mcs3500 a3

Divvy Bikes 2021 summer ridership has increased 30% from the ridership levels in 2020.  Divvy's management attributes this to 2020 having fewer work places and recreation venues were open than in 2021.   This is an example of which type of data analytics?   Question 6 options:   a)  Descriptive   b)  Diagnostic   c)  Predictive   d)  Prescriptive

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Element Ease of Use Processing Power App Library User Interface A/V Quality TOTAL A) Jared's Streaming Video Weighted Scoring Model B) C) X, X² Product A Weight (%) Scale (1-10) Grade W (W x Scale) Type your answers in all of the blanks and submit D) A 20 20 10 10 100% Type your answer here Type your answer here 8 6 Type your answer here 9 5 10 Type your answer here B 1.2 3/5 answered 1.8 0.5 1 Fill in the missing numbers using the attached document (round to two decimal places). Product B Scale (1-10) Grade 5 7 8 10 7 (W x Scale) с 1.4 1.6 1 0.7 Product C Scale (1-10) Grade (W x Scale) 78995 D 1.6 1.8 0.9 0.5

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What is USC-CT problem solving process and how is it used, provide examples? please no plagarism.

III. What is the expected value of sample information IV. What is the efficiency of the survey information

Can you write research short report of “ The Importance of Storm Water Management on Green Infrastructure “ using this points Abstract Introduction Methodology Results Discussion/interpretation of results Conclusion Recommendations

Daily study time of high school students of a school. O Primary data O Secondary data

15-In customer data gathering one of the following is not referred to as a soft data? a.Phone contacts . B.Measurement data C.Focus group . d Survey results .

Month Actual Sales Naive Forecast- Absolute Value of (# of Product X) Sales Errors (# of Product X) Jan/19 Feb/19 Mar/19 Apr/19 May/19 Jun/19 Jul/19 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 Jan/20 1,860 2,033 3,556 4,211 6,250 7,990 10,250 9,850 9,980 9,990 7,895 5,353 - Explain the calculation method for the Naive Forecast model. the faln

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Describe the process of minimization with simplex method?

1- Explain the facts regarding the data, including number of variables and datapoints.   #of variables       # of observations     2- Complete the table as follows, List the variables features including, names, variable, level, etc.    Variable Variable Type Variable Level     Age Numeric Ratio     Gender Categorical        Sales_Rep         Business         Years         College         Personality         Certificates         Feedback         Salary         NPS       Part 3 is shown on the photo

Smith Corporation is using employee data on the length of the employee's commute to the office to forecast the impact on employee retention that a potential return to in person work at the corporate headquarters vs continuting to permit employees to work remotely.   Which type of data analytics was being used by Smith Corporation?   Question 7 options:   a)  Descriptive   b)  Diagnostic   c)  Predictive   d)  Prescriptive

In examining parental involvement at xyz Primary School, insights were garnered from 15 parents, 15 teachers, and 15 students, contributing to a comprehensive understanding of parental engagement, academic performance, and the perceived impact on students' education. The structured interviews with teachers and the questionnaire responses from parents and students created a diverse dataset, capturing a snapshot of the current state of affairs within the school community. It is essential to acknowledge the biases inherent in our data collection process. The self-reported nature of the data introduces the possibility of social desirability bias, where participants may provide responses aligned with societal expectations. The teachers' perspectives may carry professional biases, potentially influencing a more positive view of parental involvement. Moreover, the study's limitations, including a sample size of 15 for each group and a lack of longitudinal perspective, emphasize the need for…

Question 3 An organization uses a business intelligence system to predict products that tend to be purchased together. This is an example of. O A) Regression Analysis B) Cluster Analysis C) REM Analysis D) Market Basket Analysis

"The table below is data on telephone usage time by operators to serve customer requests that will be used to explain the use of Xbar and R-chart".   Question: a.    Create UCL and LCL with Limit Control Factor A2b.    Create UCL and LCL with Limit Control Factor D3 and D4

Answer number 2 only. Full solution. Unique answers only.

1. Give a specific example and scenario in Hospitality Industry that we can apply the Data Analysis Cycle. Identify the Problem Identify Available Data Sources Identify if Additional Data Sources are needed Statistical Analysis Implementation and Development Communicate Results Maintenance

How many columns had to be selected to create this chart? Product Line - Units Sold This year Last year Product A Product B Product C Product D 200 400 600 800 1000 1200 O 3: 1 column of labels and 2 columns of data O 2: one column of labels and one column of data O 4: 2 columns of labels and 2 columns of data O 1: all labels and data were in the same column

Scatter plot Which are correct? A) positive / negative/ cluster/ not applicable B) linear / none linear C) strong correlation / weak correlation