Mathematics

For this part of the assignment, use the Ionosphere dataset. It’s part of the mlbench library and can be loaded withdata(Ionosphere, package=’mlbench’)After loading the data, remove the first two columns from the dataset and create a training/validation set split so that each model you built can be evaluated using the validation set.First use overall accuracy as a metric to compare logreg, LDA, QDA, and kNN with k taking on all values between 1 and the max value you determine is appropriate for the dataset, inclusive. Use the formula we saw in this week’s announcement for the confidence intervals of the accuracy rate so you can include the confidence interval for each accuracy estimate. Create a table showing the accuracy for each model and also answer the following questions in the text of your document. Which model has the best overall accuracy? Is it significantly different than the accuracy of any of the other models?Based on what you know about each classifiers strengths and weaknesses (Section 4.5), what might the different models be indicating about the dataset?Based on what you can tell from exploratory visualization of the dataset, do you see any indications that one model should be more suitable than another? Include visualizations to back up your argument.

**Reference previous order**SPSS StatisticsAssignment ContentAccess the SPSS® Data Sets in the Course Resources > Student Success Guide to download the data set for this assignment.Open dataset SAQ (Item 3 Reversed).sav in SPSS®.his exercise must be completed on the four subscales below, and you should, therefore, produce four reliability analyses. Subscale 1 (Fearof statistics): items 1, 3, 4, 5, 12, 16, 20, 21 Subscale 2 (Peerevaluation): items 2, 9, 19, 22, 23Subscale 3 (Fearof computers): items 6, 7, 10, 13, 14, 15, 18Subscale 4 (Fear of mathematics): items 8, 11, 17 Using the directions outlined in Section 18.10 (Ch. 18) of Field (2018), conduct a reliability analysis.Note: Access to Ch. 18 can be found in the Week 3 Optional Activities.Post the output from your reliability analysis into a Microsoft® Word document. Also, include responses to the following questions:What did the results tell you about the reliability of the scale?What actions can be taken by a researcher to improve the reliability of a scale?

case writeup:around 2-page reflection write-up, 400-600 words • 1 paragraph synopsis of what is the data source, methods, and approach • 2-3 paragraph: What did you find more insightful? What was most counterintuitive?ALSO, raise and write 3-5 insightful and critical questions (about the statistics, economic, consumer analysis,… overall about the class title” BIG DATA CONSUMER ANALYTICS) for the case.

Need proof reading/edit of what has already been done to ensure a great assignment Case Study – In the first half of class, you have gained knowledge about global supply chain uncertainty, risk and probabilities, hazards and gain insight into a variety of industries’ risk. In the second half of class we have learned about business continuity, data modeling and visibility of disruptive events. In a case study of your choice, conduct an analysis regarding risk, business continuity, data modeling, and visibility. The case study analysis requires you to investigate a business problem, examine the alternative solutions, and propose the most effective solution using supportive evidence. Select an industry or a company and answer the follow: Describe background information on the specific topic Analysis of the case showing problems or effective strategies to manage risk and resilience Offer recommendations on the best strategies for the organization or the industry Minimum of 1500 words

State whether each equation is true or false for the values of the variables given

No length requirements Suppose that you have two sets of data to work with. The first set is a list of all the injuries that were seen in a clinic in a month’s time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor’s office. You can make assumptions about other information or variables that are included in each data set. For each data set, propose your idea of how best to represent the key information. To organize your data would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why? What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph?

Reflect & Write Previous knowledge/skill and attitude (sometimes referred to as “mindset”) are important foundations for learning. In this first discussion, reflect on these two foundations and write a two-paragraph response (at least 500 words in total) for each of the following two areas to begin your practice of communicating technical information. Past Think back to when you were in your early school days and reflect on your mathematical experiences. Be sure to concentrate on you, rather than on the influences of teachers, parents, siblings, etc. Some questions to prod your thinking include: What study habits or classroom activities helped you learn math? Which ones were not helpful? Did group activities help you learn math, help improve your grade, or both? Did you have different study habits for your math classes than for your other classes? If so, why? Present Think about your college experiences with math. If this is your first college mathematics class, answer these questions with how you think this semester will go. Have your study habits changed or remained the same? Are they working? Are there any modifications that you have made, or plan to make, now that you are in an online math class?  In either section, Past or Present, refer to at least two of the Learning Outcomes listed in the syllabus to connect your memories to this class. Review the course syllabus located in the navigation menu. Post & Reply Post your 500-word, two-paragraph response by the end of the fourth day of the module week. Then, read your classmates’ posts and reply to at least two with observations that add to a conversation about the course topics. You must make your initial post before you can see the posts of your classmates. Please read these instructions for information on accessing the discussion rubric.  (Links to an external site.)

Creating Your Personal Budget For this assignment, you will apply what you have learned in this unit to a small business. To get the business’s finances under control, you need to prepare a budget. You may consider items from your personal finances and cash flow to help you identify possible expense items for the small business budget. Research the CSU Online Library or the Internet for steps to creating a personal budget. Monthly expenses might include rent, utility costs, personal loans, car loans, credit cards, groceries, childcare, vehicle maintenance costs and insurance, phone charges, and cable or streaming costs. Cash flow considerations might include monthly salaries, commissions, and allowances. You can use any budget format that you are comfortable with, or you may select a free template. Your budget should be completed using Excel. Once you have completed your budget, in a separate Word document, address the information below. How can the use of the budget be used in the planning process? How can this financial information influence short-term and long-term decisions? Based on your personal budget, what are your static expenses? What are your flexible expenses? As an accountant, reflect on how you can use what you have learned in this activity in the workplace. Your submission should include one Excel document, which contains your budget, and a one-page Word document, which contains your responses to the prompts above. You should include at least two resources to support your responses. Adhere to APA Style when creating citations and references for this assignment

#1. Pick an industry in the Resilinc 2018 Annual report. Describe uncertainties in the industry and possible risk mitigation. Search the internet for one or two examples of that industry and how they dealt with such uncertainty as described by Resilinc. (minimum of 500 words) #2 Case Study – due at the end of week 7. In the first half of class, you have gained knowledge about global supply chain uncertainty, risk and probabilities, hazards and gain insight into a variety of industries’ risk. Look at the Sample Case Study analysis to guide you on writing the case study. A case study analysis requires you to investigate a business problem, examine the alternative solutions, and propose the most effective solution using supportive evidence. Select an industry or a company and answer the follow: Describe background information on the specific topic Analysis of the case showing problems or effective strategies to manage risk and resilience Offer recommendations on the best strategies for the organization or the industry. Minimum of 1500 words https://www.youtube.com/embed/wc-IhNWwtO8?wmode=opaque&rel=0

Scenario Background: A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends. You work for Mercer Human Resources. The Mercer Human Resource Consulting website lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC. More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes. https://mobilityexchange.mercer.com/Insights/ cost-of-living-rankings#rankings Assignment Guidance: In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars. You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. Deliverable Requirements: This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview. What is an Executive Summary? Things to Consider: To help you make this decision here are some things to consider: Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located. Based on the descriptive statistics, for the significant predictors, what city has the best potential? What city or cities fall are below the median? What city or cities are in the upper 3rd quartile?