EVIDENCE BASED DECISION MAKING

EVIDENCE BASED DECISION MAKING

COURSE/ UNIT INFORMATION

Course Master of Business Administration

Course Level Masters

Module Name Evidence based Decision Making

ASSIGNMENT INFORMATION

Formative Assignment/Summative Assignment FORMATIVE ASSIGNMENT

Faculty Ms. Annmol Cherian

TO BE FILLED BY THE STUDENT

Student Name Student ID Email ID Date Submitted 165100419100ASSIGNMENT COVER PAGE

ASSIGNMENT COVER PAGE

MARKS DIVISION

For the reference of the Learners Only. The total marks of both assignments will get the grade as per the descriptors.

NB: The Turnitin will be checked by the assessment team, the report need not be generated from the students side.

Assessment type Marks

FORMATIVE ASSIGNMENT SHORT ANSWERS 40

SUMMATIVE ASSIGNMENT ESSAY 60

Overall Marks 100

GRADE DESCRIPTORS

GPA GRADE MARKS (Out of 100)

4 A+ 97-100

3.9 A 94-96

3.7 A- 90-93

3.3 B+ 87-89

3 B 84-86

2.7 B- 80-83

2.3 C+ 77-79

2 C 74-76

1.7 C- 70-73

1.3 D+ 67-69

1 D 64-66

0.7 D- 60-63

0 F Below 60

Module Description

Evidence based Decision Making module offers the learners a basic introduction to postgraduate research to understand how evidence is used for decision-making. By exploring scholarly literature, you will become familiar with the objectives and importance of quality research, and the methods of data collection using descriptive statistics and processes involved in carrying it out. Understanding research and the processes involved in conducting, designing, reporting, interpreting, and evaluating research is of paramount importance to success in postgraduate study.

Learning outcomes

LO1: Understand how to critically analyze business data in an organizational decision-making context

LO2: Application of different statistical data analysis methods and data visualization techniques to arrive at sound business decisions.

Expectations

Materials Access

All learning materials are provided in the form of a module kit and can be accessed from the Learning Management system (LMS)

Learning Hours

Students need to be aware of their commitment requirements regarding study time. To give you an indication of that, we have based the following information on the Malta Higher Education Quality Assurance Agency guidelines. The notional learning hours associated with qualifications, programmes and individual units of study are based on a broad agreement across institutions that students can expect to spend 10 hours learning on average in order to gain one academic credit unit (QAA 2006).

Re-sit

If you do not secure a pass when calculated from both the assignments, please read closely the feedback and speak with your Course leader(s) or faculty. After consulting the feedback, close attention is essential to rework on the areas of weakness, and then resubmit the work at the next opportunity. As per the QAA requirements, only one REDO is allowed where the marks will be capped at a Pass.

Plagiarism

All forms of plagiarism are taken seriously, and any suspected cases will be investigated thoroughly. If a case is found proven, then the work will be graded as a failure and the case will be reviewed by the academic committee. The assessment team checks the Turnitin before the evaluation of the assignment is undertaken.

Student appeals

There are no re-evaluations as the marks are graded and internally verified before release for both the assignments. Any dissatisfaction on the grades should be annotated in detail and sent to the course leader. However, this will not guarantee a re-evaluation.

Assignment submission extensions

Students can apply for extensions via the LMS based on extenuating circumstances (if any) with evidence (proof) as per our extensions policy.

General Guidelines

Complete the To be filled by the student section in the cover page.

Both the assignments must be submitted as an electronic document in required format via the LMS

There are no criteria for PPT as you can be as creative as possible. For the word document Use 12 Times New Roman script with 1.5 spacing between lines.

The results are declared only if the student has met the mandatory attendance requirement of 75% and/or minimum 50 % under extenuating circumstances approved and ratified by the academic committee and the examination board.

The students have to submit both Formative and Summative Assignments to score a minimum of 60% to clear the module.

The assignment should not contain any contents with references cited from websites such as ukessays.com, styudymode.com, slideshare.net, scribd.com, Wikipedia but should contain references/citations from credible academic journal and articles.

Submit the assignment on the LMS with the file name being: First Name Last Name _ Module Abbreviation_Type of assignment. For example: John Smith_IBE_FormativeChecklist

I have filled the student Information columns below.

The assignment is checked for being Formative/Summative and is being submitted accordingly.

I have strictly followed Harvard Referencing Style and Citations.

Formative Assignment Grades

Sno. Task Grade Comments

1 Create a line chart for the time series data for years 1 through 5 showing the number of vehicles manufactured by each company. The time series for all manufacturers should be displayed on the same graph ../05 2 Based on the line chart that you have created, comment on what you infer about the production amounts between years 1 through 5 ../08 3 Construct a clustered bar chart showing vehicles produced by vehicle manufacturers using the data for years 1 through 5. Make sure that you represent the years of production along the horizontal axis and cluster the production amounts for the four manufacturers in each year. Identify which is the leading manufacturer in each year. ../07 4 Assign hours of studying as the independent variable and develop a scatter chart. Comment on the relationship between hours of studying and the score gained in the course ../05 5 Using the given data, develop a regression equation which can be used to predict the score gained to the hours of studying ../05 6 To what extent does the model explain the variation in the sample values of scores gained in the course ../05 7 If a student spends 95 hours of studying statistics, use the model that you developed to predict the score that he/she is likely to gain. ../05 Assessment type Marks Marks Achieved

FORMATIVE ASSIGNMENT SHORT ANSWERS 40 GPA GRADE FEEDBACK ON FORMATIVE

WOOLF ASSIGNMENT RUBRIC

All the questions that are given in the word document (Formative Assignment) will be checked for these descriptions and the percentage of marks will be determined based on each. A detailed explanation can be provided to the learners when preparing the sheet based on the following pointers.

Descriptors Percentage of Marks

Relevance: Directly relevant to the requirements of the assessment. 20%

Knowledge: A substantial knowledge of relevant materials, showing a clear grasp of themes, questions, and issues therein. 20%

Explanation: Good explanation in a clear, structured manner. 10%

Argument and Structure: Generally coherent and logically structured, using an appropriate mode of argument and/or theoretical model(s). The candidate has shown understanding and application of correct methods to the situation provided. 20%

Critical Evaluation: It May contain some distinctive or independent thinking; it may be to formulate an independent position related to theory and/or practice. 20%

Presentation: Well written, with standard spelling and grammar, in a readable style with acceptable style with acceptable format. 5%

References and Citation Uses a range of sourcesvery good use of source material to complete the work and the references and citation are in order. 5%

Assessment

Evidence Based Decision Making

Formative Assignment (40 Marks; 1000 words)

Note: For Questions 1 and 2, use MS Excel for data analysis.

Refer to Vehicle Production.

Production (millions of vehicles)

MANUFACTURER Year 1 Year 2 Year 3 Year 4 Year 5

TOYOTA 8.04 8.53 9.24 7.23 8.56

GM 8.97 9.35 8.28 6.46 8.48

VOLKSWAGEN 5.68 6.27 6.44 6.07 7.34

HYUNDAI 2.51 2.62 2.78 4.65 5.76

The file gives the details on the number of vehicles produced by different manufacturers in five different years.

Create a line chart for the time series data for years 1 through 5 showing the number of vehicles manufactured by each company. The time series for all manufacturers should be displayed on the same graph. [5 Marks; 50 words]

Based on the line chart that you have created, comment on what you infer about the production amounts between years 1 through 5 [8 Marks; 250 words]

Construct a clustered bar chart showing vehicles produced by vehicle manufacturers using the data for years 1 through 5. Make sure that you represent the years of production along the horizontal axis and cluster the production amounts for the four manufacturers in each year. Identify which is the leading manufacturer in each year. [7 Marks; 200 words]

Refer to file StatScore.

Hours Spent Studying Total Points Earned

22 12

20 18

29 25

24 25

43 28

46 29

39 35

40 39

51 40

43 43

39 43

51 49

52 50

65 51

57 53

56 53

52 55

66 55

63 57

68 57

67 59

42 59

65 59

69 60

72 60

66 61

53 61

45 61

58 62

81 62

60 62

57 62

77 62

78 63

67 64

78 64

72 64

58 64

71 65

76 65

79 66

83 66

65 66

72 66

71 66

52 67

78 67

70 67

81 67

80 68

79 68

72 68

75 68

91 68

65 68

84 69

77 69

78 70

72 70

84 70

83 70

67 70

80 71

78 71

72 72

70 72

94 72

92 72

84 73

98 73

78 73

78 73

84 73

74 74

90 74

83 74

84 74

83 75

78 75

93 75

80 75

101 76

81 76

83 76

91 76

83 76

93 76

78 76

78 77

65 77

84 77

97 77

88 77

93 78

93 78

95 78

95 79

91 79

95 79

94 79

95 80

102 80

105 80

83 80

99 80

97 81

79 81

101 81

88 82

93 83

95 85

94 85

104 85

88 85

80 86

98 86

83 86

91 86

90 87

83 87

92 88

88 88

99 89

101 90

101 90

99 90

102 90

84 90

110 91

93 91

105 91

109 91

91 92

104 92

95 92

98 92

91 93

104 93

104 94

106 95

95 95

106 95

92 95

101 96

95 96

109 96

95 96

101 96

105 97

104 97

104 97

105 98

95 99

109 100

110 100

101 100

A statistics professor at one of the prestigious business schools is interested in the relationship between hours of studying and the score gained in a course. Data has been collected on 156 students who attended the course in the previous semester.

Assign hours of studying as the independent variable and develop a scatter chart. Comment on the relationship between hours of studying and the score gained in the course [5 Marks; 100 words].

Using the given data, develop a regression equation which can be used to predict the score gained to the hours of studying [5 Marks; 100 words].

To what extent does the model explain the variation in the sample values of scores gained in the course? [5 Marks; 200 words]

If a student spends 95 hours of studying statistics, use the model that you developed to predict the score that he/she is likely to gain. [5 Marks; 100 words]

139700-431799ASSIGNMENT COVER PAGE

ASSIGNMENT COVER PAGE

EVIDENCE BASED DECISION MAKING

COURSE/ UNIT INFORMATION

Course Master of Business Administration

Course Level Masters

Module Name Evidence based Decision Making

ASSIGNMENT INFORMATION

Formative Assignment/Summative Assignment SUMMATIVE ASSIGNMENT

Faculty Ms. Annmol Cherian

TO BE FILLED BY THE STUDENT

Student Name Student ID Email ID Date Submitted

MARKS DIVISION

For the reference of the Learners Only. The total marks of both assignments will get the grade as per the descriptors.

NB: The Turnitin will be checked by the assessment team, the report need not be generated from the students side.

Assessment type Marks

FORMATIVE ASSIGNMENT SHORT ANSWERS40

SUMMATIVE ASSIGNMENT ESSAY 60

Overall Marks 100

GRADE DESCRIPTORS

GPA GRADE MARKS (Out of 100)

4 A+ 97-100

3.9 A 94-96

3.7 A- 90-93

3.3 B+ 87-89

3 B 84-86

2.7 B- 80-83

2.3 C+ 77-79

2 C 74-76

1.7 C- 70-73

1.3 D+ 67-69

1 D 64-66

0.7 D- 60-63

0 F Below 60

Module Description

Evidence based Decision Making module offers the learners a basic introduction to postgraduate research to understand how evidence is used for decision-making. By exploring scholarly literature, you will become familiar with the objectives and importance of quality research, and the methods of data collection using descriptive statistics and processes involved in carrying it out. Understanding research and the processes involved in conducting, designing, reporting, interpreting, and evaluating research is of paramount importance to success in postgraduate study.

Learning outcomes

LO1: Understand how to critically analyze business data in an organizational decision-making context

LO2: Application of different statistical data analysis methods and data visualization techniques to arrive at sound business decisions.

Expectations

Materials Access

All learning materials are provided in the form of a module kit and can be accessed from the Learning Management system (LMS)

Learning Hours

Students need to be aware of their commitment requirements regarding study time. To give you an indication of that, we have based the following information on the Malta Higher Education Quality Assurance Agency guidelines. The notional learning hours associated with qualifications, programmes and individual units of study are based on a broad agreement across institutions that students can expect to spend 10 hours learning on average in order to gain one academic credit unit (QAA 2006).

Re-sit

If you do not secure a pass when calculated from both the assignments, please read closely the feedback and speak with your Course leader(s) or faculty. After consulting the feedback, close attention is essential to rework on the areas of weakness, and then resubmit the work at the next opportunity. As per the QAA requirements, only one REDO is allowed where the marks will be capped at a Pass.

Plagiarism

All forms of plagiarism are taken seriously, and any suspected cases will be investigated thoroughly. If a case is found proven, then the work will be graded as a failure and the case will be reviewed by the academic committee. The assessment team checks the Turnitin before the evaluation of the assignment is undertaken.

Student appeals

There are no re-evaluations as the marks are graded and internally verified before release for both the assignments. Any dissatisfaction on the grades should be annotated in detail and sent to the course leader. However, this will not guarantee a re-evaluation.

Assignment submission extensions

Students can apply for extensions via the LMS based on extenuating circumstances (if any) with evidence (proof) as per our extensions policy.

General Guidelines

Complete the To be filled by the student section in the cover page.

Both the assignments must be submitted as an electronic document in required format via the LMS

There are no criteria for PPT as you can be as creative as possible. For the word document Use 12 Times New Roman script with 1.5 spacing between lines.

The results are declared only if the student has met the mandatory attendance requirement of 75% and/or minimum 50 % under extenuating circumstances approved and ratified by the academic committee and the examination board.

The students have to submit both Formative and Summative Assignments to score a minimum of 60% to clear the module.

The assignment should not contain any contents with references cited from websites such as ukessays.com, styudymode.com, slideshare.net, scribd.com, Wikipedia but should contain references/citations from credible academic journal and articles.

Submit the assignment on the LMS with the file name being: First Name Last Name _ Module Abbreviation_Type of assignment. For example: John Smith_IBE_FormativeChecklist

I have filled the student Information columns below.

The assignment is checked for being Formative/Summative and is being submitted accordingly.

I have strictly followed Harvard Referencing Style and Citations.

Summative Assignment Grades

Sno. Task Grade Comments

1 What problem is big data helping the company to resolve? Give details of big data, its tool and then explain its importance in this problem? ../20 2 Identify the data used by the company and evaluate the practices followed to use this data. ../20 3 Analyse the challenges the company had to overcome in order to successfully use data for decision-making. ../20 Assessment type Marks Marks Achieved

SUMMATIVE ASSIGNMENT REPORT 60 GPA GRADE FEEDBACK ON SUMMATIVE ASSIGNMENT

WOOLF ASSIGNMENT RUBRIC

All the questions that are given in the word document (Summative Assignment) will be checked for these descriptions and the percentage of marks will be determined based on each. A detailed explanation can be provided to the learners when preparing the sheet based on the following pointers.

Descriptors Percentage of Marks

Relevance: Directly relevant to the requirements of the assessment. 20%

Knowledge: A substantial knowledge of relevant materials, showing a clear grasp of themes, questions, and issues therein. 20%

Explanation: Good explanation in a clear, structured manner. 10%

Argument and Structure: Generally coherent and logically structured, using an appropriate mode of argument and/or theoretical model(s). The candidate has shown understanding and application of correct methods to the situation provided. 20%

Critical Evaluation: It May contain some distinctive or independent thinking; it may be to formulate an independent position related to theory and/or practice. 20%

Presentation: Well written, with standard spelling and grammar, in a readable style with acceptable style with acceptable format. 5%

References and Citation Uses a range of sourcesvery good use of source material to complete the work and the references and citation are in order. 5%

Assessment

Evidence Based Decision Making

Scenario: Netflix managers have tirelessly collected and analyzed information to build lucrative markets where none previously existed. Those insights allowed it grow into the only worldwide streaming network. Today, the service has 137 million subscribers and is on pace to do $15 billion in sales through fiscal 2018.

[Source: https://www.forbes.com/sites/jonmarkman/2019/02/25/netflix-harnesses-big-data-to-profit-from-your-tastes/#53f0ed5b66fd]

Summative Assignment (60 Marks, 3000 words)

The following questions have to be answered with reference to the preceding scenario.

(The student is encouraged to refer to appropriate literature sources and provide proper referencing wherever needed.).

What problem is big data helping the company to resolve? Give details of big data, its tool and then explain its importance in this problem. [20 Marks, 1000 words]

Identify the data used by the company and evaluate the practices followed to use this data. [20 Marks, 1000 words]

Analyze the challenges the company had to overcome in order to successfully use data for decision-making. [20 marks, 1000 words]