...100 Introduction to Criminal Justice Midterm Exam Answers Follow Link Below To Get Tutorial https://homeworklance.com/downloads/jadm-100-introduction-to-criminal-justice-midterm-exam-answers/ JADM 100 Introduction to Criminal Justice Midterm Exam Answers (TCO 1) Which model emphasizes individual rights? (TCO 1) Who returns an indictment? (TCO 1) Jake Robinson was convicted on a burglary and a drug offense. He was given a sentence of six years in prison for both offenses. These sentences were to run concurrently. How many years would he spend in prison? (TCO 1) The ________ collects information on crimes suffered by individuals and households, whether or not those crimes were reported to law enforcement. (TCO 1) Which of the following would be included in UCR/NIBRS murder statistics? (TCO 1) A juvenile who steals a candy bar and states “No one was really hurt,” is using which neutralization technique? (TCO 1) An 18th-century approach to crime causation and criminal responsibility that grew out of the Enlightenment and that emphasized the role of free will and reasonable punishments. (TCO 2) When a police officer induces a subject to commit a crime, a defendant will probably use: (TCO 2) Bob is sitting on a park bench minding his own business when an undercover police officer comes up to Bob and talks him into buying some marijuana. Then the officer arrests Bob for possession of marijuana. Bob can claim the defense of: (TCO 2) ________ is/are a person’s reason for...
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...This course examines the principles of probability and of descriptive and inferential statistics. Topics include probability concepts, measures of central tendency, normal distributions, and sampling techniques. The application of these principles to simple hypothesis testing methods and to confidence intervals is also covered. The application of these topics in solving problems encountered in personal and professional settings is also discussed. INSTRUCTIONAL MATERIALS Required Resources ALEKS Access Code (bundled with course text when purchased from the Strayer Bookstore) Bluman, A. G. (2013). Elementary statistics: a brief version (6th ed.). New York, NY: McGraw-Hill. Note: Course materials for this class must be purchased from the Strayer Bookstore at http://www.strayerbookstore.com Supplemental Resources Hand, D. J. (2008). Statistics: a very short introduction. Oxford, UK: Oxford University Press. Rumsey, D. (2011). Statistics for dummies (2nd ed.). Hoboken, NJ: Wiley Publishing. Standard Normal Distribution Table. (2012). Retrieved from http://www.mathsisfun.com/data/standard-normal-distribution-table.html Statistics Calculator Free App for your Smartphone, created by Christian Gollner. Retrieved from https://play.google.com/store/apps/details?id=com.cgollner&hl=en COURSE LEARNING OUTCOMES 1. Describe the differences between the various types of data. 2. Apply various descriptive graphical techniques. 3. Calculate measurements of central...
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...LOG OM 5300 Statistical Analysis for Business Decisions Syllabus Spring 2013 Section G01 (11477): T 1855-2135, 132 SSB Instructor: Dr. Alan C. Wheeler Office: ESH 230, 516-6136, awheel@umsl.edu Office hours: MW 1230-1330; T 1400-1500, 1745-1845; or by appointment Text: Statistics for Business and Economics, revised 11th edition, by David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams, South-Western Calculator: hand-held with keys for natural logarithm, mean, and standard deviation Course Description: The role of statistical evidence in the formation of inference and in the selection of strategies in solving business problems is developed. Probability and probability distributions are studied as a basis of statistical inference. An introduction to multivariate analysis is provided, which includes analysis of variance and regression methods. Specifically, the course covers in order most of the material in the following chapters of the text: Chapter Topic 1 Data and Statistics 2 Descriptive Statistics: Tabular and Graphical Presentations 3 Descriptive Statistics: Numerical Measures 4 Introduction to Probability 5 Discrete Probability Distributions 6 Continuous Probability Distributions 7 Sampling and Sampling Distributions 8 Interval Estimation 9 Hypothesis Tests 10 Statistical Inference About Means and Proportions With Two Populations 11 Inferences About Population Variances 12 Tests of Goodness of Fit...
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...University of Utah David Eccles School of Business Department of Operations and Information Systems (OIS) OIS - 2340-001, BUSINESS STATISTICS Class Times: Tuesday & Thursdays 12:25 pm – 1:45 pm Spencer Fox Eccles Business Building (SFEBB) -160 Fall Semester 2013, Course Syllabus ------------------------------------------------- How we run this class: ------------------------------------------------- To prepare and understand this material, you are invited to participate in class (by asking questions), read the text as specified in the class schedule and do the assigned HW problems. ------------------------------------------------- You can also watch the class video lectures using the link below for review or missed class. ------------------------------------------------- https://eq.utah.edu/u/items/acebb864-436f-458e-9c57-9353d655ec7e/0/ ------------------------------------------------- These lectures will be recorded during fall semester 2013 and will be posted as they are made available by the campus media services. The text used is Business Statistics –a decision making approach, 4th custom edition for David Eccles School of business or 9th edition by David Groebner’ Business Statistics. ------------------------------------------------- ------------------------------------------------- You will also be given online chapter quizzes which can be accessed through the CIS (CANVAS) system (https://cis.utah.edu). These chapter quizzes (“take homes”)...
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...techniques. Prerequisites: BQBA 2302. Learning Outcomes: Upon completion of this course, students will be able to: 1. Demonstrate an ability to read, analyze, and interpret business data 2. Use statistics to provide evidence in analyses and managerial decision making 3. Apply appropriate statistical techniques to analyze business and financial data MBA Program Learning Outcomes: 1. Master of Business Administration graduates will develop both analytical and creative approaches to problem solving within their dynamic industries using values-driven leadership. 2. Each graduate will recognize the role of management in the development and execution of corporate policy and strategic plans. 3. Graduates will have a comprehensive business foundation for business decision making and leading in rapidly changing business environments. Materials: 1. Textbook, Statistics for Business and Economics,12th Edition, by McClave, Benson, and Sincich ISBN: 978-0-321-82623-7 Materials: 2. Any scientific calculator Tests/Graded Work: 1. There will be two exams – a Midterm exam and a Final exam. The Final exam will be cumulative. If you must miss an exam for an excused absence, arrangements should be made in advance. In order to do well on an exam, be sure you have a clear understanding of all homework, quizzes, and lectures. Most importantly, do...
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...Office Hours: Tuesday 2 – 3 PM, Thursday 2:45 – 3:45 PM Email: rsufana@yorku.ca (Please include course number in subject line) LectureTime and Location: Thursday 11:30 – 2:30 PM, ACE 002 Prerequisite: AP/ECON 3210 3.00 or AP/ECON 3500 3.00 or equivalent. Course Credit Exclusions: None. PRIOR TO FALL 2009: Course credit exclusion: AK/ECON 4130 3.00. Course Description: This course is an introduction to financial econometrics. Background knowledge of finance is not required. The objective of the course is to explain, in simple terms, the use of selected statistical methods and econometric models in finance. The content of the course includes simple static and dynamic models of financial returns, elements of portfolio theory, the CAPM regression model, elements of option pricing, the Value-at-Risk (VaR), and the ARCH model. Weighting of Course: Assignment 1 (12.5% of final grade): available October 2, due at beginning of class on October 9 Midterm Exam (30% of final grade): October 16 Assignment 2 (12.5% of final grade): available November 20, due at beginning of class on November 27 Final Exam (45% of final grade): scheduled in the final exam period The midterm exam will cover material presented up to and including the class before the midterm, while the final exam will cover material from the entire course. Missed tests/exams: Students who miss the midterm exam (or an assignment) and...
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...COURSE INFORMATION Class Days: Friday Class Times: 1:00 to 3:40 PM Class Location: EBA 345 Blackboard: blackboard.sdsu.edu Office Hours Times (and by appointment): TH 3:30 – 5:00 F 3:45 – 5:00 Office Hours Location: EBA 322 Units: 3 Course Overview Statistical methods applied to business decision making. (Formerly numbered Information and Decision Systems 301.) The objective of this course is for students to achieve an understanding of fundamental statistical techniques and how they are applied to decision making and the scientific method. Greater emphasis is placed on the application and interpretation, as opposed to the mathematical derivation, of the techniques covered. The content of this course is essential for any student pursuing an undergraduate business major and any person involved in organizational decision making. This course is intended to help satisfy the Association to Advance Collegiate Schools of Business (AACSB) curriculum criterion for management specific knowledge in the area of “Statistical data analysis and management science as they support decision-making processes throughout an organization.” Student Learning Outcomes BSBA students will graduate being: • Effective Communicators • Critical Thinkers • Able to Analyze Ethical Problems • Global in their perspective • Knowledgeable about the essentials...
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...Stat 141 R1 - Lecture #35 Announcements: 1) Assignment #11 Question 5: The answer is wrong … should be “fail to reject” but MyStatLab wants “reject”... so give the wrong answer for full marks in this question 2) Exam: STAT 141 R1 3 hrs 1400 Wed Apr 17 MAIN GYM, ~45 Multiple Choice Questions Chapters 7, 8, 18-28 …. some pre MT skills will be required. Simple Linear Regression …. continued Last time: Ex) Predicting final exam marks (%) from midterm exam marks (%) in a class of 88 students: Student | #1 | #2 | … | #88 | Midterm mark | 67% | 72% | … | 88% | Final mark | 62% | 50% | … | 91% | Stat 141 R1 - Lecture #35 page 2 Given x = midterm percentage, y = final percentage, n=88, x = 67.812, y = 52.643, sx = 17.922, sy = 25.430, r = 0.718 ∑(yi–ŷi)2 = 27278.82 We had calculated: The slope and intercept of the sample line of best fit: * sample line of best fit: y= -16.443 + 1.019 x An estimate for σ (standard deviation about the population line): se Given SSE = ∑(yi–ŷi)2 = 27278.82 : se2=SSEn-2=27278.8288-2=317.196 →σ≈se=317.196=17.810 Stat 141 R1 - Lecture #35 page 3 Inference for the population slope β1 When the 4 basic assumptions of the SLR model are satisfied: o The relationship between x and y is sufficiently linear. Presuming linearity, this means, at any x, με = 0. o The std. dev. of ε is the same for any particular x (constant). o The...
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...Page 21 to 27 1. Discuss the differences between statistics as numerical facts and statistics as a discipline or field of study. 10. The Wall Street Journal (WSJ) subscriber survey (October 13, 2003) asked 46 questions about subscriber characteristics and interests. State whether each of the following questions provided categorical or quantitative data and indicate the measurement scale appropriate for each. a. What is your age? Quantitative b. Are you male or female? Categorical c. When did you first start reading the WSJ? High school, college, early career, midcareer, late career, or retirement? Categorical d. How long have you been in your present job or position? Quantitative e. What type of vehicle are you considering for your next purchase? Nine response categories include sedan, sports car, SUV, minivan, and so on. Categorical 15. The Food and Drug Administration (FDA) reported the number of new drugs approved over an eight-year period (The Wall Street Journal, January 12, 2004). Figure 1.9 provides a bar chart summarizing the number of new drugs approved each year. a. Are the data categorical or quantitative? Quantitative b. Are the data time series or cross-sectional? Data time series c. How many new drugs were approved in 2003? About 20 d. In what year were the fewest new drugs approved? How many? 2002 e. Comment on the trend in the number of new drugs approved by the FDA over the Eight-year period. The FDA approved of more new drugs between the years...
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...NORTHEASTERN UNIVERSITY - GRADUATE SCHOOL OF BUSINESS ADMINISTRATION MGSC 6200: DATA ANALYSIS Spring, 2015 Instructor Information Name: Dr. Nizar Zaarour E-mail address: n.zaarour@neu.edu Office: 214 Hayden Hall Office hours: Monday and Wednesday: 12 – 2 PM and by appointment. Course Overview The objectives of this course are: (1) To provide you with an understanding of statistical methods and techniques and their usefulness in the decision-making process, (2) To expose you to the methods of descriptive and inferential statistics and how can be used to solve business problems, (3) To improve upon your data analysis and computer skills, (4) To help you develop the skills to recognize the appropriate statistical tool to analyze business problems, and (5) To provide you with the necessary tools for critical evaluation, correct interpretation, and presentation of the results of statistical analyses. Textbook and Software 1) Business Statistics: For Contemporary Decision Making, 7th Edition, by Ken Black, (Wiley). 2) Microsoft Excel. Course Organization The course web page is located in the Blackboard system at http://blackboard.neu.edu. Course materials and announcements will be posted on the course site. A Blackboard tutorial is available at http://www.discoveringblackboard.neu.edu. The textbook is quite easy to read and covers a lot of ground. However, some of the topics are not covered in depth. Class discussions, handouts, and my lecture notes will fill these gaps. Course...
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...[pic] ISOM 491, Section 001 - Managerial Statistics Fall Quarter 2013, Monday 6:00 – 9:00 PM, Maguire Hall Room 330 Quinlan School of Business Policies: Class by Class/Week by Week Course Outline for ISOM 491 Tentative Course Outline: First Class (August 26, 2013) Chapter Topic Session (Week) 1 Introduction 1 Ethical Guidelines for Statistical Practice American Statistical Association (Handout) 2 Summarizing Data 1 3 Describing Data - Numerically…… 2 4 Describing Data – Exploring…….. 2 (Introduce concept of Stable Model) 5. Survey of probability ………… 3 (Emphasis - cross tabbing, (Omit Bayes' Theorem, i.e., Contingency Tables) pp 167-171) 6 Discrete Probability Distributions 3 (Emphasis Binomial) (Omit hypergeometric and poisson sections, pp 204-212) 7 Continuous Probability Distributions...
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...consider the current challenges to the economy. Textbook and Other Materials The textbook is MacroEconomics, by Andrew B. Abel, Ben S. Bernanke, and Dean Croushore, 8th edition. The MyEconLab system that comes with that textbook is required. Grades will be based on: 1. Three problem sets turned in on MyEconLab that will count for a total of 25 percent. The problem sets when turned in are graded immediately and you will have three chances to correct any mistakes and resubmit your answers. The first problem set will count for 5 percent, the second will count for 7.5 percent, and the last one for 12.5 percent of your grade. 2. Two in-class midterms, each of which will count for 25 percent each. The first midterm will be on Tuesday September 23, and the second midterm will be on Thursday, October 29. 3. A final exam, which will also count for 25 percent. There is no extra-credit work....
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...Introduction to Statistics Statistical Problems 1. A pharmaceutical Co. wants to know if a new drug is superior to already existing drugs, or possible side effects. 2. How fuel efficient a certain car model is? 3. Is there any relationship between your GPA and employment opportunities? 4. If you answer all questions on a (T, F) (or multiple choice) examination completely randomly, what are your chances of passing? 5. What is the effect of package designs on sales? 6. ………………….. Question??? 1. What is Statistics? 2. Why we study Statistics? Larson & Farber, Elementary Statistics: Picturing the World, 3e 2 STA 13- SYLLABUS Instructor Phone: MsC. Pham Thanh Hieu mobile:0917.522.383, email: hieuphamthanh@gmail.com Goals of To learn how to interpret statistical summaries appearing the course in journals, newspaper reports, internet, television …..and many real-world problems. To learn about the concepts of probability and probabilistic reasoning Understand variability and sampling distributions To learn how to interpret and analyze data arising in your own work (coursework and research) STA 13- SYLLABUS Grading: - One Midterms : 30% total, multiple choice exams, closed book exam, one sheet with handwritten notes (no larger than 9 ½ x 11, two sided) is allowed - Final Exam : 50% (multiple choice + short answer exam) comprehensive; closed book exam, two sheets with handwritten notes (no larger than 9 ½ x 11, two...
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...conducts an annual survey of subscribers in order to determine the best places to stay throughout the world. Table 1.6 shows a sample of nine European hotels (Cond Nast Traveler, January 2000). The price of a standard double room during the hotels high season ranges from $ (lowest price) to $$$$ (highest price). The overall score includes subscribers evaluations of each hotels rooms, service, restaurants, location/atmosphere, and public areas; a higher overall score corresponds to a higher level of satisfaction. (a) How many elements are in this data set? (b) How many variables are in this data set? (c) Which variables are qualitative and which variables are quantitative? (d) What type of measurement scale is used for each of the variables? 2. Refer to Table 1.6. (a) What is the average number of rooms for the nine hotels? (b) Compute the average overall score. (c) What is the percentage of hotels located in England? (d) What is the percentage of hotels with a room rate of $$? 3. All-in-one sound systems, called minisystems, typically include an AM/FM tuner, a dual- cassette tape deck, and a CD changer in a book-sized box with two separate speakers. The data in Table 1.7 show the retail price, sound quality, CD capacity, FM tuning sensitivity and selectivity, and the number of tape decks for a sample of 10 minisystems (Consumer Reports Buying Guide 2002). (a) How many elements does this data set contain? (b) What is the population? (c) Compute the average price for the sample. (d)...
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...In: Business and Management Mis Exam Chapter 01:An Introduction to Information Systems TRUE/FALSE 1. Information and data are essentially the same thing. ANS: F PTS: 1 REF: 5 2. Computers are required to organize or process data. ANS: F PTS: 1 REF: 7 3. Using a computer to forecast future sales and order more inventory before a shortage can occur is an example of information system feedback. ANS: T PTS: 1 REF: 12 4. A CBIS is a single set of hardware, software, databases, telecommunications, people, and procedures configured to collect, manipulate, store, and process data into information. ANS: T PTS: 1 REF: 12 5. The technology infrastructure is a set of shared IS resources that form the foundation of each computer-based information system. ANS: T PTS: 1 REF: 12 6. Today’s more advanced processor chips have the power of 1990s-era supercomputers. ANS: T PTS: 1 REF: 13 7. Teraflops is a measure of computer storage capacity. ANS: F PTS: 1 REF: 13 8. Application software such as Windows Vista and Windows Seven control basic computer operations such as start-up and printing. ANS: F PTS: 1 REF: 14 9. Software is needed for computers of all sizes from cell phones and small hand held devices to the largest supercomputers. ANS: T PTS: 1 REF: 14 10. Private cloud computing applications are available to everyone. ANS: F PTS: 1 REF: 15 11. Information about the documents on the Web and access to these documents are controlled...
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