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Solving Statistics Assignments Gets 10x Easier with Us Statistics
Course Code   :  PHAR552
Course Title   :  biostatistics and pharmacoepidemiology
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Medication Adherence and PersistenceQ1. Based on a data published by Barba and colleagues in Patient Preference and Adherence journal about Medication adherence and persistence in type 2 diabetes mellitus: perspectives of patients, physicians and pharmacists on the Spanish health care system.   Use or copy and paste this link in your browser to download the article:   a. Identify each variable listed in Table 2 of thi...

Course Code   :  STATS330
Course Title   :  Advanced Statistical Modelling
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Questions: Notes: (i) Write your assignment using R Markdown. Knit your report to either a Word or PDF document.   (ii) Create a section for each question. Include all relevant code and output in the final document.   (iii) Marks may be deducted for poor style. Please keep your code and plots neat.   (iv) Please remember to hand in your hard copy, with signed cover sheet, by the due date.   1. This question will us...

Course Code   :  STAT101
Course Title   :  Introduction To Statistics
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Use of the Normal Curve in Determining Normal Ranges(1). Statistical criteria are sometimes used for determining what is "normal" for the population. Often, when responses are normally distributed, the normal curve is used to determine the range of normal (and abnormal) responses. This is one reason why the curve is called the "normal" curve. Normal curve criteria are used for determining normal ranges for both medical testing and educational te...

Course Code   :  CI7340
Course Title   :  Applied Data Programming
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The COVID-19 pandemic and its impact on studying at universitiesWe all are no stranger to the COVID-19 pandemic, which has in recent months changed all the aspects of our life including studying at universities. Coronavirus disease 2019 (COVID?19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). First identified in December 2019 in Wuhan, Hubei, China, as of 25th September 2020, there are more th...

Course Code   :  MTH220
Course Title   :  statiscal method and inference
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Question 1: Commuting Time Probability A professor commutes daily from Clementi Station to his office. The avenge time for a one-way trip is 24 minutes. with a standard deviation of 3.8 minutes. Assume the distribution of trip times to be normally distributed.  (a) Compute the probability that a trip will take at least 0.5 hour. If the professor has to be in his office at 8.30 am and he leaves Clementi Station at 8.15 am daily. compute the...

Course Code   :  MDM4U
Course Title   :  Mathematics Of Data Management
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QuestionsThe Task The main focus of this project is for you to find/gather, organize, analyze and present data. You will be choosing a topic, designing and carrying out a statistical study. Your study will include relevant descriptive statistics that you have learned about in this course. Your final project will consist of three parts – a proposal, a written report and a video recorded presentation which you will upload to YouTube...

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Legal Requirements for Pet Ownership in South AfricaThis is a case study on animal protection act 1962,many homes in South Africa keep dogs as pets. However, rules and regulations should be observed as stipulated by the animal protection act of 1962 (Buys 2020, p.91). For instance, any person rearing a dog but does not follow the set actions and its bylaws are deemed to getting a penalty of about R4000 (Nieman et al. 2019). Otherwise, such...

Course Code   :  STAT101
Course Title   :  Introduction to Statistics
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Question 1: Normal Linear Regression Model for 'FoodExpenditure' Data1. Consider the “FoodExpenditure” data built into R. It is available within the betareg package and can be brought into your workspace using the command: data ("FoodExpenditure”, package="betareg") After applying this command, you should be able to access the data under the name “Food- Expenditure”. (The data have also been posted as a text...

Course Code   :  SCS5043
Course Title   :  summary of notational analysis
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Questions: Introduction• When anticipating an opponent’s intentions in fast ball sports, expert performers are thought to initially rely on contextual information (e.g., player positioning,shot sequencing) with relevant postural cues becoming available closer to the moment of the opponent’s racket-ball contact (Müller & Abernethy, 2012).• Research is therefore required which examines the cognitive mechanisms underp...

Course Code   :  106N1
Course Title   :  research methods
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Subject of assignmentSubject of assignment: Quantitative Data Analysis. Details are attached of a management research commission involving the analysis of quantitative data. The data set is available on the module’s Canvas web-page. The required data set is available in IBM SPSS format, with the file name “Southlands Components”. You are required to submit a report answering all of the various questions (i.e. all parts of Q...

Course Code   :  GEOG 2251
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Steps of quantitative research processSteps of quantitative research process Problem identification. This involves identifying a research problem and developing research questions. Literature review. Once the problem is identified, the research learns about the topic under investigation. This is done in order to provide foundational knowledge in the topic. Clarity of the problem. Often the identified problem is broad. Once existing literatu...

Course Code   :  CID1344
Course Title   :  business intelligence data analytics
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Question 1Question 11.Which of the following is the best example of a data mining application?    a.    An MIT professor proved a mathematic theorem that can help predict stock prices.    b.    The Internal Revenue Service used a software system, built based on the historical records, to identity fraudulent tax returns.    c.    Using Google, a retired mailman found his long lost high...

Course Code   :  MRT481
Course Title   :  data mining for marketing
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ScenarioYour company, the maker of StackBook laptops (you may remember this scenario from MRT285), is interested in understanding customer loss and retention. The supplied file is a list of almost 22,000 customers spanning eight years’ worth of activity, containing information about their purchase history. Each record represents the purchase history for one customer, including the number of purchases and the dates of the first and last p...

Course Code   :  LT5085
Course Title   :  skills methods and analysis
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Task 1: Research Topic MindmapTask 1: Research topic mindmapYou are required to choose a topic for the research project, that you will deliver via this portfolio.The topic should be related to your study subject, an outcome of brainstorming and consideration of areas that you are interested in. Use online tools (e.g. free software GoConqr) to create a mindmap of the subject-specific areas that interests you and logically navigate to the specif...

Course Code   :  MTH220
Course Title   :  statiscal method and inference
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Question 11 (a) A study was conducted to analyse the relationship between mathematical ability and musical ability for a group of 10 lower-primary school students. The data is shown in Table Q1(a). (i) Sketch the scatterplot and present your observation. (ii) Analyse and compute the Pearson correlation coefficient.(iii) Assuming a linear relationship with music score as the dependant variable, determine the least square linear regression l...

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