summary report of data analysis
1 GROUP ASSIGNMENT FOR MAT240S MAY 2021 (5%) IMPORTANT NOTE: DO NOT PLAGIARIZE Every group is expected to do their o wn report and should not copy / use the works of others . Plagiarism is the act of using another person’s ideas, words, or writing and presenting them as your own without acknowledging the source. This pertains to information taken from any source, including the Internet. The college takes plagiarism very serious ly as it is a violation of the academic honesty code. Anyone violating this code will be given a zero (0) for this assignment, and may result in A FAILING GRADE FOR THE WHOLE COURSE . To avoid this very serious and embarrassing problem, put all quoted mate rial in quotation marks and cite sources for all paraphrases, quotations, and significant ideas. Your research team is required to submit a formal report of your findings and conclusion about your study to your client . The project report should be format ted properly using Microsoft Words ( .docx file then convert to pdf file ) and should include the following sections . I. Cover Page (see the attached sample) – 1 mark This page should be signed by all group members . Scan your signatures. II. Table of contents – 1 mark (see sample) III. Introduction –10 marks a. Brief overview about subject matte r (as specified in your proposal) – 5 marks ˗ do some research on TWO studies done on your topic. ˗ Include a s ummary about the studies and the findings from the studies . b. Purpose of your study, (To investigate what? -refer to the research questions that you have listed in the research proposal , you may add extra research questions ) -3 marks You should have at least 6 research questions that include : (i) Estimation of population mean of a variable . (ii) Estimation of population proportion of a variable (iii) The relationship between 2 nominal/ordinal variables (iv) Comparison of means of a ratio variable between 2 categories of a nominal variable (v) Comparison of means of a ratio variable between 3 or more categories of a nominal variable. (vi) Comparison of percentage (proportion) of a nominal variable among two categories of a nominal variable. Put all these in Question form. c. Significance of the study -2 marks ˗ benefits of the findings to your client ˗ benefits of the findings to others 2 IV. Methodology (16 marks) a. Sampling method -3 marks ˗ explain in detail the random sampling method that you would use in selecting your samples if you have the resources ( time, money and effort ) ˗ Use any of the 4 random sampling methods . ˗ Do not use convenience sampling method. b. Data collection method -2 marks ˗ explain in detail how your data was collected. c. Data Analysis method -6 marks ˗ what software was used to analyze your data ? ˗ what kind of tests and analysis was done for each of the research questions? e.g. co rrelation analysis, paired -sample t -tests, chi -square tests etc . d. Descriptive of the demographic variables -5 marks ˗ To describe the profile/background of the respondents in tabular, graphical and numerical measures. V. Findings and observations (70 marks) This section are finding s from your data analysis. (Explain all charts and tables that are included in this section). Contents of this section should include findings which answer your research questions. You need to answer ALL your RESEARCH QU ESTIONS that you listed in Section II I(b) . (The marks allocated will be from your workings in the EXCEL file as well as your explanation in the report – refer to the marking scheme) This section contains: I. Descriptive statistics of the variables in your research questions (graphical, tabular and numerical measures – with explanation) II. Explain the r esults and findings from the inferential analysis done based on your RESEARCH QUESTIONS . a) Estimation of population mean of a variable b) Estimation of population proportion of a variable c) The relationship between 2 nominal/ordinal variables d) Comparison of means of a ratio variable between 2 categories of a nominal variable e) Comparison of means of a ratio variable between 3 or more cat egories of a nominal f) Comparison of percentage (proportion) of a nominal variable among two categories Please include the relevant important output of analysis in your report : for example ANOVA table, contingency tables, two sample t -tests . (no need to show the hypothesis testing steps in the report . Please show all the workings and the hypothesis testing steps in the EXCEL file ) 3 VI. Conclusion and Recommendations (10 marks ) A summary of answers to your research questions. Include recommendat ions to your client based on your findings. VII. References (5 marks) a. Bibliography / References – (THIS IS COMPULSORY . If you did not include this, you will earn a zero for the whole report) – use APA format. Your report marks would also include the following: a. Proper format and organization. (5 marks) – Pages are properly formatted (numbered ) – Tables and images are properly arranged and pleasant to the eyes of the reader. – Tables, Figures and Images are properly labeled, numbered, and captioned . b. Mechanics of the language (5 marks) – Proper language and grammar – No spelling errors . – No short -forms (for example: won’t). Refer to the following resources in formatting your report. https://lc.hkbu.edu.hk/sall/english/doc/Introduction_Steps_writing_graph_description.pdf https://writingcenter.unc.edu/tips -and -tools/figures -and -charts/ http://www.editage.com/insights/tips -on -effective -use -of-tables -and -figu res -in-research -papers Submit 2 files: 1. Report in pdf 2. EXCEL file – this file will contain all the d ata analysis for the research questions. This should include the hypothesis steps and workings for your research questions. Name your report as follows: MAT240S -GRP xxx .pdf (where xxx is your group number ) Name your EXCEL file as follows: MAT240S -GRPxxx. xlsx (where xxx is your group number ) 4 MARKING SCHEME OF REPORT I. Cover page 1 II. TOC 1 III. Introduction (10) – Overview of topic with literature review 5 – Purpose (list of research questions 3 – Significance 2 IV. METHODOLOGY (16) – Sampling method details 3 – Data collection method 2 – Data analysis method 6 – Descriptives of demographic variables 5 V. FINDINGS / RESULTS (70) ▪ Descriptive statistics of research question variables (charts/tables and numerical measures – with explanation) 10 ▪ Inferential Statistics – explain and summarize the findings – Estimation of MEAN and proportion 20 – HT of TWO ME ANs and proportions 20 – HT of more than 2 population means 10 – Test of Association/Independence 10 VI. CONCLUSION / RECOMMENDATION 10 VII. REFERENCES 5 VIII. OTHERS (10) – Format and Organization of report 5 – Language used and Mechanics (e.g. grammar, spelling etc) 5 TOTAL MARKS POSSIBLE (5%) 123 SOUTHERN NEW HAMPSHIRE UNIVERSITY PROGRAM MAT240S: APPLIED STATISTICS Session : MAY 2021 Instructor : Ms . Yasmin Abdul Aziz GROUP ASSIGNMENT {write your problem statement here} NAMES MATRICULATION ID. STUDENTS INFO: 1. 2. 3. 4. SUBMISSION DATE: DUE DATE: 15 th July 2021 I/We have read and understood the college policy on plagiarism and academic dishonesty, and am/are aware of the consequences of violating the academic honesty code. I/We certify that this report is my/our own work, and any references to other resources are duly quoted / cred ited. Signature s of all group members : Sample of Table of Content s Contents 1.0 Introduction……………………………………………………… ….. page no 2.0 Methodology…………………………………………………………. page no 3.0 Findings/Observations…………………………………………………page no 3.1 Research Question 1………………………………………… page no 3.2 Rese arch Question 2…………………………………………..page no 3.3 ………………………………………………………………. page no 3.4 ………………………………………………………………. page no 3.5 ………………………………………………………………. page no 3.6 Research Questi on 6………………………………………… .page no 4.0 Conclusions / Recommendations……………………………………. page no 5.0 Appendix (refer to the attached file)………………………………….page no 6.0 References…………………………………………………………… page no
summary report of data analysis
MAT240S MAT 2021 GROUP ASSIGNMENT INFERENTIAL DATA ANALYSIS Group : PPgirl A. Estimation of Parameters (mean and proportion) (i) Population mean of spo rts time (hours) n = 151, x = 1.687, s = 2.739 95% CI, df = 1 50, critical value = +-1.660 Pop ulation mean = 0.440 Population mean of sleep time (hours) n = 151, x = 7.811, s = 3.798 95% CI, df = 150, critical value = + -1.660 Population mean = 0.611 (ii) Popul ation p roportion of gender n = 151, p = 0.424, q = 0.576 95% CI, critical value = 0.5199 Population proportion = 0.424 Popul ation p roportion of on time n = 151, p = 0.921, q = 0. 079 95% CI, critical value = 0.5199 Population proportion = 0.921 B. Hypothesi s testing of population m ean and proportion (i) Population mean of age Claim : Mea n> 15 (Right Tail) Ho : Mean<= 15 H1: Mean>20 c.v . = 1.976 Reject Ho if z is > 1.976 Z = (20 -15 )/(1.993/ 12.188) = 30. 577 Ho is not rejected since z -value is not less than or equal to rejection region. There fore , we can infer that the claim is true. Population mean of working hour Claim : Mea n<10 (Left Tail) Ho : Mean >= 10 H1: Mean <10 c.v . = 1.976 Reject Ho if z is <1.976 Z = (7-10 )/(11.416 /12.188) = -3.203 Ho is not rejected since z -value is not more than or equal to rejection region. There fore , we can infer that the claim is true . Population mean of electroni c gadgets time Claim : Mea n = 10 (Tw o Tail) Ho : Mean = 10 H1: Mean /= 10 c.v . = 1.976 Reject Ho if z is equal to 1.976 Z = (10 -8)/(5.5 5/12.188) = 4.392 Ho is rejected since z -value is not equal to rejection region. There fore , we can not infer that the claim is true. (ii) Popul ation proportion of major Claim = Major in Bu siness Ho : M = Business H1: M /= Business c.v . = 1.976 Reject Ho if z is equal to 1.976 Z = (65 -0.430)/((0.43*0.57)/151) = 10.75 Ho is rejected since z -value is not equal to rejection region. There fore , we can not infer that the claim is true. C. Hypothesis testing of two population means / two population proportions (i) Population Mean of 2 Sample Claim = Local > International Ho : L = I H1: L > I c.v . = 2.060 Reject Ho if z is equal to 2.060 Z = ((10 -8)/(7.998 /12.188) ) = 3.060 Ho is rejected since z -value is not equal to rejection region. There fore , we can not infer that the claim is true. (iii) Popul ation proportion of Procrastinate Claim = Local Procrastinate < International Pro crastinate Ho : LP = IP H1: LP < IP c.v . = 1.976 Reject Ho if z is equal to 1.976 Z = ((93 -16 )/((0.853*0.147) /12.188) )) = 2.990 Ho is rejected since z -value is not equal to rejection region. There fore , we can not infer that the claim is true. D. Hypothesis testing of more than 2 population mea ns. Hypothesis testing among mean of sleep hours among student in difference education level Claim = There is difference in the mean sleep hours among student in difference educational le vel. Ho : There is difference H1: There is no difference c.v . = 2.0 17 Reject Ho if z is equal to 2.017 Z = ((10 -8)/(7.998 /12.18 )) = 4.788 Ho is rejected since z -value is not equal to rejection region. There fore , we can not infer that the claim is true. E. Hypothesis testing of relationship between categorical variables. Observed Counts Yes No Total Chinese 36 81 117 Malay 5 7 12 Indian 9 5 14 Others 3 5 8 Total 53 98 151 Expected Counts Yes No Total Chinese 41.06623 75.93377 117 Malay 4.211921 7.788079 12 Indian 4.913907 9.086093 14 Others 2.807947 5.192053 8 Total 53 98 151 x2 Yes No Total Chinese 0.62501 0.33801 0.96302 Malay 0.14746 0.07975 0.2272 Indian 3.39773 1.83755 5.23529 Others 0.01314 0.0071 0.02024 Total 4.18333 2.26241 6.44575 Degree of Freedom = 3 P-Value = 0.092 summary report of data analysis MAT240S MAY2021 – RESEARCH PROPOSAL FORM – 2% 1. Group name: PP Girls a. Lee Yue Leng J18026216 (Leader) b. Emily Ng Shao Ni J21034198 c. Goh Shi Wei J19030187 d. Lim Jia Huey J19031059 2. General Topic: Time Management of college students First Study a. Title of study: Impact of Time Management Behaviors on Undergraduate Engineering Students’ performance. (https://journals.sagepub.com/doi/pdf/10.1177/21582440188245 06) b. Conductor: Richelle V.Adams and Erik Blair c. Summary of the study: The study report that time management behavior among the undergraduate engineering student is effective with greater academic performance. Second Study a. Title of study: The Impact of Tim e Management on Students’ Academic Achievement (https://iopscience.iop.org/article/10.1088/1742 -6596/995/1/012042/pdf) b. Conductor: SNAM Razali, MS Rusiman, WS Gan, N Arbin c. Summary of the study: Time management is very important and it may affect individual ’s overall performance and achievements. 3. Population: College students in Malaysia Sample: 100 records. Sampling method: There are multiple steps taken to ensure that the study is reliable and understandable. A questionnaire will be prepared and will b e revised multiple times to ensure the questionnaire does not involve any biased questions. Next, the questionnaire will be pilot tested and sent out to the respondents. 4. Problem statement: Time Management of college student in Malaysia. 5. Reason of this study: RQ 1: What is the mean of student who prepare a timetable for their daily life? RQ 2: What is the population proportions of entertainment, study and working? RQ 3: What is the relationship between types of part time job and time take? RQ 4: Wh at is the different between the mean of student who spend time on entertainment and the mean of student who spend time study? RQ 5: What is the mean of student who spend time on sport , social and self -improvement ? RQ 6: What is the percentage of student spend time on sport and social ? 6. Significance of this study a.Company that hiring us -Education consultancy b.Benefits for client -Helping the process of consultation going smoothly. -Knowing the hobby and interest of college students. -Recommend a suitable college for the students. c.Who else can benefit from the findings of the study? -University 7. Method of sample selection: Simple random sampling In a simple random sample, every member of the population has an equal chance of being selected. The sampling frame will include the whole population. To conduct this sampling, we will hav e tools like random number generators or other techniques that are based entirely on chance. 8. Survey questions: Research Question Survey Questions/ Variables Level of Measurement RQ1: What is the mean of student who prepare a timetable for their daily life? SQ1: How old are you? SQ2: Do you prepare your own timetable? SQ3: What is your hobby? Ordinal Nominal Nominal RQ2: What is the population proportions of entertainment, study and working? SQ1: How often do you spends time in entertainment? SQ2: How often do you spends time in study? SQ3: How often do you spends time on part time job? Ordinal Ordinal Ordinal RQ3: What is the relationship between types of part time job and time ta ke? SQ1: What types of part time job are you doing? SQ2: How many hours do you spend on your part time job? SQ3: Do you like your part time job? Nominal Ordinal Nominal RQ4: What is different between the mean of student who spend time on entertainment and the mean of student who spend time study? SQ1: How many hours do you spend in entertainment? SQ2: How many hours do you spend on your revisions? SQ3: How your academic performance in colle ge? (low, medium, high) Ordinal Ordinal Ordinal RQ5: What is the mean of student who spend time on sport, social and self - improvement ? SQ1: How many hours do you spend in sport? SQ2: How many hours do you spend on your social? SQ3: How many hours do yo u spend on your self -improvements? Ordinal Ordinal Ordinal RQ6: What is the percentage of student spend time on sport and social? SQ1: Which type of sport do you prefer? SQ2: Which type of social do you prefer? SQ3: Who will normally accompany you for sport? Nominal Nominal Nominal summary report of data analysis Survey Qu estionnaires Hello ! We hope you’re having a good day. We are statistics students (MAT240) from INTI Subang Jaya . We’ve chosen you as one of a small set o f people to ask about your time management as a college student. If you have a moment to spare, would you be willing to fill up the form? We’d greatly appreciate your feedback . Our short surveys take ONLY 1 minute ! Thank you for your help! Questionnaires NO. Survey Questions Measurement Level Research Questions 1 Do you have a part time job? Nominal RQ2 2 Do you hand in your ass ignment /test on time? Nominal RQ2 3 What time do you most ly do sports? Nominal RQ 3 4 How many hours do you spend on ‘self-study ’ in a week? Nominal RQ4 5 Do you p rocrastinate? Nominal RQ4 6 During the studying process, do you meet any interruption o f any other activities? Nominal RQ5 7 What is your gender? Nominal RQ 6 8 Are you stressed about deadlines and commitments ? Nominal RQ5 9 Do you schedule time to study exam? Nominal RQ4 9 How do you spend time in leisure activities? Ordinal RQ3 10 How often do you make a TO -DO -LIST and finish the task in a the period of time ? Ordinal RQ3 11 How would you evaluate the effectiveness of your time management skills? Ordinal RQ4 12 What is your major ? Ordinal RQ5 13 How is your academic performance in college ? Ordinal RQ5 14 How old are you? Ratio RQ 1 15 How many hours do you do sport a day? Ratio RQ1 , RQ 6 16 How many hours do you work in a week? Ratio RQ2 17 How many hours do you spend on electronic gadgets a day? Ratio RQ3 18 How many hours do you usually sleep a day ? Ratio RQ4 List of Research Questions RQ1: How many hours do students spend on sports during the weekend? RQ2: What is the proportion of students who have a part time job during the weekend? RQ3: How do students spend their time? RQ4: What is the average number of hours students spend in their studies? RQ5: Does it affect their grades if time is poorly managed? RQ6: Is the percentage of students doing sports that are mostly male ? Goog le form LINK : https://forms.gle/7wDS3Mpvz93t5m1n9