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​HOMEWORK OF Probability and Statistical Model (MAKE SURE YOU GO THROUGH THE ASSIGNMENT BEFORE BIDDING)

​HOMEWORK OF Probability and Statistical Model (MAKE SURE YOU GO THROUGH THE ASSIGNMENT BEFORE BIDDING)


PLEASE DO OPEN THE ATTACHMENT TO SEE WHETHER YOU ARE ABLE TO COMPLETE THIS, IF IT IS TOO HARD FOR YOU, DO NOT BID.HOMEWORK OF Probability and Statistical ModelThe homework assignment is uploaded as pdf, please complete all parts of each questions and show the detailed process as well as the answers.This assignment requires knowledge about calculus and algebra, which topics include but not limited to the following:axioms of probability, probability distribution, functions of random variables, random samples, skewness and kurtosis, binomial distribution,multivariate distributions, sampling a normal distribution, estimation, confidence intervals, hypothesis testing

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Assignment – Library System For Software Engineering

Assignment – Library System For Software Engineering


Need to complete the below attached assignments. Suppose that you are required to document a library system, particularly focusing on the functionality at
the back end. The scope the system’s back end is defined as follows:
• You should include all system functions and data, such as borrowing items, accessing both physical
and electronic items, renewing loans, viewing a borrower’s account (including overdue items and
fines), searching catalogues for various items, renewing loans, login, and asking a librarian. Note
that this list is not exhaustive.
• Some functionality (such as book rooms, access databases, borrow ebooks) is provided by
applications integrated with the UNI library system. As such, you will need to show that the
functionality is captured, but that no structural data is retained in this system.
• Front-end content, such as ‘getting started in the library’, information pages (with static HTML
content), the ‘About’ section, reference guides, and general information, is out of scope, and thus
is not required to be included in your work.
Some specific functionality is not necessarily apparent from public or student views, but should be
included:
• An ITS officer uploads a list of lists of active borrowers each year. The list contains staff, student
and ‘others’. On this list:
a. staff have a staff ID, barcode, name, DOB, and department
b. students have a student ID, barcode, name, DOB and department
c. others have a borrower ID, name, DOB, address & license number
• The uploaded list is compared to existing borrowers by the system. If a person have left the
university, his/her account will be removed if they have no unpaid fines. Otherwise, their
borrower status is changed to inactive, and their record is retained. A new borrower account is
created for a new person on the list
• Librarians can also add borrowers. They create a borrower account with a name, DOB, and an
expiry date.
• If borrowers do not have a card with a barcode (such as those that are just created by the
librarian), their borrowing status is pending until they collect a library borrowing card from the
library.
• If a borrower is late in returning items, a fine occurs. When a borrower has a fine exceeding $25,
they can no longer renew or borrow any items until the fine is paid. Library fines must be paid in
person to a librarian, who will then mark the fine as paid in the system and issue a receipt.
• Librarians can view any record in the system – catalogue items, borrower records, etc. They can
search for a record or scan a barcode (of an item or borrower) to view the data.
• A borrower’s status can either active, inactive, pending, temporary, or suspended.
• Staff may request the library to place items used by their course on ‘reserve’ or ‘restricted
borrowing’. Staff may also submit past exam papers to the library.
• The head librarian generates reports based on item usage, borrowing rates, and library usage by
department type (staff and student).
You are required to play the role as a technical business analyst, analyzing the library system and creating
diagrams as requested in the questions that follow. Note you are not modelling a website using
storyboards, site-maps etc., but rather the back-end behavioural and structural needs of the system.

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Help me solve 5 math problems about derivatives, antiderivatives and integrals.

Help me solve 5 math problems about derivatives, antiderivatives and integrals.


Log in to my account on webwork. I will give you my account informations and campus’ vpn. Please help me solve these 5 questions.

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Physics Pre Lab

Physics Pre Lab


Solve the Physics Pre Lab Questions with steps given in the file.Type your accurate answers in doc instead of hand written answers .Must be done within the time frame or you won’t be bested.Thank you!!!

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Research Proposal for Master in University of Malaya Media #Production major

Research Proposal for Master in University of Malaya Media #Production major


Hi I am applying master in media production major, I have attached the screen shot of the reseach proposal writting page. The two links from the page “click” below, even thou I do not think it will help.http://ips.um.edu.my/?pfct=ips&modul=International…https://umexpert.um.edu.my/cv_search_page.phpI like boardcasting, news production etc..Please let me know if any of you are intended to write a good research proposal. 1000 -2000 words.

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Communication

Communication


In the first two units, you have identified aspects of effective communication and contemplated strategies for solving a problem in your community or workplace. Consider the following situations:A casual conversation with a friend about the need for sidewalks in your neighborhood so kids can get to school safelyAn email to your boss proposing a new safety procedureAn academic persuasive essay about your community’s need for a free spay/neuter programIn all of these situations, you need to choose the most effective tone, voice, and style for your situation and audience in order to persuade others to agree with you.In this unit’s Assignment, you will be creating a plan for success to improve your writing in personal, professional, and academic situations like those described above and proposing a topic that you can write about for the rest of the term.The first paragraph should identify at least three aspects of your writing you wish to improve and answer the following questions: How have these issues, whether related to grammar, style, tone, or process, affected your ability to communicate effectively in the past? How do you plan to work on these issues?In the second paragraph, describe a problem in your community or workplace that you would like to explore and solve in the upcoming units. What challenges might you face in solving this problem and writing a persuasive essay about it?Noted below are the specific requirements for your Unit 2 Assignment:Title page in APA manuscript formatAPA manuscript format throughout (e.g., 12-point font, double spacing, and 1-inch margins)At least two unified and well-developed paragraphs addressing the Assignment promptIf any references are made to sources, they are cited in APA 6th edition style both in-text and on a separate references pageSee the following WC resources for further guidance on APA manuscript formatting and APA citation formatting

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Write a report on Building and Evaluating Predictive Models using R. (Intro to Machine Learning)

Write a report on Building and Evaluating Predictive Models using R. (Intro to Machine Learning)


Files to be submitted: word document of the report and R script files.You may refer to the “Assignment1 – tasks.pdf” file in the attachments for list of tasks and instructions. Same content has been posted below.Objective:a) Demonstrate knowledge of data exploration and selection of variables to apply for the predictive modelsb) Demonstrate knowledge of building different types of predictive models using Rc) Demonstrate knowledge on comparing and evaluating different predictive modelsd) Relate theoretical knowledge of predictive models and best practices to application scenariosPart A – Data Exploration and CleaningUse the data for breakfast cereals (Cereals.csv) to answer the following1. Which variables are continuous/numerical? Which are ordinal? Which are nominal?2. Calculate following summary statistics: mean, median, max and standard deviation for each of the continuous variables, and count for each categorical variable. Is there any evidence of extreme values? Briefly discuss.3. Plot histograms for each of the continuous variables and create summary statistics. Based on the histogram and summary statistics answer the following and provide brief explanations:a. Which variables have the largest variability?b. Which variables seems skewed?c. Are there any values that seem extreme?4. Which, if any, of the variables have missing values?a. What are the methods of handling missing values?b. Demonstrate the output (summary statistics and transformation plot) for each method in (4-a).c. Apply the 3 methods of missing value handling discussed in the lectures. Which method of handling missing values is most suitable for this data set? Discuss briefly referring to the data set.Part B – Building predictive models using real world business caseBusiness CaseAlpha Traders Pty Ltd. is an Australian car sales company has purchased a stock of used Toyota Corolla cars for sale. The management of the Alpha is in the process of finalizing the selling prices of the purchased cars. Alpha Traders management is very keen to trial predictive modelling for this task and have obtained a historic car sales dataset of Toyota Corolla cars from a publicly available data repository.The dataset contains 37 attributes of over 1400 sold Toyota Corolla cars. The attributes include the selling price of cars, age, kilometres driven, fuel type, horsepower, automatic or manual, number of doors, weight (in pounds), etc.The management of Alpha Traders Pty Ltd. has outsourced the task to you to develop a reliable predictive model to predict the selling price of the cars, using the aforementioned historic dataset.1. Data Exploration and Cleaning (15%)a. Examine the prices of the Toyota Corolla vehicles. Explain the distribution of the prices.b. Find out whether there are any missing values. Explain your findings.c. Are there any categorical values that needs to be transformed into numerical values? Suggest the best possible transformation. Use this method to transform the variable(s).d. Evaluate the correlations between the variables. Which variables should be used for dimension reduction? Explain. Carry out dimensionality reduction.e. Explore the distribution of selected variables (from step 1-d) against the target variable. Explain.2. Regression Modelling (20%)a. Build a regression model with the selected variables. You need to try out at least 3 regression models to identify the optimal model.b. Evaluate the accuracy of the regression model.3. Decision Tree Modelling (20%)a. Build a decision tree with the selected variables. You need to try out at least 3 decision trees with different complexity parameters to obtain the optimal tree.b. Explain the output of the selected decision tree, evaluate the accuracy and reason for it to be selected.4. Model Comparison (15%)a. Compare the accuracy of the selected (optimal) regression model and (optimal) decision tree and discuss and justify the most suitable predictive model for the business case.

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Please keep post between 200-300 words thank you

Please keep post between 200-300 words thank you


This week we’ve introduced the central limit theorem. According to the central limit theorem, for all samples of the same size n with n>30, the sampling distribution of x can be approximated by a normal distribution. In your initial post use your own words to explain what this theorem means. Then provide a quick example to explain how this theorem might apply in real life. At last, please share with us your thoughts about why this theorem is important.

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Software engineering

Software engineering


Use case diagramYou should provide one use case diagram that includes all actors and use cases within scope. Your diagram must include a use case named ‘Pay Fine’, as documented in Task 2. Your diagram will be assessed based on:•Consistency with the scope including the specific functionality requested•Appropriate use of actors, includes/extends, and generalization• Appropriate use of UML notation

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Basics of Dependency

Basics of Dependency


6–9 pagesYou have been asked by your agency to write a report on screening and treating potential clients for addictions.Research screening tools and therapeutic interventions that are relevant to clients with particular characteristics such as gender, age, disabilities, culture, and physical handicaps.Present a perspective of your choosing.Explain how you believe these types of clients will benefit from the interventions you chose along with any potential drawbacks you may need to overcome.Conclude with how you will engage these clients in treatment from screening to the first therapeutic intervention.Your report should include the following:Title pageAbstractIntroduction to the characteristics you are presenting (1 page)Content questions answered (4–6 pages)Conclusion (1–2 pages)References, including at least 2 scholarly sources dated within the last year

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