BIL 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 MATRIC NUMBER 244540 245529 246458 244423 245610 245295 247329 248395 244518 245619 245612 244499 245526 245202 248021 248042 244323 243251 242952 247528 245412 245277 247529 247549 247548 ACADEMIC PROGRAMME LAW MEDIA TECHNOLOGY FINANCE LAW CREATIVE INDUSTRY BBA (LOGISTIC & TRANSPORT) FINANCE HOSPITALITY LAW MEDIA TECHNOLOGY CREATIVE INDUSTRY COUNSELLING BBA (LOGISTIC & TRANSPORT) CREATIVE INDUSTRY SCIENCE MULTIMEDIA SCIENCE ECONOMICS PHILOSOPHY ACCOUNTING FINANCE BBA (LOGISTIC & TRANSPORT) MEDIA TECHNOLOGY CREATIVE INDUSTRY SCIENCE ECONOMICS BBA (LOGISTIC & TRANSPORT) BBA (LOGISTIC & TRANSPORT) SEMESTER OF STUDY 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 INASIS EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON GENDER FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE YEAR OF BIRTH 1996 1996 1994 1996 1996 1996 1997 1996 1996 1996 1996 1996 1996 1996 1997 1997 1996 1994 1994 1997 1996 1996 1997 1997 1997 AGE 21 21 23 21 21 21 20 21 21 21 21 21 21 21 20 20 21 23 23 20 21 21 20 20 20 HEIGHT (CM) 156 152 159 158 154 152 167 149 158 158 159 154 154 158 152 161 172 164 163 163 154 157 157 152.5 155 HEIGHT (M) 1.56 1.52 1.59 1.58 1.54 1.52 1.67 1.49 1.58 1.58 1.59 1.54 1.54 1.58 1.52 1.61 1.72 1.64 1.63 1.63 1.54 1.57 1.57 1.525 1.55 WEIGHT (KG) 56 55 55 49 37 50 75 42 52 47 53 48 63 64 45 65 59 63 53 85 53 70 40 46 63 WAIST (INCH) 28 32 30 28 25 29.5 36 27 29 30 29 29 34 33 29 33 28 30 27 38 30 34 27 28 34 BMI 23 23.8 21.8 19.6 15.6 21.6 26.9 18.9 20.8 18.8 21 20.2 26.6 25.6 19.5 25.1 19.9 23.4 19.9 32 22.3 28.4 16.2 19.8 26.2 BQ -12.6 -11.6 -11.7 -11.8 -11.4 -11.8 -11.8 -11.7 -11.8 -11 -11.9 -11.6 -11.8 -11.9 -11.4 -12 -12.2 -12.1 -12.1 -12.2 -11.9 -12.2 -11.1 -11.8 -11.8 BIL 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 MATRIC NUMBER 244540 245529 246458 244423 245610 245295 247329 248395 244518 245619 245612 244499 245526 245202 248021 248042 244323 243251 242952 247528 245412 245277 247529 247549 247548 ACADEMIC PROGRAMME LAW MEDIA TECHNOLOGY FINANCE LAW CREATIVE INDUSTRY BBA (LOGISTIC & TRANSPORT) FINANCE HOSPITALITY LAW MEDIA TECHNOLOGY CREATIVE INDUSTRY COUNSELLING BBA (LOGISTIC & TRANSPORT) CREATIVE INDUSTRY SCIENCE MULTIMEDIA SCIENCE ECONOMICS PHILOSOPHY ACCOUNTING FINANCE BBA (LOGISTIC & TRANSPORT) MEDIA TECHNOLOGY CREATIVE INDUSTRY SCIENCE ECONOMICS BBA (LOGISTIC & TRANSPORT) BBA (LOGISTIC & TRANSPORT) SEMESTER OF STUDY 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 INASIS EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON HEIGHT (CM) 156 152 159 158 154 152 167 149 158 158 159 154 154 158 152 161 172 164 163 163 154 157 157 152.5 155 HEIGHT (M) 1.56 1.52 1.59 1.58 1.54 1.52 1.67 1.49 1.58 1.58 1.59 1.54 1.54 1.58 1.52 1.61 1.72 1.64 1.63 1.63 1.54 1.57 1.57 1.525 1.55 WEIGHT (KG) 56 55 55 49 37 50 75 42 52 47 53 48 63 64 45 65 59 63 53 85 53 70 40 46 63 BMI 23 23.8 21.8 19.6 15.6 21.6 26.9 18.9 20.8 18.8 21 20.2 26.6 25.6 19.5 25.1 19.9 23.4 19.9 32 22.3 28.4 16.2 19.8 26.2 1) State clearly the population of your study. Population of all UUM female undergraduate students in EON Inasis 2) Explain clearly how you did the convenience sampling. Using sampling method of 25 students on population collected data. 3) Give ONE (1) reason why it is advisable that the researcher conduct the measurement of the weights of the individuals in the sample instead of asking them to fill in the values in surveys. To calculate obesity measurement called Body Mass Index or BMI. 4) Compute the mean, median and mode for BMI. Then, interpret the values. 15.6 16.2 18.8 18.9 19.5 19.6 19.8 19.9 19.9 20.2 20.8 21 21.6 21.8 22.3 23 23.4 23.8 25.1 25.6 26.2 26.6 26.9 28.4 32 Mean = Total BMI Total Population = 15.6+16.2+18.8+18.9+19.5+19.6+19.8+19.9+19.9+20.2+20.8+21+21.6+ 21.8+22.3+23+23.4+23.8+25.1+25.6+26.2+26.6+26.9+28.4+32 25 = 556.90 25 = 22.276 Median = 21 + 21.6 2 = 21.30 Mode = 19.90 5) Determine and compare the shape of the distribution of BMI and BQ. 6) Compare the dispersion of height-in-cm and weight-in kg. 7) Write at least TWO (2) sentences to summarize the findings from your study. BIL 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 MATRIC NUMBER 244540 245529 246458 244423 245610 245295 247329 248395 244518 245619 245612 244499 245526 245202 248021 248042 244323 243251 242952 247528 245412 245277 247529 247549 247548 ACADEMIC PROGRAMME LAW MEDIA TECHNOLOGY FINANCE LAW CREATIVE INDUSTRY BBA (LOGISTIC & TRANSPORT) FINANCE HOSPITALITY LAW MEDIA TECHNOLOGY CREATIVE INDUSTRY COUNSELLING BBA (LOGISTIC & TRANSPORT) CREATIVE INDUSTRY SCIENCE MULTIMEDIA SCIENCE ECONOMICS PHILOSOPHY ACCOUNTING FINANCE BBA (LOGISTIC & TRANSPORT) MEDIA TECHNOLOGY CREATIVE INDUSTRY SCIENCE ECONOMICS BBA (LOGISTIC & TRANSPORT) BBA (LOGISTIC & TRANSPORT) SEMESTER OF STUDY 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 2 2 2 2 2 2 INASIS EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON EON GENDER FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE FEMALE YEAR OF BIRTH HEIGHT (CM) 1996 156 1996 152 1994 159 1996 158 1996 154 1996 152 1997 167 1996 149 1996 158 1996 158 1996 159 1996 154 1996 154 1996 158 1997 152 1997 161 1996 172 1994 164 1994 163 1997 163 1996 154 1996 157 1997 157 1997 152.5 1997 155 WEIGHT (KG) 56 55 55 49 37 50 75 42 52 47 53 48 63 64 45 65 59 63 53 85 53 70 40 46 63 WAIST (INCH) 28 32 30 28 25 29.5 36 27 29 30 29 29 34 33 29 33 28 30 27 38 30 34 27 28 34 SQQS 1013 ELEMENTARY STATISTICS A162 SCHOOL OF QUANTITATIVE SCIENCES UUM COLLEGE OF ARTS AND SCIENCES UNIVERSITI UTARA MALAYSIA Second Semester Session 2016/2017 (A162) SQQS1013 Elementary Statistics Group Assignment 1 (50 Marks: 10% of coursework) INSTRUCTIONS: 1. Form a team of FOUR (4) to FIVE (5) persons and appoint a leader. Give a team name and team motto. 2. Each member must participate in completing the whole assignment. The leader shall report any lack of participation directly to the lecturer for appropriate actions (may include marks deduction). 3. Answer ALL questions and show your calculations clearly. 4. Report must be neatly written using A4 paper and graph paper; Softcopy of the report and data should also be provided in a CD attached at the back cover of the report. 5. The front cover pages for the report are given in Appendix A and Appendix B. 6. Submission due date: 30/03/2017 1 SQQS 1013 ELEMENTARY STATISTICS A162 QUESTION 1 (21 MARKS) Plan a descriptive statistical study by choosing one subject of interest related to food or drinks. (Note: the chosen subject must not be similar to other teams'). Example Subject: 3 in 1 coffee Variable Name: Weight (gram); Total fat (Kcal/100gm); Sugar (%); Brand (X,Y,Z);Sachet user satisfaction (Very satisfied, Satisfied, Unsatisfied, Very unsatisfied); Sachet design (Attractive, Not attractive) Description of Weight: The net weight of a sachet of 3 in 1 coffee Data value of Weight: 18g, 21g, 20g, 22g, 25g a) State clearly the subject of interest that you have chosen. (1 mark) Subject of interest b) Identify and describe at least SIX (6) variables of interest about the subject. Then, for each variable, identify its type and its level of measurement and give 5 examples of its data values (with suitable units where applicable). (Note: Make sure that all FOUR (4) levels of measurement: Nominal, Ordinal, Interval, Ratio are included. Put your answers in TABLES 1-6) (20 marks) TABLE 1: Variable 1 VARIABLE 1 Variable Name Description of Variable Type of variable Level of Measurement Five examples of data values (with suitable units where applicable) 1) 2) 3) 4) 5) 2 SQQS 1013 ELEMENTARY STATISTICS A162 TABLE 2: Variable 2 VARIABLE 2 Variable Name Description of Variable Type of variable Level of Measurement Five examples of data values (with suitable units where applicable) 1) 2) 3) 4) 5) . . . . . . . . . TABLE 6: Variable 6 VARIABLE 6 Variable Name Description of Variable Type of variable Level of Measurement Five examples of data values (with suitable units where applicable) 1) 2) 3) 4) 5) 3 SQQS 1013 ELEMENTARY STATISTICS A162 QUESTION 2 (4 MARKS) In statistics, the group of all individuals about which information is desired is called a population while the portion of that group from which we actually collect the information is called a sample. Generally speaking, we can choose to collect information from the whole population or to only collect information from the sample. a) Discuss briefly TWO (2) reasons why we use samples instead of using the population. (2 marks) b) Describe clearly at least ONE (1) research situation and the purpose of that research where it is practically impossible to use the population forcing us to use a sample to do the study. (2 marks) QUESTION 3 (25 MARKS) Using the issues on obesity and the health risks of being obese as a motivation for your statistical study, you are to collect data to describe obesity among either UUM MALE UNDERGRADUATE STUDENTS or UUM FEMALE UNDERGRADUATE STUDENTS of a specified semester of study or academic programme or INASIS. The steps are as follows: Step 1: First, set the population that you wish to study, for example, the population of all UUM male undergraduate students of semester 2 OR the population of all UUM female undergraduate students in the Accounting Programme OR the population of all UUM female in YAB INASIS. Step 2: Then, using convenience sampling method, find a sample of 25 students where the list of suggested variables is listed in TABLE 7. You may ADD EXTRA VARIABLES depending on how you set the population that you wish to study. Step 3: Tabulate the data you collected in an EXCEL file \"YourTeamName-CollectedData\" where the variable names are placed in one row with the respective data values in the columns. Click \"save\". Step 4: Using the file command \"save as\