Examine two to three of the challenges involved with using graphs, functions, and trees when modeling relationships. Provide examples with your response.Of the topics presented in this chapter, determine which is the most important for solving relational thinking problems. Discuss your reasoning behind your selection.

Part 1Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.From the dataset you chose, choose one categorical and one continuous variable and perform the appropriate visual display for each variable.Once you visually display each variable, copy and paste your output into your Word document.For this Part 1 Assignment:Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document.Use appropriate APA format. Refer to the APA manual for appropriate citation.Part 2open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Part 1 of your Assignment in Week 2.Choose the same two variables you chose from your Part 1 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Part 2 Assignment:Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document. Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.Part 3open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you chose) from Week 2.Choose an appropriate variable from Parts 1 and 2 of this Assignment and calculate a confidence interval in SPSS.Once you perform your confidence interval, review Chapter 5 and 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Part 3 Assignment:Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document.Use appropriate APA format. Refer to the APA manual for appropriate citation.

Scenario: A venture capitalist has just given you several million dollars to develop your dream product! Explain in detail what this product is and why people would buy it. (Think Steve Jobs and the iPhone - did people really think we needed “smartphones” back in 2007?)Main Post: Now your dream product has gone into production and the manager is asking you, as the statistical expert, to use statistical methods to ensure quality control.1. You will generate a random dataset of N samples of defective proportions by completing the following steps:a) You will start with a random number by combining the last 2 digits of the year in which you were born plus the day of the month in which you were born. For example, if you were born October 3, 1990, your number would be 90 + 3 = 93. (If your number exceeds 100, subtract 100 from the total.) Call this X and it will seed your random number generation. MY DATE OF BIRTH IS 9/4/1978.b) Choose a number of samples, N. (N should be between 5 and 10 samples.)c) In Excel, type =RAND()*X in a cell. Repeat N times. This will generate the proportion of defective products (out of 100) for your N samples.2. Use Excel to create a p-chart for a sample size, 100, and the number of samples, N.3. Write a professional memo to your business/company owner describing the production quality so far and prioritizing any control measures necessary to guarantee high quality products. Address the following items and questions in your professional memo:Describe your product, its use, and societal value. (Humor is encouraged.)Share and summarize your p-chart.What is your Lower Control Limit (LCL) and Upper Control Limit (UCL)?Is the product in control? If not in control, what sample(s) was outside of the limits, i.e., below LCL or above UCL?What measures could be taken now to address the data points that out of control?What recommendations would you suggest to optimize quality in future production?