60417 – Assessment Task – Tutorial QuestionsUnit Code: HI6007Unit

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Assessment Task – QuestionsUnit Code: HI6007Unit Name: Statistics for Business DecisionsAssignment: Tutorial Questions AssignmentDue: week 13Weighting: 50%Purpose: This assignment is designed to assess your level of knowledge of the key topics covered in this unitUnit Learning Outcomes Assessed.:1. Understand appropriate business research methodologies and how to apply them to support decision-making process.2. Understand various qualitative and quantitative research methodologies and techniques.3. Explain how statistical techniques can solve business problems;4. Identify and evaluate valid statistical techniques in a scenario to solve business problems;5. Explain and justify the results of a statistical analysis in the context of critical reasoning for a business problem solving6. Apply statistical knowledge to summarize data graphically and statistically, either manually or via a computer package;7. Justify and interpret statistical/analytical scenarios that best fits business solution;8. Explain and justify value and limitations of the statistical techniques to business decision making and;9. Explain how statistical techniques can be used in research and trade publicationDescription: Each week students were provided with three tutorial questions of varying degrees of difficulty. The tutorial questions are available in the Tutorial Folder, for each week, on Blackboard. The interactive tutorials are designed to assist students with the process, skills and knowledge to the provided tutorial questions. Your task is to answer a selection of tutorial for weeks 1 to 11 inclusive and submit these answers in a single document.The questions to be answered are;Question 1: Week 2 Question 4 (7 Marks)a. The following data shows the results for 20 students in one of graduate unit.42 66 67 71 78 62 61 76 71 6761 64 61 54 83 63 68 69 81 53Based on the information given you are required toi. Compute the mean, median and mode. (3 marks)ii. Compute the first and third quartiles. (1 mark) iii. Compute and interpret the 90th percentile. (1 mark)b. In your own word, explain what is inferential statistics with relevant examples.(2 marks) Question 2: Week 3 Question 4, (7 Marks)a. Institute conducted a survey International Students in Melbourne. The survey results are given in the table below.Applied to more than 1 universityYes NoAge 23 and under 207 20124-26 299 37927-30 185 26831-35 66 19336 and over 51 169i. Prepare a joint probability table (1 mark)ii. Given that a student applied to more than 1 university, what is the probability thatthe student is 24-26 years old. (1 mark)iii. Is the number of universities applied to independent of student age? Explain(2 marks)b. Assume, North Origano, is a country with highest domestic violence cases (approximately 5 cases per 1000 families). Working with counselors, a researcher developed the following probability distribution for x= the number of new clients for counseling for 2021.x f(x)10 0.0520 0.1030 0.1040 0.2050 0.3560 0.20i. Compute the expected value and variance of x. (3 marks)Question 3: Week 8 Question 3, (11 Marks)According to the Annual survey of drugs expenditure in country X, the annual expenditure for prescription drugs is $838 per person in the Northeast region of the country. A sample of 60 individuals in the Midwest shows a per person expenditure for prescription drugs of $745. Further, it is given that the population standard deviation of $300.I. Formulate hypotheses for a test to determine whether the sample data support the conclusion that the population annual expenditure for prescription drugs per person is lower in the Midwest than in the Northeast and Identify whether it is a two-tail test or a one tail test(Left or right tail). (3 marks)II. Decide the suitable test statistics and justify your selection. (1 mark)III. Calculate the value of the relevant test statistics and identify the P value (3 marks)IV. Based on the p value in part (III), at 99% confidence level, decide the decision criteria. (1 mark) V. Make the final conclusion based on the analysis. (3 marks)Question 4: Week 9 Question 2, (11 Marks)The gasoline price often varies a great deal across different regions across country X. The following data show the price per gallon for regular gasoline for a random sample of gasoline service station for three major brands of gasoline (A, B and C) located in 10 metropolitan areas across the country X.A B C3.77 3.83 3.783.72 3.83 3.873.87 3.85 3.893.76 3.77 3.793.83 3.84 3.873.85 3.84 3.873.93 4.04 3.993.79 3.78 3.793.78 3.84 3.793.81 3.84 3.86a. State the null and alternative hypothesis for single factor ANOVA to test for any significant difference in the mean price of gasoline for the three brands. (1 marks) b. State the decision rule at 5% significance level. (2 marks)c. Calculate the test statistic. (6 marks)d. Based on the calculated test statistics decide whether any significant difference in the mean price of gasoline for three bands. (2 marks)Note: No excel ANOVA output allowed. Students need to show all the steps in calculations.Question 5: Week 11 Question 3, (7 Marks)Dex Research Limited conducted a research to investigate consumer characteristics that can be used to predict the amount charged by credit card users. The following multiple regression output is based on a data collected by this research company on annual income, household size and annual credit card charges for a sample if 50 consumers.Regression StatisticsMultiple R 0.9086R Square AAdjusted R Square 0.8181Standard Error 398.0910Observations BANOVAdf SS MS F Significance FRegression 2 D E G 1.50876E-18Residual C 7448393.148 FTotal 49 42699148.82Coefficients Standard Error t Stat P-valueIntercept 1304.9048 197.6548 6.6019 3.28664E-08Income ($1000s) 33.1330 3.9679 H 7.68206E-11Household Size 356.2959 33.2009 10.7315 3.12342E-14a. Complete the missing entries from A to H in this output (4 marks)b. Estimate the annual credit card charges for a three-person household with an annual income of $40,000. (2 marks)c. Did the estimated regression equation provide a good fit to the data? Explain (1 mark) Question 6 : Week 12 Question 2, (7 Marks)Amex PLC has gathered following information on the sales of face mask from April 2020 to September 2020.Month Sales ($)April 17,000May 18,000June 19,500July 22,000August 21,000September 23,000You are required to;a. Using linear trend equation forecast the sales of face masks for October 2020.(5 marks)b. Calculate the forecasted sales difference if you use 3-period weighted moving average designed with the following weights: July 0.2, August 0.3 and September 0.5.(2 marks)Note: You need to show all the steps in your calculation. No excel files will be graded.FORMULA SHEETK = 1 + 3.3 log10 nSummary Measures (n – sample size; N – Population size)¯ ???? ???? ??^ = ?? ?? ?????? ???? ¯ ¯ ?? ?????? ?? ???????? ???????????? ?? ????~ ???? = ???? =4 µ ??¯Location of the pth percentile:????= ?? (??+1)100IQR = Q3 – Q1Expected value of a discrete random variable??Variance of a discrete random variable??????Z and t formulas:??-?? ¯ ?? ????¯ ?? ?? = ?? ?? ?? ??????????Confidence intervalsMean:????¯Proportion:??^ ??^??^ v2 ??????2/2 ?? ???? = ??2Time Series Regression????0 = ?? – ??1?????? = ??0 + ??1??ANOVA:SSE ???????? MSE =MSTR ???? – ???? 2SSTR = ? ????(????¯ – ???)??=1??SSE = ?(???? – 1)????2 ?? ????2SST = ? ?(?????? – ???)??=1 ??=1F = MSTR / MSE??=1Simple Linear Regression:^?? = ??0 + ??1?? ??0 = ??¯ – ??1??¯??1 = ? (????? -(??????¯-)(??????¯)-2 ??¯) SST = SSR + SSESSE = ?(???? – ??^??)2 SST = ?(???? – ??¯)2SSR= ?(??^?? – ??¯)2Coefficient of determinationR2= SSR/SSTCorrelation coefficient??¯?? or ??R2 = (?????? )2?????? = (sign of ??1) Coefficient of DeterminationTesting for Significances 2 = MSE = SSE/(n 2) s =???? ?? ¯ ?? = ?? ????11 F = MSTR / MSEMSR = SSR/k-1 MSE = SSE/n-kConfidence Interval for ß1??1 ± ????/2????1Multiple Regression:y = ? + ?x + ?x +. . . + ?x + ?0 1 1 2 2 p p??^ = b + b x + b x + . . . + b x0 1 1 2 2 p p??????2 = 1 – (1 – ??2)??R2 = SSR/SSTF distributionSubmission Directions:The assignment will be submitted via Blackboard. Each student will be permitted only ONE submission to Blackboard. You need to ensure that the document submitted is the correct one.Academic IntegrityHolmes Institute is committed to ensuring and upholding Academic Integrity, as Academic Integrity is integral to maintaining academic quality and the reputation of Holmes’ graduates. Accordingly, all assessment tasks need to comply with academic integrity guidelines. Table 1 identifies the six categories of Academic Integrity breaches. If you have any questions about Academic Integrity issues related to your assessment tasks, please consult your lecturer or tutor for relevant referencing guidelines and support resources. Many of these resources can also be found through the Study Skills link on Blackboard.Academic Integrity breaches are a serious offence punishable by penalties that may range from deduction of marks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation of course enrolment.Table 1: Six categories of Academic Integrity breachesPlagiarism Reproducing the work of someone else without attribution. When a student submits their own work on multiple occasions this is known as self-plagiarism.Collusion Working with one or more other individuals to complete an assignment, in a way that is not authorised.Copying Reproducing and submitting the work of another student, with or without their knowledge. If a student fails to take reasonable precautions to prevent their own original work from being copied, this may also be considered an offence.Impersonation Falsely presenting oneself, or engaging someone else to present as oneself, in an in-person examination.Contract cheating Contracting a third party to complete an assessment task, generally in exchange for money or other manner of payment.Data fabrication and falsification Manipulating or inventing data with the intent of supporting false conclusions, including manipulating images.Source: INQAAHE, 2020If any words or ideas used the assignment submission do not represent your original words or ideas, you must cite all relevant sources and make clear the extent to which such sources were used.In addition, written assignments that are similar or identical to those of another student is also a violation of the Holmes Institute’s Academic Conduct and Integrity . The consequence for a violation of this policy can incur a range of penalties varying from a 50% penalty through suspension of enrolment. The penalty would be dependent on the extent of academic misconduct and your history of academic misconduct issues.All assessments will be automatically submitted to SelfAssign to assess their originality.Further Information:For further information and additional learning resources please refer to your Discussion Board for the unit.

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