these parameters are the sample means x1 and x2 respectively ASSUMPTION: Sample sizes are large with n1 = 45 (>30), and n2 = 35 (>30) n1 is the number of students not doing part-time job and n2 is the number of students doing part-time job σ12 and σ22 are unknown Populations are normally distributed(this can be clearly proven through the frequency distribution histograms drawn in the previous section which is, to some extent, bellshaped) → We use the test statistic: √ s1 s 2 +¿ n2 n1 t= ( ´x1−x ) −( µ1−µ2) ¿ ( )( ) ( )( ) [ d.f = [ s 12 n1 n1−1 Which has a t distribution, with n-1 degrees of freedom 14 s 12 s + ] n1 n2 + s 22 n2 n 2−1 ] DATA ANALYSIS: After some calculations based on formulas and the collected data, we have: n n ∑ xi x 1= Sample mean: Sample standard √ S2= S 2= √ i =1 n ∑ xi =7 51 and x 2= i =1 =7 325 n √ √ S1= S 2= deviation: n ∑ ( X i− X )2 i =1 n−1 = 0.73 and: n ∑ ( X i −X )2 i =1 = 0.7 n−1 Sample size: n1 = 45 and n2 = 35 Because of the way the alternative hypothesis is set up, this is a one-tail test.The critical value is tα,n-1 =t0.05,75= 2.6435 HYPOTHESIS TESTING PROCEDURE Our requirement is if the GPA of students not doing part time is larger than it of students doing part-time job Step 1: Indentify the null and alternative hypotheses H0: µ1 - µ2 = HA: µ1 -µ2> Step 2: Test statistic t= √ s12 +¿ s 22 n2 n1 ( x1−x ) −( µ1−µ2) ¿ ( )( ) ( ) ( ) s 12 s2 [ + ] n1 n2 d.f = [ s 12 n1 n1−1 + Step 3: Significant level 15 s 22 n2 n 2−1 ] α = 0.05 Step 4: Decision rule Reject H0 if t>2.6435 Step 5: Value of test statistic t= 6.97−7.16 √ 0.732 0.7 + 35 45 =−1.183 Step 6: Conclusion Since t = -1.183