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Write a summary about how area under the curve is related to the idea of integral calculus

 
 

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1.The assignment is to write a 1,500-2,000 word (3-4 pages double-spaced) summary of a scholarly article, or in this case, ...

le, or in this case, an essay. A link to the article to be summarized is attached below. You may find a helpful guide for writing a summary of an academic article HERE (Links to an external site.) (Links to an external site.). Minimally, your summary should: A. Summarize all the different historical interpretations of Leviticus purity rituals as discussed in Mary Douglas’ Purity and Danger (in the module on Canvas and below). B. Summarize M. Douglas' response to the different historical interpretations, and her approach to the purity ritual in this essay. C. Summarize what the rituals in Leviticus express about human relationship with God (according to the reading).
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2.This first part of the Individual Research Project is an Outline and Annotated Bibliography. The Outline should provide a very brief ...

tline should provide a very brief overview of what you think you will do in the Policy Brief. The Annotated Bibliography requires you to summarize at least three peer-reviewed scholarly sources you will cite in the Policy Brief. This assignment is designed to get you thinking about your topic in a way that clearly anticipates the writing you will do for the Policy Brief. We want you to brainstorm and do a bit of research well in advance of the deadline for the Policy Brief and, most importantly, we want you to put your ideas down on paper so that we can give you feedback before writing the actual Policy Brief. In other words, we are asking you to submit an Outline and Annotated Bibliography so that we can help you write the best Policy Brief possible. Your Outline should be divided into the following five sections and should be written in complete sentences: I. Audience: Identify the audience you are addressing and consider what that audience is interested in. Who are you talking to in the Policy Brief and what does this suggest about the approach you should take? (75-100 words). II. Problem: State how you know the issue exists. What is the proof that students need to improve this skill? (125-150 words). III. Importance of Problem: Indicate why this problem matters. What are the consequences of the problem not being addressed? Why do students need to improve this skill? (100 words) IV. Solution: Identify your preferred solution. What solution will work in your context and why? (75-100 words) V. Alternative Solution: Identify at least one other possible solution. What other solutions did you consider? (75-100 words) The total length of the Outline should be between 450 and 550 words. When you submit your Outline, you must also include an Annotated Bibliography. An Annotated Bibliography is an alphabetical list of research sources that provides bibliographical data (the title, author, date, publisher, etc.) and a short summary or annotation of the source. Your Annotated Bibliography should contain a minimum of three scholarly or peer-reviewed sources, each with an accompanying annotation that is between 150 and 250 words long. The annotations must summarize the research question or thesis, research methodology, results, and conclusion. Annotations must include summaries and paraphrased information, NOT quotations. A good annotation will include two separate paragraphs: 1) a paragraph summarizing the research question or thesis, research methodology, results and conclusion; and 2) a paragraph commenting on why this source is relevant for your research.
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3.Task 1 You are asked to carry out a study on behalf of a business analytics specialised consultancy on a subsample ...

on a subsample of weekly data from Randall’s Supermarket, one of the biggest in the UK. Randall’s marketing management team wishes to identify trends and patterns in a sample of weekly data collected for a number of their loyalty cardholders during a 26-week period. The data includes information on the customers’ gender, age, shopping frequency per week and shopping basket price. Randall’s operates two different types of stores (convenient stores and superstores) but they also sell to customers via an online shopping platform. The collected data are from all three different types of stores. Finally, the data provides information on the consistency of the customer’s shopping basket regarding the type of products purchased. These can vary from value products, to brand as well as the supermarket’s own high-quality product series Randall’s Top. As a business analyst you are required to analyse those data, make any necessary modifications in order to determine whether for any single customer it is possible to predict the value of their shopping basket. Randall’s marketing management team is only interested in identifying whether the spending of the potential customer will fall in one of three possible groups including: • Low spender (shopping basket value of £25 or less) • Medium Spender (shopping basket value between £25.01 and £70) and • High spenders (shopping basket greater than £70) For the purpose of your analysis you are provided with the data set Randall’s.xls. You have to decide, which method is appropriate to apply for the problem under consideration and undertake the necessary analysis. Once you have completed this analysis, write a report for the Randall’s marketing management team summarising your findings but also describing all necessary steps undertaken in the analysis. The manager is a competent business analyst himself/herself so the report can include technical terms, although you should not exceed five pages. Screenshots and supporting materials can be included in the appendix. Requirements After completing your analysis, you should submit a report that consists of two parts. Part A being a non-technical summary of your findings and Part B a detailed report of the analysis undertaken with more details. Part A: A short report for the Head of Randall’s Marketing Management (20 per cent). This should briefly explain the aim of the project, a clear summary and justification of the methods considered as well as an overview of the results. Although, the Head of Randall’s Marketing Management team who will receive this summary is a competent business analytics practitioner, the majority of the other team members have little knowledge of statistical modelling and want to know nothing about the technical and statistical underpinning of the techniques used in this analysis. This report should be no more than two sides of A4 including graphs, tables, etc. In this report you should include all the objectives of this analysis, summary of data and results as well as your recommendations (if any). Part B: A technical report on the various stages of the analysis (80 per cent). The analysis should be carried out using the range of analytics tools discussed: • SPSS Statistics Ensure that the exercise references: • Binary and multinomial logistic regression • Linear vs Logistic regression • Logit Model with odds Ratio • Co-efficients and Chi Squared • MLR co-efficients • Assessing usefulness of MLR model • Interpreting a model • Assessing over-all model fit with Psuedo R-Squared measures • Classification accuracy (Hit Ratio) • Wald Statistic • Odd ratio exp(B) • Ratio of the probability of an event happening vs not happening • Ratio of the odds after a unit change in the predictor to the original odds • Assumptions • Residuals analysis • Cook’s distance • DfBeta • Adequacy (with variance inflation factor VIF and tolerance statistic) • Outliers and influential points cannot just be removed. We need to check them (typo? – unusual data?) • Check for multicollinearity • Parsimony Write a short and concise report to explain the technical detail of what you have done for each step of the analysis. The report should also cover the following information: • Any type of analysis that might be useful and check whether the main assumptions behind the analyses do not hold or cannot be • Give evidence of the understanding of the statistical tools that you are using. For example, comment on the model selection procedure and the coefficient interpretation, e.g. comment on the interpretation of the logistic regression coefficients if such a method is used and provide an example of • Conclusions and explanation, in non-technical terms, of the main points
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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

mathematicsalgebra Physics