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Solving Statistics Assignments Gets 10x Easier with Us Statistics
Course Code   :  MATH 365
Course Title   :  structure of mathematics
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The Language and Terminology1. Consider the following is data on the 9-month salary of mathematics faculty members (to the nearest thousand dollars) in the year 1999-00: 61 63 72 80 70 76 97 60 57 65 67 73 66 75 61 54 61 65 70 68 53 50 50 40 51 44 62 57 51 52 50 57 52 52 56 46 Use class width = 10K. Complete the following frequency table: Class 39.5 − 49.5 49.5 − 59.5 59.5 − 69.5 69.5 − 79.5 79.5 − 89.5 89...

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Question: The learning outcomes that are assessed by this coursework are: 1. Identify the required components of a BI system by systematic analysis of a perceived problem area, appraisal of available techniques and tools, and the critical evaluation of developed systems. 2. Conceptual understanding of a range of predictive analysis techniques, critically evaluating current research and new insights. 3. Design appropriate BI systems using ap...

Course Code   :  MKT 5410
Course Title   :  marketing management
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Purpose of the ProjectThe purpose of this project is to identify customer perceptions of Starbucks. In particular, the purpose is to assess customer satisfaction with Starbucks and make recommendations to the company. Specifically, the key research objectives of this project are: Determining customer perceptions of Starbucks in the following areas: 1.Food and beverages 2.Atmosphere and services Using appropriate analysis to: 1. Examine i...

Course Code   :  MATH 365
Course Title   :  structure of mathematics
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The Language and Terminology1. Consider the following is data on the 9-month salary of mathematics faculty members (to the nearest thousand dollars) in the year 1999-00: 61 63 72 80 70 76 97 60 57 65 67 73 66 75 61 54 61 65 70 68 53 50 50 40 51 44 62 57 51 52 50 57 52 52 56 46 Use class width = 10K. Complete the following frequency table: Class 39.5 − 49.5 49.5 − 59.5 59.5 − 69.5 69.5 − 79.5 79.5 − 89.5 89...

Course Code   :  CMDA2005
Course Title   :  integrated quantitative science
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Problem 1Problem 1 (12 pts) – R is required. Consider the data in exam_data_SP20.csv. Load in this data using the read.csv() function using the proper path to the file. The data concerns fruit flies. The variables are thorax which is a measurement of thorax length, longevity the lifetime of the fly in days, and activity which describes the activity group for the fly. The groups are: isolated = fly kept solitary, one = fly kept with one ...

Course Code   :  BUAD 283
Course Title   :  mis
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Question 1: Blizzard RobotsBUAD 283: Excel Solver Assignment In this assignment, you are asked to solve three optimization problems using Excel Solver. To get started, open a new Excel workbook and prepare three worksheets, naming the tabs Question 1, Question 2, Question 3. Question 1: Blizzard Robots Blizzard Robots Inc. has a production issue. Fortunately, with high demand for their products, they can sell whatever they manufacture. Still, th...

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Question: This coursework will count for 10% of the total marks for the course, and half of the total assessed coursework marks for the course. Learning outcome assessed · Be able to perform open-ended exploratory analysis of data, and master the analytical presentation and critical evaluation of the results of statistical analyses. · Be able to demonstrate practical experience of using standard graph visualisation methods and...

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Shape of Distribution1 Part I: Birth weight of African elephants born in captivity Dale (2010) investigated various characteristics of newborn African elephants born in captivity. Here we will look at the birth weight of 30 female African elephants. The file s2040DE_W20_birthweight contains the birth weight (kg) of these elephants. You must import this data into R to carry out the analysis.For your write-up to be complete, you must:• Plot a...

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Learning Objectives 1) Select technology components and current practices related to information systems in organizations (MBA LG 5). 2) Explore and apply data-mining techniques in a real-world setting. This project is an INDIVIDUAL project.  Everyone must turn in their own project. Please do your own work.    Deliverables - Your association rules and their associated statistical evaluations in the form of a...

Course Code   :  204
Course Title   :  Health Information Management
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Excel Template for Tracking PHI Disclosure RequestsYou have been asked by the Privacy Officer of your facility to develop a tracking tool for logging requests for and disclosure of personal health information [PHI) by release of information [ROI] staff. Please create a tool in Excel and write a report describing the process of developing such a system. Your report shou ld include: 1. A introduction explaining the importance of privacy and co nfi...

Course Code   :  BUSI3007 |#| business research methods
Course Title   :  business research methods
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Question 1Before Beginning This Assignment, Please Be Sure To Read The Document Entitled “General Assignment Guidelines”. All References To Page Numbers, Equations, And Tables Are To The 5th Edition Of Dougherty. All Tests Should Be Conducted At The 5% Significance Level, Unless Specified Otherwise. 1. a) Suppose that the true linear regression model in a given situation is Now, assume that the researcher mistakenly believes that the...

Course Code   :  ECON1064
Course Title   :  quantitative analysis
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Significance of the Australian Agriculture, Forestry and Fishing Support Services Industry to the Australian Economya) The significance of the Australian Agriculture, Forestry and Fishing Support Services industryto the Australian economy in general (note: only a discussion similar to Section 2 (including Table1) of the KPMG report is expected). b) Discuss the challengesthe Australian Agriculture, Forestry and Fishing Support Servicesindustr...

Course Code   :  CEMK1150 |#| marketing
Course Title   :  marketing
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Data and MethodologyQuestion 1Consider a regression of the price of a house (price) on its surface measured by the square feet (sqft) using the dataset br.rdata. Exclude the last 10 observations of the dataset and save them for an out-of-sample study. The observations that are retained form the in-sample data.1. Produce a scatter plot of the two variables. Discuss your findings. Hint: There is no need to sort the original data. 2. Estimate the...

Course Code   :  MMPA507
Course Title   :  fundamentals of statistics
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Data Preparation1. Inspect the data sets you have.  Choose an appropriate year (or set of years to average over) that will give you many observations for both data sets.  You will see my example data are cross-country population per square km and vehicles per 1000 people figures.  The raw data for vehicle density is only available from 2002 to 2007.  I took an average of the figures available across the years for each count...

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A dataset of text is provided on Canvas. Analyse this data using the WEKA toolkit and tools introduced within this module. You should attempt the following tasks:   1. Look at the individual texts and the target classes using a text editor, and try to find 5 keywords that you believe are indicative of one target class and 5 keywords of the other – this step should be done manually, not using WEKA. Explain why you have chosen t...

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