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4d) Describe or draw the correct parse tree for the most natural interpretation of the following English sentence: She took the lesson to heart Question 4 (a) A sentiment analyzer that predicts if a product review is positive, negative or neutral produces the following confusion matrix: Calculate the following: (i) Precision and recall for each class [6] (ii) Micro average precision and macro average precision. Why do they differ? [4] (iii) F measure for each class [6] (b) You are designing a text classifier to identify fraudulent insurance claims and your initial prototype returns an accuracy of 97%. Why might this figure be misleading? Suggest two strategies for dealing with this situation [5] (c) What techniques might you use to deal with typographic errors in search queries? Suggest one method based on distributional techniques and another based on a more rule-based or algorithmic approach. [4] (d) Describe or draw the correct parse tree for the most natural interpretation of the following English sentence: 'She took the lesson to heart'.[5].

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Lesson 4 Advanced Spreadsheet Skills/Post-Test

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Answer all 20 questions. Make sure your answers are as complete as possible, particularly when it asks for you to show your work. Answers that come straight from calculators, programs or software packages without any explanation will not be accepted. If you need to use technology (for example, Excel, online or hand-held calculators, statistical packages) to aid in your calculation, you must cite the sources and explain how you get the results. For example, state the Excel function along with the required parameters when using Excel; describe the detailed steps when using a hand-held calculator; or provide the URL and detailed steps when using an online calculator, and so on. Record your answers and work on the separate answer sheet provided. This exam has 20 problems; 5% for each problems. STAT 200: Introduction to Statistics Final Examination, Fall 2019 OL1 1. You wish to estimate the mean cholesterol levels of patients two days after they had a heart attack. To estimate the mean, you collect data from 28 heart patients. Justify for full credit. (a) Which of the followings is the sample? (i) Mean cholesterol levels of 28 patients recovering from a heart attack suffered two days ago (ii) Cholesterol level of the person recovering from heart attack suffered two days ago (iii) Set of all patients recovering from a heart attack suffered two days ago (iv) Set of 28 patients recovering from a heart attack suffered two days ago (b) Which of the followings is the variable? (i) Mean cholesterol levels of 28 patients recovering from a heart attack suffered two days ago (ii) Cholesterol level of the person recovering from heart attack suffered two days ago (iii) Set of all patients recovering from a heart attack suffered two days ago (iv) Set of 28 patients recovering from a heart attack suffered two days ago 2. Choose the best answer. Justify for full credit. (a) The Knot.com surveyed nearly 13,000 couples, who married in 2017, and asked how much they spent on their wedding. The average amount of money spent on was $33,391. The value $33,391 is a: (i) parameter (ii) statistic (iii) cannot be determined from information provided. (b) A marketing agent asked people to rank the quality of a new soap on a scale from 1 (poor) to 5 (excellent). The level of this measurement is (i) nominal (ii) ordinal (iii) interval (iv) ratio 3. True or False. Justify for full credit. (a) If the variance from a data set is zero, then all the observations in this data set must be identical. (b) The median of a normal distribution curve is always zero. 4. A STAT 200 student is interested in the number of credit cards owned by college students. She surveyed all of her classmates to collect sample data. (a) What type of sampling method is being used? (b) Please explain your answer. 5. A study was conducted to determine whether the mean braking distance of four-cylinder cars is greater than th ...

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OPTION 3: Confidence Interval on the Mean – one sample (T-Interval) A) Introduction – introduce the topic and yourself: 5% of score Explicitly identify the following: 1) Parameter of interest: __________________________ 2) Population of interest (be as specific as necessary): ___________________________ 3) Variable of interest: _____________________________ 4) Then write a paragraph or two of introduction to your paper. In the paragraph, include at least the following information: Your research objective, your interest in the topic. Describe in detail where you found your sample and specifically how you chose which individuals to survey. B) Data Sets – Present your organized data and sample statistics: 15% 1) DATA SET A: a) Show the frequency distribution of your full data set. Call it Data Set A. It must have at least 80 individuals: n > 80. You can use either a table or a histogram to show the distribution: Identify b) sample size: __________ c) mean :___________ d ) standard deviation: ____________ e) Estimated Standard Error of the means (SE): ______________________. Round each to four decimal places if needed. 2) DATA SET B: Select some of the data points from Data Set A to create smaller data set. Call this Data Set B. It should have about half of the values from Data Set A. a) Show the frequency distribution of Data Set B. You can use either a table or a histogram to show the distribution. USE THE SAME GROUPING (CLASSES) FOR EACH DATA SET: Identify b) sample size: __________ c) mean :___________ d ) standard deviation: ____________ e) Estimated Standard Error of the means (SE): ______________________. Round each to four decimal places if needed. f) Describe specifically how you chose the individuals from Data Set A to create Data Set B. 3) DATA SET C: Select between 10 and 20 data values from Data Set A to create a still smaller data set. Call this Data Set C. a) Show the frequency distribution of Data Set C. You can use either a table or a histogram to show the distribution. USE THE SAME GROUPING (CLASSES) FOR EACH DATA SET Identify b) sample size: __________ c) mean :___________ d ) standard deviation: ____________ e) Estimated Standard Error of the means (SE): ______________________. Round each to four decimal places if needed. f) Describe specifically how you chose the individuals from Data Set A to create Data Set C. C) The Intervals – Construct the Confidence Intervals for three different sample sizes and three different levels of confidence: 45% 1) Degrees of freedom (df) – determine the degrees of freedom for each Data Set. Data Set A: df = __________ Data Set B: df = __________ Data Set C: df = __________ 2) Choose three confidence levels, between 80% and 99%. C-level 1: __________ C-level 2: __________ C-level 3: __________ 3) Determine for each level of confidence you chose. .

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Assignment 2: Organizational Risk Appetite and Risk Assessment Due Week 4 and worth 50 points Imagine that a software development company has just appointed you to lead a risk assessment project. The Chief Information Officer (CIO) of the organization has seen reports of malicious activity on the rise and has become extremely concerned with the protection of the intellectual property and highly sensitive data maintained by your organization. The CIO has asked you to prepare a short document before your team begins working. She would like for you to provide an overview of what the term “risk appetite” means and a suggested process for determining the risk appetite for the company. Also, she would like for you to provide some information about the method(s) you intend to use in performing a risk assessment. Write a two to three page paper in which you: 1. Analyze the term “risk appetite”. Then, suggest at least one practical example in which it applies. 2. Recommend the key method(s) for determining the risk appetite of the company. 3. Describe the process of performing a risk assessment. 4. Elaborate on the approach you will use when performing the risk assessment. 5. Use at least three quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources. Your assignment must follow these formatting requirements: · This course requires use of Strayer Writing Standards (SWS). The format is different than other Strayer University courses. Please take a moment to review the SWS documentation for details. · Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. The specific course learning outcomes associated with this assignment are: · Describe the components and basic requirements for creating an audit plan to support business and system considerations. · Describe the parameters required to conduct and report on IT infrastructure audit for organizational compliance. · Use technology and information resources to research issues in security strategy and policy formation. · Write clearly and concisely about topics related to information technology audit and control using proper writing mechanics and technical style conventions. Assignment 3: Evaluating Access Control Methods Due Week 6 and worth 50 points Imagine that you are the Information Systems Security Specialist for a medium-sized federal government contractor. The Chief Security Officer (CSO) is worried that the organization's current methods of access control are no longer sufficient. In order to evaluate the different methods of access control, the CSO requested that you research: mandatory access control (MAC), discretionary access control (DAC), and role-based access control (RBAC). Then, prepare a report addressing positive and negative aspects of each access control me.

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This paper demonstrates that a lot of time, cost, and complexities can be saved and avoided that would otherwise be used to label the text data for classification purposes. The AI world realizes the importance of labelled data and its use for various NLP applications. Here, we have labelled and categorized close to 6,000 unlabelled samples into five distinct classes. This labelled dataset was further used for multi-class text classification. Data labelling task using transformer-based sentence embeddings and applying cosine-based text similarity threshold saved close to 20-30 days of human efforts and multiple human validations with 98.4% of classes correctly labelled as per business validation. Text classification results obtained using this AI labelled data fetched accuracy score and F1 score of 90%.

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1. What did you learn about this structure that was a surprise to you or resonated with you about building relationships in the workplace? Did the people who built this wall have to work together? Are there any lessons to be learned about building relationships across philosophical divides (differing world views) in the workplace? 1 paragraph supporting these questions Note: Please avoid comments or references to the southern border between Mexico and the USA. This is a highly controversial subject and your comments may be taken out of context and appear as harassment. Any comments about the southern border or Mexico will be immediately removed and points deducted from your score. 2. Describe the purpose of the Hajj and share two interesting aspects of this event. Explain the relationship between Mohammad and the Dome of the Rock. What happened at the Dome of the Rock? 1 paragraph supporting this 3. Consider the following products: Coca-Cola Classic, Apple Iphone, Nike basketball shoes, and Loreal Shampoo. Products offered by a business can be actual goods, services, and ideas. · Pick one of the products above, identify two competitors, and what they offer that competes with your product. · For your product, describe the unique selling proposition. How is this product superior to the competitors you identified above. Requirements: Make sure you Respond to both bullets, in at least 4 Good Sentences per bullet, making sure you address all points of each bullet. 4. Consider the following brands: McDonalds, Cadillac, and WalMart. · When you think of a brand, it makes you think and feel a certain way. Those images are carefully crafted by Brand Managers. So for this discussion, choose one of the brands listed here and discuss what words, feelings and images immediately come to mind when you hear the brand name or see the brand logo. · Then discuss how the marketers have created these ‘feelings’ and thoughts for consumers and why you think they created them. Requirements-: Make sure you Respond to both bullets, in at least 4 Good Sentences per bullet, making sure you address all points of each bullet. 5. It is very important to make sure that you align your pricing strategy with your target market and branding strategy. Below are various different businesses and pricing strategies. · Match each business with the pricing strategy that you believe the business is using. · Discuss why you think the business is using the pricing strategy that you did. Pricing Strategy Penetration Pricing Pricing Skimming Premium Pricing Competitive Pricing Economy Pricing Promotional Pricing Business Bentley Motors Motorola Kohl’s Dish Network Requirements: You need at least 2 full original sentences per business, telling what pricing strategy you selected and why you selected the pricing strategy you did for the business. A total of at least 8 full sentences will be needed. Required Uniform Assignment:Topic Search St.

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5.27 Company H has an insurance policy for which it pays an annual premium of $1,000. During 19B, the cash surrender value increased from $300 to $400. Prepare an entry for the payment of the insurance premium 5.28 When the chief executive officer of Corporation K died, the company received insurance benefits of $500,000. At this time, the cash surrender value was $150,000. Prepare an entry for the receipt of the insurance benefits.

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5.1.a Contrast the functions of the DNA and protein components of chromosomes. 5.1.b Explain why biologists initially thought that proteins were the most likely carriers of genetic information. 5.1.c Describe how, experimentally, researchers demonstrated that DNA carries genetic information. 5.1.d Distinguish between the bonds that link together the subunits in a single strand of DNA and those that hold together the two strands in a DNA double helix, and summarize how these bonds affect the behavior of the DNA molecule. 5.1.e Describe complementary base-pairing and explain how this arrangement gives rise to the twisting, consistently proportioned, double helical structure of DNA. 5.1.f Describe the chemical differences that dictate the polarity of a DNA strand. 5.1.g Explain how the structure of DNA carries information for producing proteins. 5.1.h Explain how the structure of DNA suggests a mechanism by which genetic information can be copied. THE STRUCTURE OF EUKARYOTIC CHROMOSOMES 5.2.a Contrast prokaryotic and eukaryotic chromosomes in terms of structure and specialized sequence elements. 5.2.b Describe how human chromosomes can be distinguished from one another and how such information can be of value. 5.2.c Recall how many molecules of DNA are in each eukaryotic chromosome. 5.2.d Describe a full complement of human chromosomes in a diploid somatic cell, including sex chromosomes. 5.2.e Define the terms "gene" and "genome." 5.2.f Describe the relationship among gene number, genome size, and organismal complexity. 5.2.g Explain why much "junk DNA" is thought to serve a biological function. 5.2.h Compare the roles played by centromeres, telomeres, and replication origins. 5.2.i Explain the organization and attachments that keep interphase chromosomes from becoming extensively entangled. 5.2.j Describe the structure and function of the nucleolus. 5.2.k Contrast the extents of compression in interphase and mitotic chromosomes. 5.2.l Compare the roles played by non-histone proteins and histone proteins (including histone H1) in the packaging of chromatin. 5.2.m Distinguish between a nucleosome and a nucleosome core particle. 5.2.n Explain how histone proteins are able to bind tightly to DNA. THE REGULATION OF CHROMOSOME STRUCTURE 5.3.a Explain how chromatin-remodeling complexes and histone-modifying enzymes regulate the accessibility of DNA. 5.3.b Explain why a cell might decondense a particular segment of DNA. 5.3.c Contrast euchromatin and heterochromatin in terms of structure, gene activity, and location along an interphase chromosome. 5.3.d Explain how heterochromatin is established and spreads. 5.3.e Explain how heterochromatin participates in gene silencing and provide an example..

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5.2 Pars a Mosc. En su programa de estudios de verano en el extranjero en Europa, se queda dos semanas ms para viajar de Pars a Mosc. Te vas de Pars con 2 coma 200 euros (euro o EUR) en tu rionera. Al querer cambiar todo esto por rublos rusos (R o RUB), obtiene las siguientes cotizaciones: Tasa al contado USD es igual a 1,00 EUR (o $/euro) 1,1187 Tasa al contado RUBequals=1.00 USD (o R/$) 61.96 a. Cul es el tipo de cambio del rublo ruso al euro? b. Cuntos rublos rusos obtendrs por tus euros?.

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5. Cyanobacteria live mostly in aquatic habitats but they can also be found on landin deserts of all places! They lie dormant for much of the year, as it is so dry, but when it rains they become active metabolically. Although rain is good for them, it is potentially harmful for us, because these desert cyanobacteria produce harmful toxins that can be kicked up in dust storms. One might guess that the concentration of these harmful toxins is highest in soil just after it rains. To test this, imagine running an experiment in which you have four treatment groups: 1.) intact/unwatered; 2.) disturbed/unwatered; 3.) intact/watered; and 4.) disturbed/wateredwhere intact means that the surface layer of desert soil is left in place and disturbed means that 0.5cm from the surface has been scraped off, and watered versus unwatered means what it sounds like. You have a sample size of 5 in each treatment group. After ten days of watering or not watering, you measure the average concentration of the toxin in each treatment group and compare the four averages. The null hypothesis is that the mean toxin concentrations are equal across the four treatment groups. You perform a Kruskal-Wallis H test, which is a null-hypothesis significance test. The critical value for this experiment at the 0.05 level is H = 7.4; at the 0.01 level it is H = 9.8. For your data, the observed H = 10.6. First, in light of these results, what decision should you make, and second, how would you write that result up in a single sentence for the Results section of a scientific paper?.

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41. a and b 41. Introductory Statistics Course Withdrawals. A university found that 20% of its students withdraw without completing the introductory statistics course. Assume that 20 students registered for the course. a. Compute the probability that 2 or fewer will withdraw. b. Compute the probability that exactly 4 will withdraw. c. Compute the probability that more than 3 will withdraw. d. Compute the expected number of withdrawals..

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5. Design and implement a method contains 2 for BinarySearchTree, functionall equivalent to the contains method, that does not use recursion. show the driver code and do this in java this is the binarysearchtree import java.util.*; // Iterator, Comparator public class BinarySearchTree implements BSTInterface { protected BSTNode root; // reference to the root of this BST protected Comparator comp; // used for all comparisons protected boolean found; // used by remove public BinarySearchTree() // Precondition: T implements Comparable // Creates an empty BST object - uses the natural order of elements. { root = null; comp = new Comparator() { public int compare(T element1, T element2) { return ((Comparable)element1).compareTo(element2); } }; } public BinarySearchTree(Comparator comp) // Creates an empty BST object - uses Comparator comp for order // of elements. { root = null; this.comp = comp; } public boolean isFull() // Returns false; this link-based BST is never full. { return false; } public boolean isEmpty() // Returns true if this BST is empty; otherwise, returns false. { return (root == null); } public T min() // If this BST is empty, returns null; // otherwise returns the smallest element of the tree. { if (isEmpty()) return null; else { BSTNode node = root; while (node.getLeft() != null) node = node.getLeft(); return node.getInfo(); } } public T max() // If this BST is empty, returns null; // otherwise returns the largest element of the tree. { if (isEmpty()) return null; else { BSTNode node = root; while (node.getRight() != null) node = node.getRight(); return node.getInfo(); } } private int recSize(BSTNode node) // Returns the number of elements in subtree rooted at node. { if (node == null) return 0; else return 1 + recSize(node.getLeft()) + recSize(node.getRight()); } public int size() // Returns the number of elements in this BST. { return recSize(root); } public int size2() // Returns the number of elements in this BST. { int count = 0; if (root != null) { LinkedStack> nodeStack = new LinkedStack>(); BSTNode currNode; nodeStack.push(root); while (!nodeStack.isEmpty()) { currNode = nodeStack.top(); nodeStack.pop(); count++; if (currNode.getLeft() != null) nodeStack.push(currNode.getLeft()); if (currNode.getRight() != null) nodeStack.push(currNode.getRight()); } } return count; } private boolean recContains(T target, BSTNode node) // Returns true if the subtree rooted at node contains info i such that // comp.compare(target, i) == 0; otherwise, returns false. { if (node == null) return false; // target is not found else if (comp.compare(target, node.getInfo()) < 0) return recContains(target, node.getLeft()); // Search left subtree else if (comp.compare(target, node.getInfo()) > 0) return recContains(target, node.getRight()); // Search right subtree else return true; // target is found } public boolean contains (T target) // Returns true if this BST contains a node with info i such that // comp.compare(target, i) == 0; otherwise, re.

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7. Para comprender mejor la prehistoria de la isla hawaiana de Lana'i, los antroplogos Maria Sweeney, Melinda Allen y Boyd Dixon utilizaron la datacin por radiocarbono del carbn encontrado en una antigua vivienda, el Monumento Histrico Nacional de Kaunolu Village, el monumento arqueolgico ms grande complejo en la isla. En una de sus muestras, encontraron que quedaba aproximadamente el 94% del carbono 14 original. Utilizando el hecho de que el carbono 14 se descompone en un 1,202 % cada 100 aos, determine la edad aproximada de esta muestra. a. En su documento de Word, pegue la tabla de Excel que hizo para obtener su respuesta. b. Usando logaritmos, estime la edad de la muestra. Muestra al menos 2 decimales en tu respuesta..

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7. Lawn Spray Inc. desarrolla y produce equipos de pulverizacin para el mantenimiento del csped y usos industriales. El 31 de enero del ao en curso, Lawn Spray Inc. readquiri 18,000 acciones de su capital social Las acciones en circulacin cuando una corporacin ha emitido solo una clase de acciones. a $19 por accin. El 14 de junio se vendieron 13,500 de las acciones readquiridas a $27 por accin y el 23 de noviembre se vendieron 3,200 de las acciones readquiridas a $20. Requerido: Capital aportado a una corporacin por los accionistas y otros. CATLOGO DE CUENTAS rociador de csped inc. Libro mayor ACTIVOS 110 Dinero 120 Cuentas por cobrar 131 Documentos por cobrar 132 Intereses por cobrar 141 Inventario de mercanca 145 Material de oficina 151 Seguro prepagado 181 Tierra 193 Equipo 194 Depreciacin Acumulada-Equipos PASIVO 210 Cuentas por pagar 221 Pagar 226 Los intereses a pagar 231 Dividendos en Efectivo por Pagar 241 Salarios por Pagar 261 Pagar hipotecario EQUIDAD 311 Acciones comunes 312 Capital pagado en exceso de la par-acciones ordinarias 315 Autocartera 321 Acciones preferentes 322 Capital pagado en exceso de acciones preferentes a la par 331 Capital pagado por venta de acciones propias 340 Ganancias retenidas 350 Dividendos en acciones distribuibles 351 Dividendos en efectivo 352 Dividendos en acciones 390 Resumen de ingresos.

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