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Solving Statistics Assignments Gets 10x Easier with Us Statistics
Course Code   :  ANL203
Course Title   :  analytics for decision-making
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Assignment OverviewThis assignment is worth 23% of the final mark for Analytics for Decision-Making. This is a group-based assignment. You should form a group of 4 members from your seminar group. Each group is required to upload a single report via your respective seminar group site in Canvas.Please elect a group leader. The responsibility of the group leader is to upload the report on behalf of the group. It is important for each group membe...

Course Code   :  SEEM511
Course Title   :  engineering computational methods
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Task DescriptionAssignment Brief:A total of 380 concrete samples were tested for properties including bulk density, compressive strength, initial modulus of elasticity, and water absorption. Following parameters were used for the study: Curing Type: The samples were either dry-cured in open air or wet-cured by placing them in a tank of water.Plasticizer: Plasticizer was used in the concrete mix for preparing some of the samples.Fine Aggregate...

Course Code   :  BUSI650
Course Title   :  Business Analytics
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Task Idea The idea of this project is to familiarize MBA candidates with their choice of industry and area of expertise with the help of analytics. The project allows the opportunity to learn about trends and patterns in various facets of industry domains as well as fields of interest (Finance, Marketing and so on). Expectations Candidates will be expected to use data to identify the problems or trends and patterns in their area of interest. ...

Course Code   :  161101
Course Title   :  statistics for business
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Question 1Q1 Consider again the situation described in Assignment  Question 5: from a random sample of 60 motorists during a particular week, 9 had purchased diesel. The owner wants to test whether this gives evidence to contradict his belief that 10% of customers use diesel.   (a) State, in words and in symbols, the hypotheses to be tested. [2] (b) What is the p-value? [1] (c) Is there evidence to reject the null ...

Course Code   :  BUSI1013
Course Title   :  Statistics for Business
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InstructionsIn the event of an emergency preventing you from submitting within this time frame, special permission must be obtained from your instructor. Documentation substantiating emergency is required.In such a circumstance, if the extension is granted, the professor will reopen the submission function for you on an individual basis.Please do not email your submissions to your professor, either before or after the due date; all coursewor...

Course Code   :  IMAT5238
Course Title   :  Data Mining Techniques and Applications
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ObjectivesObjectives: The aim of this activity is to get you to think how the data collected at a person’s place of employment could be used against them. -Have given some thought to the data that is naturally collected at a person’s place of employment. -Have had the opportunity to compare and discuss your opinions with peers in your discussion group. -Read Baker Stephen (2009). They’ve got your number…Data,...

Course Code   :  IE5002
Course Title   :  applied engineering statistics
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1. Understanding Importance Sampling and Its Properties1. Assume that the instrumental distribution g in importance sampling (with unstandardized weights) is chosen such that f(x) < M·g(x) for all x and a suitable M ? R, where f is the target distribution.   (a) Show that Varg(w?(X))< M ? 1.   (b) Show that Varg(w?(X)·h(X)) is finite, if Varf (h(x)) is finite.   2. Ass...

Course Code   :  DAT7002
Course Title   :  data visualisation and interpretation
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Assignment Task (LO 3 - 7)Assignment BriefAs part of the formal assessment for the programme you are required to submit a Data Visualisation and Interpretation assignment. Please refer to your Student Handbook for full details of the programme assessment scheme and general information on preparing and submitting assignments.   Learning Outcomes:After completing the module, you should be able to:1) Evaluate methods of data visuali...

Course Code   :  MATH239
Course Title   :  data analysis and presentation
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Assignment InstructionsAssignment Instructions: The course project allows you to utilize the skills that you have learned in the course to develop and present an analysis of a large data set. You will be required to include specific analyses in your report and present the results to your colleagues. There will be a focus on using technology throughout the project. Specific details of the course project: You may choose data from any sourc...

Course Code   :  BUS105
Course Title   :  Statistics
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Question During the Covid-19 pandemic, working from home has become the norm. Because of this, many households face an increasing monthly electricity bill. Mr. Tan is a research student at the Singapore University of Social Sciences, and his research focus is to examine the impact of Covid-19 on household electricity consumption. He hypothesised that the average monthly electricity bill in a household has increased more than $5 during the Covid...

Course Code   :  GRA65476
Course Title   :  research methodology in finance
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Importing Data and Dropping Unnecessary FeaturesGo to Yahoo Finance and download data on the following three stock market indices for the longest possible time period: S&P500, DAX30, and Nikkei225. Import the data into MATLAB. Since your main variable of interest is the “adjusted closing price” of each index, you can drop all other variables.After merging the data, you realize that all three time series ...

Course Code   :  CONL708
Course Title   :  machine learning
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In this task, you need to use Principal Component Analysis (PCA) to understand the characteristics of the datasets. Use Pandas to load both the training data set and the test set (1 mark). Show one scatter plot, that is, one feature against another feature on the training set. It is your choice to show which two features you want to use (2 marks). Normalise the training set and the test set using StandardScaler() (Hint: the para...

Course Code   :  MGQT6003
Course Title   :  modelling analysis for decision making in organisations
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Task 1Task 1 Analyse the key sources and flows of data that are collected, processed, stored and taken into account in the organisation’s decision-making process. Your analysis must include: A statement of all the current financial and non-financial data the organisation uses in its decision making; An analysis of data integrity and identified gaps; A map between business functions and data sources. Task 2 Based on the outc...

Course Code   :  BEMM463
Course Title   :  marketing analytics
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The Dominance of Intel in the Chip IndustryIntel has dominated the computer chip industry. Beginning with the iconic advertising campaign “Intel Inside,” the company has created a large market for powerful processors. This has allowed Intel to charge high prices to computer manufacturers (e.g., Dell, HP) who needed the best processor chips for personal computers and industrial mainframe servers to meet buyers’ expectations. A...

Course Code   :  BUS204
Course Title   :  business excellence
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A construction firm thinks that it is receiving 100 steel pipes with an average  tensile strength of 10,000 pounds per square inch(lbs p.s.i.).This is the mean,μ.The size of the sample was n=100.The firm also knows that the population standard deviation,sigma,σ,is 400 p.s.i.The firm chooses a confidence interval of 95 %.This is equivalent to a level of significance,α,of 5 %(.05),where the null hypothesis is H0:μ0=10,000 an...

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