Saudi Electronic University Decision Support Systems Questions

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Saudi electronic university

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College of Computing and Informatics Decision Support Systems IT 445 Assignment 2 DEADLINE: SUNDAY 03/04/2021 @ 23:59 [Total Mark for this Assignment is 8] Student Details: Name: ### ID: ### CRN: ### Instructions: • • • • • • • • • • You must submit two separate copies (one Word file and one PDF file) using the Assignment Template on Blackboard via the allocated folder. These files must not be in compressed format. It is your responsibility to check and make sure that you have uploaded both the correct files. Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between words, hide characters, use different character sets, convert text into image or languages other than English or any kind of manipulation). Email submission will not be accepted. You are advised to make your work clear and well-presented. This includes filling your information on the cover page. You must use this template, failing which will result in zero mark. You MUST show all your work, and text must not be converted into an image, unless specified otherwise by the question. Late submission will result in ZERO mark. The work should be your own, copying from students or other resources will result in ZERO mark. Use Times New Roman font for all your answers. Question One Pg. 01 Learning Outcome(s): LO 5 Question One 2 Marks In a meal trial comparing two types of infant formula X and Y, we found the following Instructors: Improve hands-on skills using Excel, and Orange for building Decision Support Systems. results of weight gain in 10 infants. formula X 5.8 6.4 5.1 3.2 5.1 6.4 4.2 6.9 5.8 formula Y 6.4 5.6 3.3 5.6 7.0 4.5 7.5 5.8 6.4 Examine the significance of the infants’ weight gain due to formula Y at 0.05 alpha level. You need to: 1. Provide a screenshot for your work. [0.5 Mark] 2. Explain your chosen function’s type/tool to examine the significance. [0.5 Mark] 3. Explain your answer. [1 Mark] Question Two Pg. 02 Learning Outcome(s): LO 2, LO 4 Instructors: Describe advanced Business Intelligence, Business Analytics, Data Visualization, and Dashboards. and Analyse various industrial applications of DSS and their limitations. 2 Marks Question Two Using the below link select one of the dashboard examples and answer the following question. https://www.dundas.com/learning/samples 1- Provide a screenshot of your selected dashboard and briefly state what it presented. [0.5 Mark] 2- Describe the types of metrics found on your selected dashboard. [0.25 Mark] 3- What types of displays are used to provide the information? [0.5 Mark] 4- Using what you know about common characteristics of dashboards, list three examples about how your selected dashboard applied those characteristics. [0.75 Mark] NOTE: Copying from other students will result in ZERO mark. Question Three Pg. 03 Learning Outcome(s): LO 1 Instructors: Demonstrate an understanding of the concepts of decision analysis and decision support systems (DSS) including probability, modelling, decisions under uncertainty, and real-world problems. 2 Marks Question Three According to customer satisfaction survey of service provider X, the percentage of customers stopped using company’s products and services at a certain time frame were influenced by cost, network, and service quality. The survey report found out that 30 out of 300 customers left the service provider X in the first quarter of last year. Using a quantitative model-based decision-making method, answer the following: 1. Suggest your hypothesis. 2. Suggest a hypothesis testing method. Question Four Pg. 04 Learning Outcome(s): LO 1 Instructors: Demonstrate an understanding of the concepts of decision analysis and decision support systems (DSS) including probability, modelling, decisions under uncertainty, and real-world problems. 2 Marks Question Four Table below shows a heart disease risk dataset: Age Blood Gender Heart Pressure
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Explanation & Answer

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Question one.

Using a correlation coefficient (p-value) to make a decision.

If the p-value is less than the significance level then the decision would be to reject the null
hypothesis because there is sufficient evidence to draw the conclusion that there is a significant
linear relationship between formula X and formula Y. Otherwise if the p-value is greater than or
equal to the significance level, then the null hypothesis should be accepted because there is
insufficient evidence to conclude that there is a significant linear relationship between formula
X and formula Y.

Question two.

1.)

2.)
Product metrics: It describes the CR monthly breakdown and the outstanding age breakdown. It
also describes features such as sales, strategy development, market development and release
management.
Project metrics: It describes the characteristics of month...

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