MTH 115-01 Stats Name__________________
85 Possible Points Fall 2015
Part A: For problems 1 - 4, draw the necessary pictures so that I may follow your work. Label all z-scores and areas. Assume that we have a normal distribution with a. (5 pts each)
1. P(x < 75) = __________ 2. P(73 < x < 93) = __________
3. P(x <73 or x > 75) = __________ 4. P(x = 73) = ___________
Part B: Determine whether each statement is true or false.
If the statement is false, explain why. (15 points = 3pts each)
1. The total area under the normal distribution bell-shaped curve is infinite.
2. The standard normal distribution is a discrete distribution.
3. The z value corresponding to a number below the mean is always negative.
4. The area under the standard normal distribution to the left of z = 0 is negative.
5. For a standard normal probability distribution, the mean is always 1.
Part C: Work the following problems. Please show your work to receive full credit.
1. (15pts) 30 High school students were randomly selected and surveyed about the amounts of time they spend at after-school jobs. The mean and standard deviation were found to be 26 hours and 6 hours, respectively. Assume that the given statistics come from a normally distributed population.
a. Find the best point estimate of the population standard deviation.
b. Find a 95% confidence interval for the population standard deviation.
2. (10pts) You have just been hired by General Motors to tour the United States giving randomly selected drivers test rides in a new Corvette (yeah, right!). After giving the test drive, you must ask the rider whether he or she would consider buying a Corvette. How many riders must you survey (take for test rides) to be 90% confident that the sample proportion is off by no more than five percentage points?
3. (10pts) Of 2590 students randomly selected, 98% of them own computers. Construct a 99% confidence interval for the true proportion of all students who own computers.
4. (15pts) A food packing company fills sacks of cereal using automated machinery. The fill amounts are normally distributed with a mean weight of 2 pounds and a standard deviation of 0.20 pounds.
a) One sack is randomly selected. What is the probability that the weight of the sack exceeds 2.05 pounds?
b) Sixteen sacks are randomly selected. What is the probability that the mean weight of the sample of 16 sacks exceeds 2.05 pounds?
Page 1 of 3
75 and 10
ms
==
PainterStartup/.classpath
PainterStartup/.project
Painter
org.eclipse.jdt.core.javabuilder
org.eclipse.jdt.core.javanature
PainterStartup/.settings/org.eclipse.jdt.core.prefs
#Fri Apr 27 08:03:31 EDT 2012
eclipse.preferences.version=1
org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.6
org.eclipse.jdt.core.comp.
Deep Learning: Introduction & Chapter 5 Machine Learning BasicsJason Tsai
Given lecture for Deep Learning 101 study group with Frank Wu on Dec. 9th, 2016.
Reference: https://www.deeplearningbook.org/
Initiated by Taiwan AI Group (https://www.facebook.com/groups/Taiwan.AI.Group/)
This document discusses regression analysis and its application to predicting a Pokemon's combat power (CP) after evolution. It involves the following steps:
1. Modeling the problem as predicting a scalar output (CP) from input features like current CP, hit points, etc.
2. Choosing a function form like linear regression and calculating its "goodness" by minimizing the error between predicted and actual CP values on training data.
3. Using gradient descent to iteratively find the optimal parameters (weights and bias) that minimize the error function.
4. Testing more complex models but finding that simplicity is better to avoid overfitting, as more complex models had lower training error but worse testing error.
CIS 407 STUDY Inspiring Innovation--cis407study.comKeatonJennings91
This document contains information about various CIS 407 exams, labs, assignments, and case studies for an online course. It includes sample exam questions, lab exercise instructions, assignment descriptions, and a case study on creating bar charts in Java. The assignments involve building an interactive Java application for an insurance agent to generate quotes. Students are tasked with implementing classes, calculating premiums, getting user input, and modifying the application to use different input/output methods.
Problem 1 – First-Order Predicate Calculus (15 points)butest
This document contains a 10 page machine learning exam for a course at the University of Wisconsin - Madison. The exam consists of 6 problems testing various machine learning concepts such as Naive Bayes classification, decision tree induction, reinforcement learning, inductive logic programming, and more. It instructs students to write their answers on the exam pages and show their work.
Our fall 12-Week Data Science bootcamp starts on Sept 21st,2015. Apply now to get a spot!
If you are hiring Data Scientists, call us at (1)888-752-7585 or reach info@nycdatascience.com to share your openings and set up interviews with our excellent students.
---------------------------------------------------------------
Come join our meet-up and learn how easily you can use R for advanced Machine learning. In this meet-up, we will demonstrate how to understand and use Xgboost for Kaggle competition. Tong is in Canada and will do remote session with us through google hangout.
---------------------------------------------------------------
Speaker Bio:
Tong is a data scientist in Supstat Inc and also a master students of Data Mining. He has been an active R programmer and developer for 5 years. He is the author of the R package of XGBoost, one of the most popular and contest-winning tools on kaggle.com nowadays.
Pre-requisite(if any): R /Calculus
Preparation: A laptop with R installed. Windows users might need to have RTools installed as well.
Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution
Event arrangement:
6:45pm Doors open. Come early to network, grab a beer and settle in.
7:00-9:00pm XgBoost Demo
Reference:
https://github.com/dmlc/xgboost
1) The document discusses conformal predictions, a machine learning technique that provides calibrated predictions along with confidence levels or regions.
2) Conformal predictions work by dividing data into training and calibration sets, fitting a model on training data, and using the calibration set to estimate prediction confidence without assumptions about the data distribution.
3) The document outlines how conformal predictions are applied in classification and regression problems, providing algorithms to compute prediction regions at a given confidence level for new observations.
4) As an example application, the document shows how conformal predictors are used for a car insurance classification problem to determine the confidence of predictions while minimizing false positives.
This document describes 8 lab assessments for a Java programming course. Each assessment involves modifying provided Java code to complete a programming problem related to topics covered in the Java Genesis textbook. Students must demonstrate their solutions to a tutor by a certain deadline to receive credit. The assessments involve tasks such as drawing shapes, searching arrays, animating objects, and building GUI programs.
Problem 1 – First-Order Predicate Calculus (15 points)butest
This document contains a 10 page machine learning exam for a course at the University of Wisconsin - Madison. The exam consists of 6 problems testing knowledge of topics like Naive Bayes classification, decision trees, neural networks, reinforcement learning, inductive logic programming, and more. It provides training examples, diagrams and asks students to show calculations, describe algorithms, and discuss key concepts in machine learning.
Deep Learning: Introduction & Chapter 5 Machine Learning BasicsJason Tsai
Given lecture for Deep Learning 101 study group with Frank Wu on Dec. 9th, 2016.
Reference: https://www.deeplearningbook.org/
Initiated by Taiwan AI Group (https://www.facebook.com/groups/Taiwan.AI.Group/)
This document discusses regression analysis and its application to predicting a Pokemon's combat power (CP) after evolution. It involves the following steps:
1. Modeling the problem as predicting a scalar output (CP) from input features like current CP, hit points, etc.
2. Choosing a function form like linear regression and calculating its "goodness" by minimizing the error between predicted and actual CP values on training data.
3. Using gradient descent to iteratively find the optimal parameters (weights and bias) that minimize the error function.
4. Testing more complex models but finding that simplicity is better to avoid overfitting, as more complex models had lower training error but worse testing error.
CIS 407 STUDY Inspiring Innovation--cis407study.comKeatonJennings91
This document contains information about various CIS 407 exams, labs, assignments, and case studies for an online course. It includes sample exam questions, lab exercise instructions, assignment descriptions, and a case study on creating bar charts in Java. The assignments involve building an interactive Java application for an insurance agent to generate quotes. Students are tasked with implementing classes, calculating premiums, getting user input, and modifying the application to use different input/output methods.
Problem 1 – First-Order Predicate Calculus (15 points)butest
This document contains a 10 page machine learning exam for a course at the University of Wisconsin - Madison. The exam consists of 6 problems testing various machine learning concepts such as Naive Bayes classification, decision tree induction, reinforcement learning, inductive logic programming, and more. It instructs students to write their answers on the exam pages and show their work.
Our fall 12-Week Data Science bootcamp starts on Sept 21st,2015. Apply now to get a spot!
If you are hiring Data Scientists, call us at (1)888-752-7585 or reach info@nycdatascience.com to share your openings and set up interviews with our excellent students.
---------------------------------------------------------------
Come join our meet-up and learn how easily you can use R for advanced Machine learning. In this meet-up, we will demonstrate how to understand and use Xgboost for Kaggle competition. Tong is in Canada and will do remote session with us through google hangout.
---------------------------------------------------------------
Speaker Bio:
Tong is a data scientist in Supstat Inc and also a master students of Data Mining. He has been an active R programmer and developer for 5 years. He is the author of the R package of XGBoost, one of the most popular and contest-winning tools on kaggle.com nowadays.
Pre-requisite(if any): R /Calculus
Preparation: A laptop with R installed. Windows users might need to have RTools installed as well.
Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution
Event arrangement:
6:45pm Doors open. Come early to network, grab a beer and settle in.
7:00-9:00pm XgBoost Demo
Reference:
https://github.com/dmlc/xgboost
1) The document discusses conformal predictions, a machine learning technique that provides calibrated predictions along with confidence levels or regions.
2) Conformal predictions work by dividing data into training and calibration sets, fitting a model on training data, and using the calibration set to estimate prediction confidence without assumptions about the data distribution.
3) The document outlines how conformal predictions are applied in classification and regression problems, providing algorithms to compute prediction regions at a given confidence level for new observations.
4) As an example application, the document shows how conformal predictors are used for a car insurance classification problem to determine the confidence of predictions while minimizing false positives.
This document describes 8 lab assessments for a Java programming course. Each assessment involves modifying provided Java code to complete a programming problem related to topics covered in the Java Genesis textbook. Students must demonstrate their solutions to a tutor by a certain deadline to receive credit. The assessments involve tasks such as drawing shapes, searching arrays, animating objects, and building GUI programs.
Problem 1 – First-Order Predicate Calculus (15 points)butest
This document contains a 10 page machine learning exam for a course at the University of Wisconsin - Madison. The exam consists of 6 problems testing knowledge of topics like Naive Bayes classification, decision trees, neural networks, reinforcement learning, inductive logic programming, and more. It provides training examples, diagrams and asks students to show calculations, describe algorithms, and discuss key concepts in machine learning.
Pro Java Fx – Developing Enterprise ApplicationsStephen Chin
This document summarizes Stephen Chin's presentation on Pro JavaFX - Developing Enterprise Applications. It discusses JFXtras layouts and controls, automated JavaFX testing, sample enterprise applications using JavaFX, and calling REST and SOAP services from JavaFX. It also advertises a JavaFXpert RIA exemplar challenge and provides information on learning JavaFX.
This document discusses techniques for testing software in difficult environments, including:
1. Refactoring code into testable components and using mocking to replace dependencies that are hard to control, like network connections.
2. Setting up test databases in memory to isolate tests from the production database.
3. Using mocking frameworks to create fake objects, classes, and modules that replace real dependencies and allow tests to run independently.
4. An example shows mocking smtplib to test email sending without actually sending emails.
I am Wycliffe S. I am a Python Homework Expert at pythonhomeworkhelp.com. I hold a Master's in Computer Science from, the University of Aberdeen, UK. I have been helping students with their homework for the past 13 years. I solve homework related to Python.
Visit pythonhomeworkhelp.com or email support@pythonhomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with Python Homework.
The document summarizes information about program repair and semantic repair. It discusses how most software has bugs that are often not fixed for months after being reported. It then describes reasons for program repair including generating patches as better bug reports and automating simple one-line fixes. It notes challenges with repair like weak test cases and large search spaces. It proposes using specifications, dynamic invariants, or test-driven repair as correctness criteria. It characterizes general purpose repair using generate-and-test or specification inference and discusses associated technical challenges. Finally, it discusses interactive and semantics-based repair.
Logistic regression is a machine learning classification algorithm used to predict the probability of a categorical dependent variable given one or more independent variables. It uses a logit link function to transform the probability values into odds ratios between 0 and infinity. The model is trained by minimizing a cost function called logistic loss using gradient descent optimization. Model performance is evaluated using metrics like accuracy, precision, recall, and the confusion matrix, and can be optimized by adjusting the probability threshold for classifications.
Tong is a data scientist in Supstat Inc and also a master students of Data Mining. He has been an active R programmer and developer for 5 years. He is the author of the R package of XGBoost, one of the most popular and contest-winning tools on kaggle.com nowadays.
Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution
Aiming at complete code coverage by unit tests tends to be cumbersome, especially for cases where external API calls a part of the code base. For these reasons, Python comes with the unittest.mock library, appearing to be a powerful companion in replacing parts of the system under test.
This document discusses building machine learning models to classify flower species using a dataset with 4 numeric attributes for each flower. It provides code to load and explore the data, build and evaluate several classification models including logistic regression, decision trees, and random forests. The best performing model is random forest with an accuracy of 87% on the test set, beating the baseline accuracy of 33%. Feature importance is examined using gini impurity, finding petal attributes are more predictive than sepal attributes.
This document provides an introduction to algorithms and their design and analysis. It discusses what algorithms are, their key characteristics, and the steps to develop an algorithm to solve a problem. These steps include defining the problem, developing a model, specifying and designing the algorithm, checking correctness, analyzing efficiency, implementing, testing, and documenting. Common algorithm design techniques like top-down design and recursion are explained. Factors that impact algorithm efficiency like use of loops, initial conditions, invariants, and termination conditions are covered. Finally, common control structures for algorithms like if/else, loops, and branching are defined.
https://telecombcn-dl.github.io/2018-dlai/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.
The document discusses various techniques for curve fitting data, including interpolation, linear regression, and higher-order polynomial fitting. It begins by explaining the motivation for curve fitting as creating a single function to represent trends in observed data. Linear regression finds the best-fit straight line by minimizing the squared errors between data points and the line. Higher-order polynomials allow fitting nonlinear trends by finding coefficients for polynomial functions up to a given order, such as quadratic, that also minimize the squared errors.
This document provides an overview of machine learning concepts and code examples in Python. It discusses the typical 5 steps of machine learning projects: collaboration, data collection, clustering, classification, and conclusion. Code snippets demonstrate each step, including collecting data with Scrapy, clustering with k-means, classification with support vector machines, and evaluating results with a confusion matrix. Dimensionality reduction techniques like principal component analysis are also covered.
Question 1 1 pts Skip to question text.As part of a bank account.docxamrit47
Question 1 1 pts Skip to question text.
As part of a bank account implementation, there is an account class and a checking account class. These two classes should be related by:
polymorphism
abstract classes
both composition and inheritance
inheritance
composition
Flag this Question
Question 2 1 pts
When using OOP, which of the following terms refers to a mechanism for a behavior, basically how it’s implemented?
composition
inheritance
polymorphism
dynamic binding
Flag this Question
Question 3 1 pts
To access an element in an Array object,
Use the ArrayList's get() method.
Use the ArrayList's element() method.
Individual elements in an ArrayList can’t be accessed without doing a sequential query getSequential(), returning every element up to and including the element requested.
Use square brackets around an index value.
Flag this Question
Question 4 1 pts
To access an element in an ArrayList object,
Use square brackets around an index value.
Use the ArrayList element() method.
Use the ArrayList get() method.
Individual elements in an ArrayList can’t be accessed without doing a sequential query getSequential(), returning every element up to and including the element requested.
Flag this Question
Question 5 1 pts
What term below is defined as a message that tells the program that something has happened?
an interaction
a listener
an action
an event
Flag this Question
Question 6 1 pts
Which item below is defined as an object?
A String
An Array
All of the above
An ArrayList
Flag this Question
Question 7 1 pts
When a text-box-enter event occurs, which method and parameter are required to handle this type of action? (1 point)
actionEvent with an actionperformed parameter
actionListener with an interfaceID parameter
windowListener with an eventID parameter
actionPerformed with an actionEvent parameter
Flag this Question
Question 8 1 pts
Which class includes the setTitle and setSize methods?
JFrame
JWindow
JBox
JOptionpane
Flag this Question
Question 9 1 pts
Before utilizing the binary search method, __________ must be done to the array?
indexing
splitting
sorting
importing
Flag this Question
Question 10 1 pts
Which layout manager implements a one-compartment layout scheme?
GridlessLayout
GridBagLayout
GridLayout
FlowLayout
BorderLayout
Flag this Question
Question 11 1 pts
What is the default layout manager for a JFrame window?
GridBagLayout
GridLayout
FlowLayout
GridlessLayout
BorderLayout
Flag this Question
Question 12 1 pts
To call the superclass constructor, super() must be the first line in a constructor.
True
False
Flag this Question
Question 13 1 pts
Method overriding is when a method has the same name, same sequence of parameter types, and the same return type as a method in a superclass.
True
False
Flag this Question
Question 14 1 pts
Type casting, also known as promotion is ...
This document discusses various ensemble machine learning algorithms including bagging, boosting, and random forests. It explains that ensemble approaches average the predictions of multiple models to improve performance over a single model. Bagging trains models on random subsets of data and averages predictions. Random forests build on bagging by using random subsets of features to de-correlate trees. Boosting iteratively trains weak learners on weighted versions of the data that focus on previously misclassified examples. The document provides examples and comparisons of these ensemble techniques.
The document describes the author's approach to building a machine learning pipeline for a Kaggle competition to predict product categories from tabular data. The pipeline includes: 1) Loading and processing the training, testing, and submission data, 2) Performing cross-validated model training and evaluation using algorithms like XGBoost, LightGBM and CatBoost, 3) Averaging the results to generate final predictions and create a submission file. The author aims to share details of algorithms, hardware performance, and results in subsequent blog posts.
The document describes using univariate and multivariate Gaussian models for anomaly detection on aircraft test data, where the test data has two features of engine heat and vibration and the training data consists of 10 normal aircraft examples. It shows calculating probabilities for a new test point using each model and determining if the test point is anomalous based on a threshold. It also prompts practicing the same process with 3-4 features instead of two.
Monte Carlo simulation is a computerized mathematical technique to
generate random sample data based on some known distribution for
numerical experiments.
• The Law of large numbers ensures that the relative frequency of
occurrence of a possible result of a random variable converges to the
theoretical or expected outcome as the number of experiments
increases.
• The essence of Monte Carlo simulation is to sample random variables
significant number of times so that the relative frequency converges to
the theoretical probability with greatest reliability
Assessing Model Performance - Beginner's GuideMegan Verbakel
A binary classifier predicts outcomes that are either 0 or 1. It is trained on historical data containing features and targets, and learns patterns to predict probabilities of each class for new data. Performance is evaluated using metrics like accuracy, precision, recall from a confusion matrix, and ROC AUC. The bias-variance tradeoff and over/under fitting are minimized by optimizing model complexity during training and testing.
Introduction to Machine Learning for newcomers. It will show you some basic concepts like what is supervised learning, unsupervised learning, classification, regression, under/overfitting, clustering, anomaly detection, and how to have some measures. It will illustrates examples through scikit-learn and tensorflow code
Young Adulthood begins with the individual being on the verge of att.docxrosemarybdodson23141
Young Adulthood begins with the individual being on the verge of attaining several major life tasks. By the end of the Young Adulthood period, the individual should have successfully attained:
Work
: Higher Education, Obtaining a Job, Developing a sense of work ethic and your place in the workforce
Independent Living
: Dorm-life, Find an apartment, buy a home, merge finances with marriage, support spouse and children
Marriage
: Form intimate relationships, make a commitment, find a life-partner
Child Rearing
: bearing and raising children
What happens to the development of the Young Adult if these life tasks are not attained? Include a discussion of how development will be affected by not attaining these life tasks with respect to the developmental theorists discusses in your class notes and text (K.Warner Schae, Erikson, Levinson and Sternberg). Also, include a discussion of current economic or societal reasons as to why Young Adults may not be achieving these life tasks? Use APA citations for all resources used; including your course text.
3 pages
.
Your abilities in international management have been recognize.docxrosemarybdodson23141
Your abilities in international management have been recognized, and your consulting assistance has been requested. The company Quasimoto Enterprises has been approached by a reputed Chinese firm that wants exclusive production and selling rights for one of its new high-tech products. The company has been looking for a strategic partner for the production of this product to reduce costs. Hence, Quasimoto Enterprises is very interested in exploring the possibility of developing relationships with this Chinese firm. This deal is very critical to growth of Quasimoto in the international market. Both parties are anxious and preparing for their first meeting in a month’s time to move this deal forward. This is the first time Quasimoto is doing business with China, and this is also the case with the Chinese firm.
The bold question below is my part of the project That i need you to complete. It has to be 5 double space written pages plus reference page Disregard the other two question and, its not my responsibility. I just added it to the email for you to have a full understanding of the what assignment is.
What does Quasimoto Enterprises need to know about Chinese bargaining behaviors to strike the best possible deal with this company? What should the Chinese firm know about American bargaining behaviors to strike the best possible deal with your company?
In your small group, develop a strategic plan for the negotiation and conflict resolution for Quasimoto's executive team for its first meeting with the Chinese. Also, develop a negotiation and conflict resolution plan for the Chinese firm for its first meeting with the Americans. Please note that because this is an important business deal for both companies, both of your plans should include the bargaining behaviors of both countries. Are there any similarities between their bargaining behaviors? Can they have a win-win deal?
APA format is mandatory (in text and in the reference section).
There are two main types of databases accessible in the library, through “FIND ARTICLES & BOOKS.” Keep in mind that the most popular databases are: ABI Inform Global, Academic Search Premier, and Business Source Premier. As a student, you must steer away from inferior Web sites with anonymous writers, articles found on consultant Web sites, materials on sites like QuickMBA.com, MarketingProfs.com, etc. Dictionaries and Encyclopedias most often repeat the information from your text. Acceptable Internet resources include among others government sites (especially for statistics). You are not permitted to use any open-source Web site in this course.
Present your findings as a 5 -7 pages Word document formatted in APA style.
Submitting your assignment in APA format means, at a minimum, you will need the following:
1. TITLE PAGE. Remember the Running head: AND TITLE IN ALL CAPITALS
2. ABSTRACT. A summary of your paper…not an introduction. Begin writing in third person voice.
3. BODY. The body of your paper begins on t.
More Related Content
Similar to MTH 115-01 StatsName__________________85 Possible Points.docx
Pro Java Fx – Developing Enterprise ApplicationsStephen Chin
This document summarizes Stephen Chin's presentation on Pro JavaFX - Developing Enterprise Applications. It discusses JFXtras layouts and controls, automated JavaFX testing, sample enterprise applications using JavaFX, and calling REST and SOAP services from JavaFX. It also advertises a JavaFXpert RIA exemplar challenge and provides information on learning JavaFX.
This document discusses techniques for testing software in difficult environments, including:
1. Refactoring code into testable components and using mocking to replace dependencies that are hard to control, like network connections.
2. Setting up test databases in memory to isolate tests from the production database.
3. Using mocking frameworks to create fake objects, classes, and modules that replace real dependencies and allow tests to run independently.
4. An example shows mocking smtplib to test email sending without actually sending emails.
I am Wycliffe S. I am a Python Homework Expert at pythonhomeworkhelp.com. I hold a Master's in Computer Science from, the University of Aberdeen, UK. I have been helping students with their homework for the past 13 years. I solve homework related to Python.
Visit pythonhomeworkhelp.com or email support@pythonhomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with Python Homework.
The document summarizes information about program repair and semantic repair. It discusses how most software has bugs that are often not fixed for months after being reported. It then describes reasons for program repair including generating patches as better bug reports and automating simple one-line fixes. It notes challenges with repair like weak test cases and large search spaces. It proposes using specifications, dynamic invariants, or test-driven repair as correctness criteria. It characterizes general purpose repair using generate-and-test or specification inference and discusses associated technical challenges. Finally, it discusses interactive and semantics-based repair.
Logistic regression is a machine learning classification algorithm used to predict the probability of a categorical dependent variable given one or more independent variables. It uses a logit link function to transform the probability values into odds ratios between 0 and infinity. The model is trained by minimizing a cost function called logistic loss using gradient descent optimization. Model performance is evaluated using metrics like accuracy, precision, recall, and the confusion matrix, and can be optimized by adjusting the probability threshold for classifications.
Tong is a data scientist in Supstat Inc and also a master students of Data Mining. He has been an active R programmer and developer for 5 years. He is the author of the R package of XGBoost, one of the most popular and contest-winning tools on kaggle.com nowadays.
Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution
Aiming at complete code coverage by unit tests tends to be cumbersome, especially for cases where external API calls a part of the code base. For these reasons, Python comes with the unittest.mock library, appearing to be a powerful companion in replacing parts of the system under test.
This document discusses building machine learning models to classify flower species using a dataset with 4 numeric attributes for each flower. It provides code to load and explore the data, build and evaluate several classification models including logistic regression, decision trees, and random forests. The best performing model is random forest with an accuracy of 87% on the test set, beating the baseline accuracy of 33%. Feature importance is examined using gini impurity, finding petal attributes are more predictive than sepal attributes.
This document provides an introduction to algorithms and their design and analysis. It discusses what algorithms are, their key characteristics, and the steps to develop an algorithm to solve a problem. These steps include defining the problem, developing a model, specifying and designing the algorithm, checking correctness, analyzing efficiency, implementing, testing, and documenting. Common algorithm design techniques like top-down design and recursion are explained. Factors that impact algorithm efficiency like use of loops, initial conditions, invariants, and termination conditions are covered. Finally, common control structures for algorithms like if/else, loops, and branching are defined.
https://telecombcn-dl.github.io/2018-dlai/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.
The document discusses various techniques for curve fitting data, including interpolation, linear regression, and higher-order polynomial fitting. It begins by explaining the motivation for curve fitting as creating a single function to represent trends in observed data. Linear regression finds the best-fit straight line by minimizing the squared errors between data points and the line. Higher-order polynomials allow fitting nonlinear trends by finding coefficients for polynomial functions up to a given order, such as quadratic, that also minimize the squared errors.
This document provides an overview of machine learning concepts and code examples in Python. It discusses the typical 5 steps of machine learning projects: collaboration, data collection, clustering, classification, and conclusion. Code snippets demonstrate each step, including collecting data with Scrapy, clustering with k-means, classification with support vector machines, and evaluating results with a confusion matrix. Dimensionality reduction techniques like principal component analysis are also covered.
Question 1 1 pts Skip to question text.As part of a bank account.docxamrit47
Question 1 1 pts Skip to question text.
As part of a bank account implementation, there is an account class and a checking account class. These two classes should be related by:
polymorphism
abstract classes
both composition and inheritance
inheritance
composition
Flag this Question
Question 2 1 pts
When using OOP, which of the following terms refers to a mechanism for a behavior, basically how it’s implemented?
composition
inheritance
polymorphism
dynamic binding
Flag this Question
Question 3 1 pts
To access an element in an Array object,
Use the ArrayList's get() method.
Use the ArrayList's element() method.
Individual elements in an ArrayList can’t be accessed without doing a sequential query getSequential(), returning every element up to and including the element requested.
Use square brackets around an index value.
Flag this Question
Question 4 1 pts
To access an element in an ArrayList object,
Use square brackets around an index value.
Use the ArrayList element() method.
Use the ArrayList get() method.
Individual elements in an ArrayList can’t be accessed without doing a sequential query getSequential(), returning every element up to and including the element requested.
Flag this Question
Question 5 1 pts
What term below is defined as a message that tells the program that something has happened?
an interaction
a listener
an action
an event
Flag this Question
Question 6 1 pts
Which item below is defined as an object?
A String
An Array
All of the above
An ArrayList
Flag this Question
Question 7 1 pts
When a text-box-enter event occurs, which method and parameter are required to handle this type of action? (1 point)
actionEvent with an actionperformed parameter
actionListener with an interfaceID parameter
windowListener with an eventID parameter
actionPerformed with an actionEvent parameter
Flag this Question
Question 8 1 pts
Which class includes the setTitle and setSize methods?
JFrame
JWindow
JBox
JOptionpane
Flag this Question
Question 9 1 pts
Before utilizing the binary search method, __________ must be done to the array?
indexing
splitting
sorting
importing
Flag this Question
Question 10 1 pts
Which layout manager implements a one-compartment layout scheme?
GridlessLayout
GridBagLayout
GridLayout
FlowLayout
BorderLayout
Flag this Question
Question 11 1 pts
What is the default layout manager for a JFrame window?
GridBagLayout
GridLayout
FlowLayout
GridlessLayout
BorderLayout
Flag this Question
Question 12 1 pts
To call the superclass constructor, super() must be the first line in a constructor.
True
False
Flag this Question
Question 13 1 pts
Method overriding is when a method has the same name, same sequence of parameter types, and the same return type as a method in a superclass.
True
False
Flag this Question
Question 14 1 pts
Type casting, also known as promotion is ...
This document discusses various ensemble machine learning algorithms including bagging, boosting, and random forests. It explains that ensemble approaches average the predictions of multiple models to improve performance over a single model. Bagging trains models on random subsets of data and averages predictions. Random forests build on bagging by using random subsets of features to de-correlate trees. Boosting iteratively trains weak learners on weighted versions of the data that focus on previously misclassified examples. The document provides examples and comparisons of these ensemble techniques.
The document describes the author's approach to building a machine learning pipeline for a Kaggle competition to predict product categories from tabular data. The pipeline includes: 1) Loading and processing the training, testing, and submission data, 2) Performing cross-validated model training and evaluation using algorithms like XGBoost, LightGBM and CatBoost, 3) Averaging the results to generate final predictions and create a submission file. The author aims to share details of algorithms, hardware performance, and results in subsequent blog posts.
The document describes using univariate and multivariate Gaussian models for anomaly detection on aircraft test data, where the test data has two features of engine heat and vibration and the training data consists of 10 normal aircraft examples. It shows calculating probabilities for a new test point using each model and determining if the test point is anomalous based on a threshold. It also prompts practicing the same process with 3-4 features instead of two.
Monte Carlo simulation is a computerized mathematical technique to
generate random sample data based on some known distribution for
numerical experiments.
• The Law of large numbers ensures that the relative frequency of
occurrence of a possible result of a random variable converges to the
theoretical or expected outcome as the number of experiments
increases.
• The essence of Monte Carlo simulation is to sample random variables
significant number of times so that the relative frequency converges to
the theoretical probability with greatest reliability
Assessing Model Performance - Beginner's GuideMegan Verbakel
A binary classifier predicts outcomes that are either 0 or 1. It is trained on historical data containing features and targets, and learns patterns to predict probabilities of each class for new data. Performance is evaluated using metrics like accuracy, precision, recall from a confusion matrix, and ROC AUC. The bias-variance tradeoff and over/under fitting are minimized by optimizing model complexity during training and testing.
Introduction to Machine Learning for newcomers. It will show you some basic concepts like what is supervised learning, unsupervised learning, classification, regression, under/overfitting, clustering, anomaly detection, and how to have some measures. It will illustrates examples through scikit-learn and tensorflow code
Similar to MTH 115-01 StatsName__________________85 Possible Points.docx (20)
Young Adulthood begins with the individual being on the verge of att.docxrosemarybdodson23141
Young Adulthood begins with the individual being on the verge of attaining several major life tasks. By the end of the Young Adulthood period, the individual should have successfully attained:
Work
: Higher Education, Obtaining a Job, Developing a sense of work ethic and your place in the workforce
Independent Living
: Dorm-life, Find an apartment, buy a home, merge finances with marriage, support spouse and children
Marriage
: Form intimate relationships, make a commitment, find a life-partner
Child Rearing
: bearing and raising children
What happens to the development of the Young Adult if these life tasks are not attained? Include a discussion of how development will be affected by not attaining these life tasks with respect to the developmental theorists discusses in your class notes and text (K.Warner Schae, Erikson, Levinson and Sternberg). Also, include a discussion of current economic or societal reasons as to why Young Adults may not be achieving these life tasks? Use APA citations for all resources used; including your course text.
3 pages
.
Your abilities in international management have been recognize.docxrosemarybdodson23141
Your abilities in international management have been recognized, and your consulting assistance has been requested. The company Quasimoto Enterprises has been approached by a reputed Chinese firm that wants exclusive production and selling rights for one of its new high-tech products. The company has been looking for a strategic partner for the production of this product to reduce costs. Hence, Quasimoto Enterprises is very interested in exploring the possibility of developing relationships with this Chinese firm. This deal is very critical to growth of Quasimoto in the international market. Both parties are anxious and preparing for their first meeting in a month’s time to move this deal forward. This is the first time Quasimoto is doing business with China, and this is also the case with the Chinese firm.
The bold question below is my part of the project That i need you to complete. It has to be 5 double space written pages plus reference page Disregard the other two question and, its not my responsibility. I just added it to the email for you to have a full understanding of the what assignment is.
What does Quasimoto Enterprises need to know about Chinese bargaining behaviors to strike the best possible deal with this company? What should the Chinese firm know about American bargaining behaviors to strike the best possible deal with your company?
In your small group, develop a strategic plan for the negotiation and conflict resolution for Quasimoto's executive team for its first meeting with the Chinese. Also, develop a negotiation and conflict resolution plan for the Chinese firm for its first meeting with the Americans. Please note that because this is an important business deal for both companies, both of your plans should include the bargaining behaviors of both countries. Are there any similarities between their bargaining behaviors? Can they have a win-win deal?
APA format is mandatory (in text and in the reference section).
There are two main types of databases accessible in the library, through “FIND ARTICLES & BOOKS.” Keep in mind that the most popular databases are: ABI Inform Global, Academic Search Premier, and Business Source Premier. As a student, you must steer away from inferior Web sites with anonymous writers, articles found on consultant Web sites, materials on sites like QuickMBA.com, MarketingProfs.com, etc. Dictionaries and Encyclopedias most often repeat the information from your text. Acceptable Internet resources include among others government sites (especially for statistics). You are not permitted to use any open-source Web site in this course.
Present your findings as a 5 -7 pages Word document formatted in APA style.
Submitting your assignment in APA format means, at a minimum, you will need the following:
1. TITLE PAGE. Remember the Running head: AND TITLE IN ALL CAPITALS
2. ABSTRACT. A summary of your paper…not an introduction. Begin writing in third person voice.
3. BODY. The body of your paper begins on t.
your 14 years daughter accidently leaves her purse open in the fam.docxrosemarybdodson23141
A parent finds their 14-year-old daughter's purse open and sees a package of birth control pills inside. There are two questions asking for discussion of this situation. The first asks for a brief description and definition. The second asks to discuss at least one major theoretical approach to explaining and resolving the situation.
Young people are ruining the English languageIn your reflectio.docxrosemarybdodson23141
"Young people are ruining the English language"
In your reflection, respond to the following sub-prompts:
What are the underlying language ideologies of this statement?
What would be a linguist’s take on this statement?
What type of evidence would one need to support the statement?
Do you have a personal position on this statement? Explain.
Has this course (or a related course) influenced your understanding of the issue around this statement? Explain
.
Young man drops out of school in seventh grade and becomes his mothe.docxrosemarybdodson23141
Young man drops out of school in seventh grade and becomes his mothers most wealthiest child. Obtaining a car dealership, a club , and real estate.
How he overcame. The mistakes he made. How the people closest people closest to him helped or hindered him. 3 scenes as an adolescen 3 sscenes as a middle age adult and 3 scenes as an older adult,
.
Young and the RestlessWeek 11 Couples Therapy Movie Experience .docxrosemarybdodson23141
Young and the Restless
Week 11: Couples Therapy Movie Experience & Paper (28 points)
Couples Therapy Movie/TV Experience & Analysis Paper (Due week 11): 28 points
Couples Therapy Movies Experience & Analysis Paper based is based on the UCLA Marriage Enrichment Program & Happily Ever After The Movies & Relationship Study (A research study that is being conducted by Professor Ronald D. Rogge from the University of Rochester’s Department of Clinical and Social Sciences in Psychology) as well as the “PAIR Program” Promoting Awareness and Improving Relationships with Movies, my experience as a LMHC, LPC and LMFT Clinical Supervisor, Prepare/Enrich Certified Marital Counselor, Certified Supreme Court Mediator, and Certified Parent Coordinator.
http://www.courses.rochester.edu/surveys/funk/ (Links to an external site.)Links to an external site.
“A recent study at UCLA of Couples after the first 3 years of marriage (Roggie, et al., 2014) suggested that couples felt enriched by watching movies together and then “engaging in relationship focused” discussions after each movie. In these conversations the couple would discuss how their relationship was similar to different from the intimate relationship portrayed in each movie.’
This is a self-growth and Movie/TV analysis experience activity. Ideally doing this with a partner would be fun however not required. You can do this alone and base it on a relationship you had or one you hope to have or your family. It is not important to disclose if it is your relationship that you are using if you do not want to however be consistent with who you are using in your reflections.
The best approach to this assignment is to pick a show or a movie and watch it the beginning of the term and then at the end unless you choose a TV show to “binge” watch as part of this class or over the 3 months of class to immerse yourself into the show and couples you will be assessing and exploring in this project and take notes based on the assessment questions each time you watch the movie/show.
You will be looking at the following objectives for the couple:
• Explore strength and growth areas
• Strengthen communication skills
• Identify and manage major stressors
• Conflict resolution abilities
• Develop a more balanced relationship
• Explore family of origin issues
• Discuss financial planning and budgeting
• Establish personal, couple and family goals
• Understand and appreciate personality differences
Your Task (Cut and Paste these questions into a WORD document and create a template to use while watching movies/TV shows of your choice):
1) Pick 1 movie or “binge” watch a TV show (at least 4-6 episodes) related to Couples and Family.
2) Answer the following questions in a journal format or paper if you choose referencing the TV show/movies you watch, your text and other Couple and Family Therapy resources you use to support your thoughts/ideas.
1. What movie/TV shows did you watch? List.
You may have seen how financial news outlets provide real-time .docxrosemarybdodson23141
You may have seen how financial news outlets provide real-time financial market reporting. They often produce stock-market news feeds for traders; these news feeds include a stock chart. The stock chart may include different filters that allow you to see how the stock is performing today or has performed over one or more years.
There are many factors that will influence pricing that can’t be controlled or predicted accurately. The approaches used to value stocks (determine what the stock is truly worth) are usually theoretical. You should consider what drives stock prices and why.
For this discussion, first go to Mergent Online. Find the pricing chart under the “Company Details” tab, then click on
Pricing Summary
for your selected company. This is the company you have selected for your Project Two assignment. Filter the time period to one year.
In your initial post, address the following:
Discuss how the stock for your company is trending. Explain why the stock is in either an uptrend or downtrend.
Discuss some of the factors, including environmental, sustainable, and governance (ESG) factors, that you believe have impacted the stock performance and why.
Convince your peers to either invest in your chosen company or to not invest in the company. Explain your reasoning.
In your response posts to at least two peers, discuss the following:
Do you agree with your peer’s argument to either invest or not invest in their company? Explain why or why not, making sure to also include information not previously shared by your peer
Post by Joshue Brown
Discuss how the stock for your company is trending. Explain why the stock is in either an uptrend or downtrend.
Tesla's stock has a positive trend over the past year. The stock has ranged from a low of $187.06 a year ago to a high of $883.09 on January 26, 2021 (Yahoo, 2021a). Tesla's shares have skyrocketed more than 20,000% since it went public in 2010, with its price rising more than 700% over the last year (Levin, 2021). This growth has made Tesla the most valuable car company in the world. There are many reasons for this epic growth. After years of not turning a profit for years, Tesla has finally shown a profit for the last 6 quarters. Tesla also beat estimates by producing more than 500,000 vehicles and selling its fifth vehicle, Modle Y, ahead of schedule (Levin, 2021). In addition, Tesla was added to the S&P 500 on November 16th, 2020, which helped the share price spike. These are the main drivers of the success of Teslas stock over the past 12 months. Another positive trend that has factored into the growth of Tesla's stock is the growing demand for EV stocks in general. Tightening emission regulations and the government's continued push towards renewable energy have also help Tesla's shares rise.
Discuss some of the factors, including environmental, sustainable, and governance (ESG) factors, that you believe have impacted the stock p.
You are responsible for putting together the Harmony Day celebr.docxrosemarybdodson23141
You are responsible for putting together the Harmony Day celebration for Darcy Consulting, this years’ theme is Everyone Belongs.
There will be the following events:
Morning tea (internal)
Art Exhibition opening (Darcy Consulting is the main sponsor of this event)
Put together a communication/project plan for Harmony Day. Communication types to be included are:
Posters promoting both (internally)
Emails promoting both (internally)
Email to clients inviting them to Art Exhibition
Scripted remarks for CEO for the Art Exhibition opening
Scripted remarks for HR Manager for Morning Tea
In your plan you will need to:
Timeline the planning of the events
Timeline the communication
Identify key messages
.
You wrote this scenario from the perspective of Behaviorism learni.docxrosemarybdodson23141
You wrote this scenario from the perspective of Behaviorism learning theory Now I want two scenarios same this scenario but from two different perspectives that they are Cognitivism Learning theory and Social learning theory
For further clarification see attached example
Learning Situation from Behaviorism Learning Theory
The class of 20 students is divided into two teams, having 10 students in each team. The teacher makes two columns on the board for team A and team B. Teacher points out, Yesterday in our history class we studied about the civil rights movement I hope you have well-prepared that topic. Let’s start an informal quiz based on yesterday’s topic. Are you guys ready? Students say, “Yes”! Teacher starts asking questions. Team A! Which sports Jackie Robinson played? Students raised their hands. Robert? Can you give the answer? Robert says soccer. Teacher appreciating Robert’s effort says very good Robert and write 10 under the column of Team A. Next question for Team B, Dr. Martin Luther King Jr. went to the college to become? Students raise their hands. James, can you answer? James says, “Minister”. Teacher appreciates the attempt but the answer is not correct. Ok! Now, what you guys think what was the main contribution of Abraham Lincoln?Timothy raised his hand and replied, he brought freedom and abolish slavery. Rosie raised her hand and replied, he ran the country being a president of the country. Teacher says, when we freedom was attained by the African American it was not solely due to Abraham Lincoln. Who played the actual role? Joseph replies, African Americans themselves. Teacher appreciated Joseph’s answer saying absolutely right. No leader can bring freedom from slavery or racism until its people are themselves not ready to put their efforts. Nation needs to be united to get rid of inequality.
Learning Situation from Cognitivism Learning Theory:
Learning Situation from Social Learning Theory:
3 | Page
Chapter 2 terminology
Psych260
Nervous System-
A network of billions of cells in the brain and the body responsible for all aspects of what we feel, think, and do.
Central nervous system-
The part of the nervous system that consists of the brain and the spinal cord.
Peripheral nervous system-
The part of the nervous central nervous system with the muscles, organs and glands.
Neurons-
The basic units of the nervous system cells that receive integrate and transmit information in the nervous system. Neurons operate through electrical impulses communicate with other neurons through electrical impulses communicate with other neurons through chemical signals and form neural networks.
Dendrites –
Branchlike extensions of the neuron with receptors that detect information from other neurons.
Cell Body-
Part of the neuron where information from thousands of other neurons is collected and integrated.
Axon-
A long narrow outgrowth of a neuron that enables the neuron to transmit information to other neurons..
You worked closely with your IT managers to develop a complementing .docxrosemarybdodson23141
You worked closely with your IT managers to develop a complementing IT strategic plan. Your team identified the new technologies to be implemented in the next 2 years.
In 175 words or more discuss how you would proceed in advancing these technologies from the planning phase to executing and utilizing them in the company.
.
You work in the office of a personal financial planner. He has asked.docxrosemarybdodson23141
The document provides instructions for a financial planner to develop an initial power point presentation and speaker notes to educate a company about hedge funds as alternatives for fund acquisition and the associated risks. The presentation should include 8-10 slides and 600-800 words of speaker notes and is due in two days, on June 29th at 11:59 PM for a total of 125 points. The planner should use the provided course materials and resources to complete the assignment.
You work in the IT department of a financial services company that s.docxrosemarybdodson23141
You work in the IT department of a financial services company that sells investments to, and manages investment portfolios for, high net worth individuals. Your organization uses custom-built legacy software applications and systems to support its sales processes. The sales software applications and systems are not integrated, and they do not support an enterprise view of the sales processes throughout the organization. Management is frustrated because the sales applications and systems do not provide the information and reports necessary for them to measure, monitor, and manage sales production in the organization. Sales executives and account managers are frustrated because the sales software applications and systems do not support the sales cycle for the products and services that the organization sells.
You have been assigned to analyze your organization’s sales processes and identify an IT system capable of improving the sales processes of your organization. In addition, your organization is looking for an easy-to-use, cloud-based Customer Relationship Management (CRM) solution to generate more leads, increase sales, improve customer service, reduce the cost of sales for the organization, and increase revenue.
The project proposal must include the following items:
· A project definition and scope that defines the project and articulates the business context for the project
· The problems that the proposed system is expected to solve (or opportunities the proposed project is expected to produce)
· The project objectives
· The project methodology or "game plan"
· A high-level schedule for completing the project scope
Instructions
: Fill out each of the sections below with information relevant to your project, and add your company’s name.
Company Name
Project Proposal
Project Scope statement
Project Title:
Project Sponsor(s):
Business Context for the System:
Project Scope Description:
Date Prepared:
Prepared By:
Problems/Issues/opportunities the proposed system expected to Solve
Problems
Issues
Opportunities
·
·
·
project objectives
Project Objective Name
Project Objective Description
project deliverables
Project Deliverable Name
Project Deliverable Description
project acceptance criteria
Project Acceptance Criteria Name
Project Acceptance Criteria Description
project exclusions
Project Exclusion Name
Project Exclusion Description
project constraints
Project Constraint Name
Project Constraint Description
project assumptions
Project Assumption Name
Project Assumption Description
PROJECT METHODOLOGY
high-level work schedule: Project Scope
Description of Work
Assumptions and Constraints
Milestones
Due Dates
ID
Activity
Resource
Labor
Hours
Labor
Rate
Labor
Total
Material
Units
Material
Cost
Material
Total
Total
Cost
.
You work for the Jaguars Bank as the Chief Information Officer. It .docxrosemarybdodson23141
You work for the Jaguars Bank as the Chief Information Officer. It has been brought up to your attention that a security model is needed for protection of information. Using the NSTISSC model, examine each of the cells and write a brief statement on how you would address the three components represented in that cell.
.
You work for OneEarth, an environmental consulting company that .docxrosemarybdodson23141
You work for OneEarth, an environmental consulting company that specializes in building-condition assessments, contaminated-site remediation, and energy audits. Founded by an environmentally concerned citizen in 2010, OneEarth has emerged as the highest-quality and most comprehensive environmental services company in the northern region of the United States.
Recently, ardent local representative Sy Bill Wright contacted OneEarth for assistance evaluating the validity of arguments related to fracking. He agreed to meet with any interest or advocacy groups that wanted to discuss their positions to ensure that he was well-informed about the controversial topic. Now, he needs OneEarth’s help examining the arguments and the evidence they provided to ensure that he makes a sound decision. He believes that OneEarth, a highly-respected environmental firm with strong connections to the local community, could provide critical insights to his evaluation of the advocacy groups’ evidence. Aware of your previous work advising on fossil fuel management, your manager Claire DeAir has asked you to serve as a liaison to representative Wr
Directions
Representative Wright has provided you with all of the information he received from the advocacy or interest groups that he entertained the previous week. This information in available in his email in the Supporting Materials section. In your position paper (750–1,250 words), you will evaluate the arguments of each group, specifically examining their conclusions, premises, assumptions, and evidence. Using your analysis, representative Wright will be able to determine how to take the soundest position on the controversial topic. In your paper, include the following components:
A discussion of the common conceptions and misconceptions about the topic
What is the topic? What are the
common conceptions and misconceptions
about this topic?
What is the context of the topic?
Why is the topic a significant issue?
What was your own opinion as a consultant prior to conducting research?
An identification and description the components of the argument
What is the
main point or conclusion
about the topic?
What are the
main arguments and subarguments
about the topic?
What are the
premises
(reasons for thinking the conclusion is true)? Are there any
missing premises
?
What are the
assumptions
and
biases
?
A recognition and evaluation of the deductive and inductive arguments
If the argument is
deductive
(providing premises that guarantee their conclusions):
Is the argument
valid
? (Are the premises and the conclusions true?)
What types of formal and/or informal
logical fallacies
are used?
Is the argument
sound
?
If the argument is
inductive
(aiming to provide premises that make the conclusion more probable):
Is the argument
strong
(more probable conclusion in light of premises) or
weak
(less probable conclusion i.
You work for an international construction company that has been con.docxrosemarybdodson23141
You work for an international construction company that has been contracted to build the tallest skyscraper in the world in Rio De Janeiro. The financing is coming from Dubai, the materials are coming from China, the engineering and technology is
coming from Germany, and the labor will be hired locally with management from the United States. You invite all of the players to the headquarters in the United States for a big meeting to explain the project and get to know one another. The people seem to be staying with their own groups and not mingling.
·
What is the cultural phenomenon here?
·
How do you explain the lack of intercultural communication?
·
What do you know about these cultures—specifically their economic, political, educational, and social systems—that could help you in getting them together?
·
What are some of the contrasting cultural values of these countries?
You are concerned about some of the language issues as you start the meeting, particularly the fact that the United States is a low-context country, and some of the countries present are high-context countries. Furthermore, you only speak English, and you do not have an interpreter present.
·
How will this affect the presentation?
·
What are some of the issues you should be concerned about regarding verbal and nonverbal language for this group?
·
What strategy would you use to begin to have everyone develop a relationship with each other that will help ease future negotiations, development, and implementation?
.
You will write your Literature Review Section of your EBP Projec.docxrosemarybdodson23141
You will write your Literature Review Section of your EBP Project Proposal. Here is a
Review of Literature Example (Word)
to use as a model or guide. To conduct your literature review, you begin with the search strategy, gather your resources, then start writing your literature review and gap analysis.
Search Strategy
In the literature review section, you are to identify your
search strategy
, which can include the following:
the databases and internet sites or search engines used to explore the literature (CINAHL, Medline, Google, Yahoo, etc.)
the search terms you used
the beginning and ending dates of the period covered in this study
the time period when the search was conducted (e.g., Fall 2008)
any special journals hand-searched and any relevant sources used in performing the literature search
Description of Literature or Gaps in the Literature
The literature review section is a review of studies that are related to your phenomenon. It should take up about eight to ten pages, or approximately 3,000 to 4,000 words. The purpose is to tell the reader what is known about your phenomenon and lead the reader to what is not known about your phenomenon (your research problem). You should have sub-headings throughout this section of the paper.
The literature section discusses the relevant research related to your study. Do not discuss each study individually; instead, synthesize the literature based on your literature matrix. You can discuss individual findings of studies (include all eight studies that you described in your literature matrix in Weeks 4 and 9) as appropriate including the statistical findings and study samples. This section needs to tell the reader what is known about your clinical area of interest. You will also summarize your review of the literature and discuss the gaps you have identified.
Assignment Instructions
Your assignment should be:
Eight to ten pages, or approximately 3,000 to 4,000 words, no cover page required, and the page count doesn’t include the references list
Your search strategy
Description of articles (who, population, sample, what was done, statistical findings, limitations, and so on)
Gaps section: the gaps you have identified from your literature search
Please refer to the
Grading Rubric
for details on how this activity will be graded.
Example of A Literature Review : Follow the below example
Week 9 Review of Literature Example
Written by Jennifer Oddy, Entitled:
Distress And Coping of Mothers of Children With Muscular Dystrophy
Introduction
The purpose of this literature review is to discuss the current knowledge regarding experiences of mothers who care for their child with muscular dystrophy, their coping mechanisms, and to understand their lived experiences in order to provide better nursing care to these mothers. Not only will the current knowledge be addressed, this literature review will also speak to what is unknown about this phenomenon. The concepts of matern.
You work for a small community hospital that has recently updated it.docxrosemarybdodson23141
You work for a small community hospital that has recently updated its health record system to a modern electronic health record (EHR) system. As a health care manager, you have been asked to meet with the health information manager (HIM) and analyze the efficiency, security, and privacy of your current health records system. Your organization has very high standards and a culture of keeping up with current trends. After your analysis, you have been asked to provide a detailed report to the hospital's chief operating officer (COO) detailing the following:
Examine the emergence of technology and electronic health systems in health care since the passage of the Health Insurance Portability and Accountability Act (HIPAA).
Provide an analysis of the current trends in health care record keeping and charting as they relate to advancements in technology.
Assess ways in which contemporary patient records systems can support health care operations including privacy, quality patient care delivery, insurance and cost administration, and records access and retention.
Present your findings in an executive summary of 5–7 pages.
.
You work for a regional forensic computer lab and have been tasked w.docxrosemarybdodson23141
You have been tasked with recovering data from a suspect's cell phone/PDA to find evidence of cyberstalking. Research methods of cyberstalking and detail your process for recovering all information from the device to prove the allegations using any evidence found.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
MTH 115-01 StatsName__________________85 Possible Points.docx
1. MTH 115-01 Stats Name__________________
85 Possible Points Fall 2015
Part A: For problems 1 - 4, draw the necessary pictures so that
I may follow your work. Label all z-scores and areas.
Assume that we have a normal distribution with a. (5 pts
each)
1. P(x < 75) = __________ 2. P(73 < x < 93) =
__________
3. P(x <73 or x > 75) = __________ 4. P(x = 73) =
___________
2. Part B: Determine whether each statement is true or false.
If the statement is false, explain why. (15 points = 3pts each)
1. The total area under the normal distribution bell-shaped
curve is infinite.
2. The standard normal distribution is a discrete
distribution.
3. The z value corresponding to a number below the mean
is always negative.
4. The area under the standard normal distribution to the
left of z = 0 is negative.
5. For a standard normal probability distribution, the
mean is always 1.
Part C: Work the following problems. Please show your work
to receive full credit.
1. (15pts) 30 High school students were randomly selected and
surveyed about the amounts of time they spend at after-school
jobs. The mean and standard deviation were found to be 26
hours and 6 hours, respectively. Assume that the given
statistics come from a normally distributed population.
a. Find the best point estimate of the population standard
deviation.
3. b. Find a 95% confidence interval for the population standard
deviation.
2. (10pts) You have just been hired by General Motors to tour
the United States giving randomly selected drivers test rides in
a new Corvette (yeah, right!). After giving the test drive, you
must ask the rider whether he or she would consider buying a
Corvette. How many riders must you survey (take for test
rides) to be 90% confident that the sample proportion is off by
no more than five percentage points?
3. (10pts) Of 2590 students randomly selected, 98% of them
own computers. Construct a 99% confidence interval for the
true proportion of all students who own computers.
4. 4. (15pts) A food packing company fills sacks of cereal using
automated machinery. The fill amounts are normally distributed
with a mean weight of 2 pounds and a standard deviation of
0.20 pounds.
a) One sack is randomly selected. What is the probability that
the weight of the sack exceeds 2.05 pounds?
b) Sixteen sacks are randomly selected. What is the probability
that the mean weight of the sample of 16 sacks exceeds 2.05
pounds?
Page 1 of 3
75 and 10
ms
==
PainterStartup/.classpath
12. import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by UI classes that want
to allow some data they handle to be saved.
* @author David T. Smith
*/
publicinterfaceCloseable{
publicvoid close(ActionEvent evt);
publicboolean isCloseable(EventObject evt);
}
PainterStartup/com/javera/ui/actions/CloseAction.classpackage
com.javera.ui.actions;
publicsynchronizedclass CloseAction extends
ManagedStateAction {
privatestatic CloseAction saveAction;
static void <clinit>();
private void CloseAction();
publicstatic CloseAction getAction();
public void actionPerformed(java.awt.event.ActionEvent);
public boolean isTargetEnabled(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/CloseAction.javaPainterSt
artup/com/javera/ui/actions/CloseAction.java//Copyright 2004, (
c) Javera Software, LLC. as an unpublished work. All rights res
erved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui.actions;
14. }
}
PainterStartup/com/javera/ui/actions/CloseAllable.classpackage
com.javera.ui.actions;
publicabstractinterface CloseAllable {
publicabstract boolean closeAll(java.awt.event.ActionEvent);
publicabstract boolean isCloseAllable(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/CloseAllable.javaPainterSt
artup/com/javera/ui/actions/CloseAllable.javapackage com.javer
a.ui.actions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by UI classes that want
to allow some data they handle to be saved.
* @author David T. Smith
*/
publicinterfaceCloseAllable{
publicboolean closeAll(ActionEvent evt);
publicboolean isCloseAllable(EventObject evt);
}
PainterStartup/com/javera/ui/actions/CloseAllAction.classpacka
ge com.javera.ui.actions;
publicsynchronizedclass CloseAllAction extends
javax.swing.AbstractAction {
privatestatic CloseAllAction saveAllAction;
27. }
publicboolean isTargetEnabled(EventObject evt ){
Exitable exitable =(Exitable)
ActionUtilities.getCommandTarget( evt,Exitable.class);
if( exitable !=null){
return exitable.isExitable( evt );
}else{
returnfalse;
}
}
}
PainterStartup/com/javera/ui/actions/Exportable.classpackage
com.javera.ui.actions;
publicabstractinterface Exportable {
publicabstract void export(java.awt.event.ActionEvent);
publicabstract boolean isExportable(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/Exportable.javaPainterStar
tup/com/javera/ui/actions/Exportable.java/* Generated by Toget
her */
package com.javera.ui.actions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by components that wis
28. h to work
* with Export actions.
*/
publicinterfaceExportable{
/**
* Performs the Export action.
*/
publicvoid export(ActionEvent evt );
/**
* Implementing object should use this method to specify wh
ether an Export
* is currently performable.
*/
publicboolean isExportable(EventObject evt );
}
PainterStartup/com/javera/ui/actions/ExportAction.classpackage
com.javera.ui.actions;
publicsynchronizedclass ExportAction extends
ManagedStateAction {
privatestatic ExportAction exportAction;
static void <clinit>();
private void ExportAction();
publicstatic ExportAction getAction();
public void actionPerformed(java.awt.event.ActionEvent);
public boolean isTargetEnabled(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/ExportAction.javaPainterS
tartup/com/javera/ui/actions/ExportAction.java/* Generated by
Together */
package com.javera.ui.actions;
46. publicabstract void pageSetup(java.awt.event.ActionEvent);
publicabstract boolean
isPageSetupable(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/PageSetupable.javaPainter
Startup/com/javera/ui/actions/PageSetupable.javapackage com.j
avera.ui.actions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by components that wis
h to work
* with Print actions.
*/
publicinterfacePageSetupable{
/** Performs the Print action. */
publicvoid pageSetup(ActionEvent evt );
/**
* Implementing object should use this method to specify wh
ether a Print
* is currently performable.
*/
publicboolean isPageSetupable(EventObject evt );
}
PainterStartup/com/javera/ui/actions/PageSetupAction.classpack
age com.javera.ui.actions;
publicsynchronizedclass PageSetupAction extends
javax.swing.AbstractAction {
privatestatic PageSetupAction pageSetupAction;
51. returnfalse;
}
}
}
PainterStartup/com/javera/ui/actions/Printable.classpackage
com.javera.ui.actions;
publicabstractinterface Printable {
publicabstract void print(java.awt.event.ActionEvent);
publicabstract boolean isPrintable(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/Printable.javaPainterStartu
p/com/javera/ui/actions/Printable.javapackage com.javera.ui.act
ions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by components that wis
h to work
* with Print actions.
*/
publicinterfacePrintable{
/** Performs the Print action. */
publicvoid print(ActionEvent evt );
/**
* Implementing object should use this method to specify wh
ether a Print
56. returnfalse;
}
}
}
PainterStartup/com/javera/ui/actions/Refreshable.classpackage
com.javera.ui.actions;
publicabstractinterface Refreshable {
publicabstract void refresh(java.awt.event.ActionEvent);
publicabstract boolean isRefreshable(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/Refreshable.javaPainterSta
rtup/com/javera/ui/actions/Refreshable.javapackage com.javera.
ui.actions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by components that wis
h to work
* with Refresh actions.
*/
publicinterfaceRefreshable{
/** Performs the Find action. */
publicvoid refresh(ActionEvent evt );
/**
* Implementing object should use this method to specify wh
ether a Refresh
* is currently performable.
*/
publicboolean isRefreshable(EventObject evt );
57. }
PainterStartup/com/javera/ui/actions/RefreshAction.classpackag
e com.javera.ui.actions;
publicsynchronizedclass RefreshAction extends
ManagedStateAction {
privatestatic RefreshAction refreshAction;
static void <clinit>();
private void RefreshAction();
publicstatic RefreshAction getAction();
public void actionPerformed(java.awt.event.ActionEvent);
public boolean isTargetEnabled(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/RefreshAction.javaPainter
Startup/com/javera/ui/actions/RefreshAction.javapackage com.j
avera.ui.actions;
import com.javera.ui.IconManager;
import java.awt.event.ActionEvent;
import java.util.EventObject;
import javax.swing.Action;
/** A managed state action for Refresh operations. */
publicclassRefreshActionextendsManagedStateAction{
privatestaticRefreshAction refreshAction =newRefreshAction();
privateRefreshAction(){
super("Refresh...",IconManager.getIcon("Refresh.gif"));
putValue(Action.MNEMONIC_KEY,newInteger('F'));
putValue(Action.SHORT_DESCRIPTION,"Refresh");
putValue(Action.LONG_DESCRIPTION,"Refresh");
}
59. ons;
import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by UI classes that want
to allow some data they handle to be saved.
* @author David T. Smith
*/
publicinterfaceSaveable{
publicvoid save(ActionEvent evt);
publicboolean isSaveable(EventObject evt);
}
PainterStartup/com/javera/ui/actions/SaveAction.classpackage
com.javera.ui.actions;
publicsynchronizedclass SaveAction extends
ManagedStateAction {
privatestatic SaveAction saveAction;
static void <clinit>();
private void SaveAction();
publicstatic SaveAction getAction();
public void actionPerformed(java.awt.event.ActionEvent);
public boolean isTargetEnabled(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/SaveAction.javaPainterSta
rtup/com/javera/ui/actions/SaveAction.javapackage com.javera.
ui.actions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
61. PainterStartup/com/javera/ui/actions/SaveAllable.classpackage
com.javera.ui.actions;
publicabstractinterface SaveAllable {
publicabstract void saveAll(java.awt.event.ActionEvent);
publicabstract boolean isSaveAllable(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/SaveAllable.javaPainterSta
rtup/com/javera/ui/actions/SaveAllable.javapackage com.javera.
ui.actions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
/**
* This interface should be implemented by UI classes that want
to allow some data they handle to be saved.
* @author David T. Smith
*/
publicinterfaceSaveAllable{
publicvoid saveAll(ActionEvent evt);
publicboolean isSaveAllable(EventObject evt);
}
PainterStartup/com/javera/ui/actions/SaveAllAction.classpackag
e com.javera.ui.actions;
publicsynchronizedclass SaveAllAction extends
javax.swing.AbstractAction {
privatestatic SaveAllAction saveAllAction;
static void <clinit>();
private void SaveAllAction();
63. }
publicboolean isTargetEnabled(EventObject evt){
SaveAllable target =
(SaveAllable)ActionUtilities.getCommandTarget(evt,SaveAllabl
e.class);
if(target !=null){
return target.isSaveAllable(evt);
}else{
returnfalse;
}
}
}
PainterStartup/com/javera/ui/actions/SaveAsable.classpackage
com.javera.ui.actions;
publicabstractinterface SaveAsable {
publicabstract void saveAs(java.awt.event.ActionEvent);
publicabstract boolean isSaveAsable(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/SaveAsable.javaPainterSta
rtup/com/javera/ui/actions/SaveAsable.java//Copyright 2004, (c)
Javera Software, LLC. as an unpublished work. All rights reser
ved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui.actions;
import java.awt.event.ActionEvent;
import java.util.EventObject;
64. /**
* This interface should be implemented by UI classes that want
to allow some data they handle to be saved
* as another entity.
* @author David T. Smith
*/
publicinterfaceSaveAsable{
publicvoid saveAs(ActionEvent evt);
publicboolean isSaveAsable(EventObject evt);
}
PainterStartup/com/javera/ui/actions/SaveAsAction.classpackag
e com.javera.ui.actions;
publicsynchronizedclass SaveAsAction extends
javax.swing.AbstractAction {
privatestatic SaveAsAction saveAsAction;
static void <clinit>();
private void SaveAsAction();
publicstatic SaveAsAction getAction();
public void actionPerformed(java.awt.event.ActionEvent);
public boolean isTargetEnabled(java.util.EventObject);
}
PainterStartup/com/javera/ui/actions/SaveAsAction.javaPainter
Startup/com/javera/ui/actions/SaveAsAction.java//Copyright 20
04, (c) Javera Software, LLC. as an unpublished work. All right
s reserved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui.actions;
import java.awt.event.ActionEvent;
74. */
publicinterfaceCompleteEntry{
publicvoid completeEntry();
}
PainterStartup/com/javera/ui/GetIcon.classpackage
com.javera.ui;
publicabstractinterface GetIcon {
publicabstract javax.swing.Icon getIcon();
}
PainterStartup/com/javera/ui/GetIcon.javaPainterStartup/com/ja
vera/ui/GetIcon.java//Copyright 2004, (c) Javera Software, LLC
. as an unpublished work. All rights reserved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui;
import javax.swing.Icon;
/**
* GetIcon interface provides access to the getIcon() method use
d by
* the various renderers to obtain an Icon for a given object
*
* @author David T. Smith
*/
publicinterfaceGetIcon{
/**
* Get the icon to be displayed by the renderer
* @ return the icon to be displayed
*/
publicIcon getIcon();
75. }
PainterStartup/com/javera/ui/GetObject.classpackage
com.javera.ui;
publicabstractinterface GetObject {
publicabstract Object getObject();
}
PainterStartup/com/javera/ui/GetObject.javaPainterStartup/com/
javera/ui/GetObject.java//Copyright 2004, (c) Javera Software,
LLC. as an unpublished work. All rights reserved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui;
/**
* GetObject interface provides access to the getObject() metho
d used by
* the various renderers to obtain a contained object
*
* @author David T. Smith
*/
publicinterfaceGetObject{
/**
* Get the contained object
* @return the contained object
*/
publicObject getObject();
}
PainterStartup/com/javera/ui/GetPopupMenu.classpackage
com.javera.ui;
76. publicabstractinterface GetPopupMenu {
publicabstract javax.swing.JPopupMenu
getPopupMenu(java.awt.event.MouseEvent);
}
PainterStartup/com/javera/ui/GetPopupMenu.javaPainterStartup
/com/javera/ui/GetPopupMenu.java//Copyright 2004, (c) Javera
Software, LLC. as an unpublished work. All rights reserved wo
rld-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui;
import java.awt.event.MouseEvent;
import javax.swing.JPopupMenu;
publicinterfaceGetPopupMenu{
publicJPopupMenu getPopupMenu(MouseEvent e);
}
PainterStartup/com/javera/ui/GetText.classpackage
com.javera.ui;
publicabstractinterface GetText {
publicabstract String getText();
}
PainterStartup/com/javera/ui/GetText.javaPainterStartup/com/ja
vera/ui/GetText.java//Copyright 2004, (c) Javera Software, LLC
. as an unpublished work. All rights reserved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
77. package com.javera.ui;
/**
* GetText interface provides access to the getText() method us
ed by
* the default renderers for JvList and JvComboBox to get the te
xt to be
* displayed as an entry
*
* @author David T. Smith
*/
publicinterfaceGetText{
/**
* Get the text to be displayed by the renderer
* @ return the text to be displayed
*/
publicString getText();
}
PainterStartup/com/javera/ui/GetTransferable.classpackage
com.javera.ui;
publicabstractinterface GetTransferable {
publicabstract java.awt.datatransfer.Transferable
getTransferable();
}
PainterStartup/com/javera/ui/GetTransferable.javaPainterStartu
p/com/javera/ui/GetTransferable.java// Copyright 2004, (c) Jave
ra Software, LLC. as an unpublished work. All rights reserved
world-wide.
// This is a proprietary trade secret of Javera Software LLC. Us
e restricted to licensing terms.
package com.javera.ui;
78. import java.awt.datatransfer.Transferable;
/**
* @author dtsmith
*/
publicinterfaceGetTransferable{
/**
* @return
*/
Transferable getTransferable();
}
PainterStartup/com/javera/ui/GetValue.classpackage
com.javera.ui;
publicabstractinterface GetValue {
publicabstract Object getValue();
}
PainterStartup/com/javera/ui/GetValue.javaPainterStartup/com/j
avera/ui/GetValue.java//Copyright 2004, (c) Javera Software, L
LC. as an unpublished work. All rights reserved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui;
/**
* GetValue interface provides access to the getValue() method
used
* to obtain a value associated with an object
*
79. * @author David T. Smith
*/
publicinterfaceGetValue{
/**
* Get the contained object
* @return the contained object
*/
publicObject getValue();
}
PainterStartup/com/javera/ui/GuiListDataListener.classpackage
com.javera.ui;
publicabstractinterface GuiListDataListener extends
javax.swing.event.ListDataListener {
}
PainterStartup/com/javera/ui/GuiListDataListener.javaPainterSt
artup/com/javera/ui/GuiListDataListener.java// Copyright 2004,
(c) Javera Software, LLC. as an unpublished work. All rights re
served world-wide.
// This is a proprietary trade secret of Javera Software LLC. Us
e restricted to licensing terms.
package com.javera.ui;
import javax.swing.event.ListDataListener;
/**
* @author dtsmith
*/
publicinterfaceGuiListDataListenerextendsListDataListener{
}
80. PainterStartup/com/javera/ui/IconManager.classpackage
com.javera.ui;
publicsynchronizedclass IconManager {
static ClassLoader classLoader;
static java.util.Hashtable iconTable;
static void <clinit>();
public void IconManager();
publicstatic javax.swing.ImageIcon getIcon(String);
publicstatic javax.swing.ImageIcon getImageIcon(String);
}
PainterStartup/com/javera/ui/IconManager.javaPainterStartup/c
om/javera/ui/IconManager.java//Copyright 2004, (c) Javera Soft
ware, LLC. as an unpublished work. All rights reserved world-
wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui;
import java.net.*;
import java.util.Hashtable;
import javax.swing.ImageIcon;
/**
* IconManager provides a convenience class to load icons.
*
* @author David T. Smith
*/
publicclassIconManager{
staticClassLoader classLoader =IconManager.class.getClassLoa
der();
staticHashtable iconTable =newHashtable();
84. }
PainterStartup/com/javera/ui/layout/JvBoxLayout.classpackage
com.javera.ui.layout;
publicsynchronizedclass JvBoxLayout implements
java.awt.LayoutManager2, com.javera.ui.LayoutPrintLayout,
java.io.Serializable {
publicstaticfinal int X_AXIS = 0;
publicstaticfinal int Y_AXIS = 1;
private int axis;
private int gap;
private int topMargin;
private int bottomMargin;
private int leftMargin;
private int rightMargin;
private java.util.Map weightMap;
public void JvBoxLayout(int);
public void JvBoxLayout(int, int, int, int, int, int);
public int getGap();
public void setGap(int);
public int getTopMargin();
public void setTopMargin(int);
public int getLeftMargin();
public void setLeftMargin(int);
public int getBottomMargin();
public void setBottomMargin(int);
public int getRightMargin();
public void setRightMargin(int);
public void addLayoutComponent(java.awt.Component,
Object);
public java.awt.Dimension
maximumLayoutSize(java.awt.Container);
public float getLayoutAlignmentX(java.awt.Container);
public float getLayoutAlignmentY(java.awt.Container);
public void invalidateLayout(java.awt.Container);
85. public void addLayoutComponent(String,
java.awt.Component);
public void removeLayoutComponent(java.awt.Component);
public java.awt.Dimension
minimumLayoutSize(java.awt.Container);
public java.awt.Dimension
preferredLayoutSize(java.awt.Container);
public void layoutContainer(java.awt.Container);
publicstatic java.awt.Component createFiller(int, int);
public int layoutPrint(java.awt.Container, int);
}
PainterStartup/com/javera/ui/layout/JvBoxLayout.javaPainterSt
artup/com/javera/ui/layout/JvBoxLayout.java//Copyright 2004, (
c) Javera Software, LLC. as an unpublished work. All rights res
erved world-wide.
//This is a proprietary trade secret of Javera Software LLC. Use
restricted to licensing terms.
package com.javera.ui.layout;
import java.awt.Component;
import java.awt.Container;
import java.awt.Dimension;
import java.awt.Insets;
import java.awt.LayoutManager2;
import java.io.Serializable;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import javax.accessibility.Accessible;
import com.javera.ui.LayoutPrintLayout;
import com.javera.ui.LayoutPrint;
86. //import com.javera.ui.panel.JvPanel;
/**
* A Javera box layout arranges components in a vertical or hori
zontal format.
* For vertical format all components are resized to have the sa
me width of
* the container, but have a height that is in proportion to their a
ssigned
* weights and such that the total height of all compoenents fills
the height
* of the container. Likewise a horizontal format will resize co
mponents to
* have the same width as the container and a height that is in pr
oportion to
* the assigned weights. If a component has an assigned weight
of 0 then that
* components is sized according to its preferred size.
*
* Weights are assigned using a Double as the second argument
to the
* containers add method. A null second argument will be inter
preted as a
* zero weight assignement.
*
* A Javera box layout is similar in function to a Box layout exc
ept that the
* assigned weights, not glue or preferred sizes are used to distr
ibute space
* over the row or column. Javera box layout also provides gap
* separation and margins.
*
* @author David T. Smith
*/
publicclassJvBoxLayoutimplementsLayoutManager2,LayoutPrin
tLayout,Serializable{
87. /**
* Horizontal axis orientation
*/
publicfinalstaticint X_AXIS =0;
/**
* Vertical axis orientation
*/
publicfinalstaticint Y_AXIS =1;
/**
* The axis orientation of the weighted layout.
*/
privateint axis;
/**
* The weighted layout manager allows a seperation of compo
nents with
* gaps. The gap will specify the space between components.
*
* @serial
* @see getGap
* @see setGap
*/
privateint gap;
/**
* The weighted layout manager allows specification of a top
margin to be
* reserved above laidout components.
*
* @serial
* @see getTopMargin
* @see setTopMargin
*/
88. privateint topMargin;
/**
* The command button layout manager allows specification
of a bottom
* margin to be reserved below laidout components.
*
* @serial
* @see getBottomMargin
* @see setBottomMargin
*/
privateint bottomMargin;
/**
* The weighted layout manager allows specification of a left
margin to be
* reserved to the left of the leftmost component.
*
* @serial
* @see getLeftMargin
* @see setLeftMargin
*/
privateint leftMargin;
/**
* The weighted layout manager allows specification of a rig
ht margin to
* be reserved to the right of the rightmost component.
*
* @serial
* @see getRightMargin
* @see setRightMargin
*/
privateint rightMargin;
/**
89. * A Map of each component's weight, keyed on the compone
nt
* objects themselves.
*/
privateMap weightMap =newHashMap();
/**
* Constructs a new Weighted Layout with specified axis, a d
efault 5 pixel
* gap, and a 5 pixel margins.
*
* @param axis X_AXIS or Y_AXIS
*/
publicJvBoxLayout(int axis){
this(axis,5,5,5,5,5);
}
/**
* Constructs a new Weighted Layout with specified axis, gap
, and margins.
*
* @param axis X_AXIS or Y_AXIS
* @param gap the gap between components.
* @param topMargin the top margin.
* @param leftMargin the left margin.
* @param bottomMargin the bottom margin.
* @param rightMargin the right margin.
*/
publicJvBoxLayout(
int axis,
int gap,
int topMargin,
int leftMargin,
int bottomMargin,
int rightMargin){
this.axis = axis;
90. this.gap = gap;
this.topMargin = topMargin;
this.leftMargin = leftMargin;
this.bottomMargin = bottomMargin;
this.rightMargin = rightMargin;
}
/**
* Gets the gap between components.
*
* @return the gap between components.
*/
publicint getGap(){
return gap;
}
/**
* Sets the gap between components.
*
* @param gap the gap between components
*/
publicvoid setGap(int gap){
this.gap = gap;
}
/**
* Gets the top margin to be reserved above all components.
*
* @return the top margin.
*/
publicint getTopMargin(){
return topMargin;
}
/**
* Sets the top margin to be reserve above components.
91. *
* @param topMargin the top margin.
*/
publicvoid setTopMargin(int topMargin){
this.topMargin = topMargin;
}
/**
* Gets the left margin to be reserved to the left of the
* leftmost component.
*
* @return the left margin.
*/
publicint getLeftMargin(){
return leftMargin;
}
/**
* Sets the left margin to be reserved to the left of the
* leftmost component.
*
* @param leftMargin the left margin.
*/
publicvoid setLeftMargin(int leftMargin){
this.leftMargin = leftMargin;
}
/**
* Gets the bottom margin to be reserved below all componen
ts.
*
* @return the bottom margin.
*/
publicint getBottomMargin(){
return bottomMargin;
}
92. /**
* Sets the bottom margin to be reserve below components.
*
* @param bottomMargin the bottom margin.
*/
publicvoid setBottomMargin(int bottomMargin){
this.bottomMargin = bottomMargin;
}
/**
* Gets the right margin to be reserved to the right of the
* rightmost component.
*
* @return the right margin.
*/
COSC 210 - Object Oriented Programming
Assignment 7
Due: Nov 18th
The objectives of this assignment are to:
1) Gain further understanding and experience with inheritance.
2) Gain understanding and experience with polymorphism.
3) Gain further understanding and experience with interfaces.
4) Gain understanding and experience with low level graphics.
5) Modify an existing program to meet new requirements
applying concepts of objectives 1 through 4.
6) Gain experience with medium-size Java program.
7) Continue to practice good programming techniques.
93. AFTER YOU HAVE COMPLETED, create a zip file named
[your name]Assignment7.zip containing your entire project.
Upload the .zip file to Moodle. Printout all source files you
created or modified. Include a screen shot of the editor with
boxes, ellipses, lines and images shown in the editor. Turn-in
all printouts.
COSC 210 – Fundamentals of Computer Science
Assignment 7 Problem Statement
Updated
On the tomcat drive in folder cosc210 you will find file named
PainterStartup.zip. This file contains the source code for the
start of a Painter program. In its current state, Painter can
create boxes and text objects at given locations. Both boxes
and text objects can be repositioned and resized using a mouse.
The task is to add to the program the implementation for an
ellipse, line, image, and group objects.
Instructions:
1) Add an ellipse object. An ellipse is very similar in
implementation as the box, except it renders an oval instead of a
rectangle. The ellipse can be repositioned by dragging the
object to a new location. The ellipse can be resized by first
clicking over the ellipse to display grab handles and then
dragging a grab handle to a new position. The grab handles are
to be rendered at the same positions as the box. Likewise,
clicking anywhere in the smallest rectangle that encloses the
ellipse performs selection.
2) Add a Line object. A Line is to be created by selecting a
Line tool and then click and drag over the canvas. The line is
rendered from the point of the initial click to the mouse pointer.
On releasing the mouse the construction of the line object is
completed. Have the Line object inherit from
94. PtrDrawAbstractAreaObject. Thus it will have only two grab
handles.
A Line is selected by clicking anywhere over the line. Right
now if you click anywhere in the rectangular region hold the
line, then the line is selected. To accomplish this task,
override the isOver method in PtrDrawAbstractAreaObject.
Given below is a partial solution to determine if a mouse click
position (the x and y parameters to the isOver method) is over a
line:
double ratio = (double) getWidth() / (double) getHeight();
if (Math.abs((x - getX()) * ratio) - (y - getY()) <= 1) {
return true;
}
You need to modify this code when the y to x ratio is less than -
1 or greater than 1. (Hint: Inverse the roles of width and
height, and the roles of x and y)
3) Add an Image object. An Image object is created by
selecting an Image tool and then clicking anywhere on the
canvas. On clicking the canvas, a File Selection Dialog should
be displayed. The dialog prompts for selection of .gif and .jpg
files. On selecting a .gif or .jpg file and clicking “Open”, an
Image object that renders the image of the selected file is
created at the click position. Image selection and drag
behaviors are the same as a Box object. The image object
additionally renders lines at the edges of the image (as done in
Box).
95. The code for displaying a File Selection Dialog is:
JFileChooser fileChooser = new JFileChooser();
fileChooser.setFileFilter(new FileFilter() {
public boolean accept(File f) {
return f.isDirectory() ||
f.getName().toLowerCase().endsWith(".jpg")
|| f.getName().toLowerCase().endsWith(".gif");
}
public String getDescription() {
return "JPG & GIF Images";
}
});
if (fileChooser.showOpenDialog(editor) ==
JFileChooser.APPROVE_OPTION) {
ImageIcon image = new
ImageIcon(fileChooser.getSelectedFile().getAbsolutePath());
/* you will need to do stuff with your image here
*/
/* note the Graphics object has a method drawImage() */
96. }
Make sure to import FileFilter from the javax.swing.filechooser.
The above code is added to the PtrDrawImageTool
4) Add a group object. A group object represents a set of
objects that have been grouped together. A partial
implementation is provided. Your task is to fix the rendering.
The group object should draw each of the objects in the
groupedObjects list.
Before drawing any object your will need to create a new
graphics object that is transposed to the dimensions if the group
object itself. To do this use:
Graphics2D g2 = (Graphics2D) g.create(getX(), getY(),
getWidth(),
getHeight());
After drawing each of the objects in groupedObjects list, release
the resources used by the created graphics object by calling
dispose:
g2.dispose();
One more item, after creating the new graphics context and
before drawing each of the objects in the group, use scale as
follows:
g2.scale(getXScale(), getYScale());
This will insure that all objects get rendered as at the right scale
when the group object itself is resized.
5) Have the box, ellipse, line, and image implement the
Lineable and Colorable interface. Create instance variables as
97. needed to hold the values of the parameters. Before doing any
rendering of lines (e.g., any g.drawXXXX method) create a new
graphics context as follows:
Graphics2D g2 = (Graphics2D) g.create();
Then set the line width by:
g2.setStroke(new BasicStroke(lineWidth));
Also set the color to the lineColor:
g2.setColor(lineColor);
Use g2 to do the rendering of the lines. After all line rendering,
release the resources of the graphics context by calling
dispose();
In the corresponding tool object (e.g., PtrDrawBoxTool for
PtrDrawBox), after creating the draw object add the following
calls in the object:
box.setLineColor(editor.getLineColor());
box.setLineWidth(editor.getLineWidth());
6) Have the box and ellipse, line implement the Colorable
interface. Create instance variables as need to hold the value of
the parameter (color). Before doing any rendering of filled
areas (e.g., any g.fillXXXX method) set the graphics color to
the color instance variable:
g.setColor(color); // or use g2 if you have created a new
graphics context
In the corresponding tool object (e.g., PtrDrawBoxTool for
PtrDrawBox), after creating the draw object add the following
calls in the object:
98. box.setColor(editor.getColor());
Warning:
Your objects may not render correctly whenever they are
resized such that either the height or width is negative.
Bonus:
1) Bonus 5 points -The isInside method provides the
implementation for determining if the line is inside a
rectangular area as specified by the parameters. This code may
not work right if the ending point of the line is to the left or
above the starting point. Fix this to work in all cases for 3
bonus points.
2) Currently, if you click in the area where two objects overlap,
the object on the bottom is selected. Change this so that the top
object is selected. 3 bonus points.
3) On the Group object, clicking in anywhere in the bounding
rectangle will select the object. Change this so that a group is
only selected with clicking over an object in the group. 3 bonus
points
4) The south east grab handle processing is broken. Fix this to
behave as the other grab handles for 3 bonus points
5) Currently, if you drag the right hand side smaller than the
left (likewise the bottom smaller that the top) the objects may
not be displayed correctly (or even at all). Once in the bad
display state, clicking over the object no longer works. Second,
if you click in the region of overlapping object, the object on
the bottom gets selected. It should be the top object. Fix these
bugs. One possible solution is to add a normalizeRect method to
PtrDrawRect. This will adjust the x, y, width, and height
99. variables so that width and height are never negative. For
example if width is negative then change x to be the value of x
plus width and then change width to be the absolute value.
Place a call to this method in the corresponding setter methods
after updating the instance variables. (Note there may be
problems with the grab handles). 3 points bonus.