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Casino En Ligne Francais Gratuit Quel Est Le Meilleur Casino
Assignments for MATH 222 general information The reading assignments are listed in the syllabus and on the last page of this document. You should read each assigned topic before the scheduled class meeting. If you miss a lecture, review the EagleVision session recording and/or the MyMathLab section videos. class participation Points for the class participation are accrued by accomplishing any of the activities listed below. You may choose which to accomplish but attendance alone is not sufficient to obtain the maximum number of points. a. 2 points for attending class (4 points for classes that meet once a week) b. 2 points for posting a question on the discussion board. c. 5 points for posting a correct answer to another student's question before the instructor posts an answer. d. 5 points for writing a critique of a video lecture (from an Embry-Riddle lecture CD, MyMathLab, Khan Academy or the publisher's DVD) or writing a short evaluation of an online math help web site (include the topic that you reviewed, how easy the web site was to use and how useful the information was). Reviews must be for videos that have not already been reviewed. The format for video critiques is posted in the General Info area on Blackboard. e. 10 points for the course orientation. Send an email to the instructor indicating that you have read and understand the material in the Orientation area of Blackboard (course syllabus, student responsibilities, course navigation guide and assignments). The orientation must be completed within the first two weeks of the term. f. 10 points for turning in a record of your study time for the term. The format for the study time record is posted in the General Info area on Blackboard. g. 10 points for being the first student to identify an error in the example or problem handouts. Notify the instructor by email before the lecture in which the example or problem is presented. h. 20 points for posting a personal introduction on the discussion board. i. 20 points for the writing exercise. The objective is to consider the significance of mathematics in your life and clearly express your ideas in a written form. Turn in your paper by attaching it to an email to the instructor. The orientation must be completed within the first three weeks of the term. Use a word processor to write a short (not more than a page) essay addressing the following points: 1. A short description of your experience with Blackboard and MyMathLab. Include what functions you are familiar with and what you like best and least. 2. Indicate which and how many semesters of the following high school and/or college math courses you completed with a passing grade: business math, pre-algebra, algebra, geometry, trigonometry, analytic geometry, pre-calculus, calculus, probability and statistics 3. Why math skills are still/more/less important than in the past. 4. What you plan to get out of this course. 5. On a weekly basis, what is a reasonable amount of time to spend studying for this course. Will you likely require more or less than that amount of time? What can you do to ensure that you can adequately prepare? 6. What the instructor or Embry-Riddle staff can do to enhance your learning experience in this course? j. 20 points for completing the course survey in Blackboard at the end of the term. The course survey is specific to this course and is in addition to the Embry-Riddle end of course critique. There are no hard due dates for the exams or homework problem sets. It is in your best interest to avoid falling behind and complete the homework before taking an exam. exams Exams are scheduled in the syllabus and are accomplished in MyMathLab. Click the Quizzes & Tests button and select the desired exam. The format and problems are similar to the homework problems but the help buttons are not available. You will be able to review your results when you complete the exam. You may also review your results by going to the grade book and clicking on the review link for the exam. problem sets There are two problem sets in MyMathLab: Homework and the Study Plan. The homework problem sets are graded, the study plan problem sets are optional and are not graded. Online help and examples are available in MyMathLab. There is a graded homework assignment in MyMathLab for each chapter as well as a MyMathLab orientation. Click the Homework button and select the desired chapter. MyMathLab will allow you to attempt most problems three times before providing the correct answer. If you fail to obtain the correct answer, you may make another attempt at the problem by clicking the Similar Exercise button. You may save your work at any time and return to the homework problems later. An incorrect answer will cause problems to be identified in your MyMathLab study plan to help you master the objective. There is a problem set in the Study Plan for each section of the text. The Study Plan problems are available to assist you in mastering the course objectives and there is no specific assignment. These problems are ungraded. projects There are two computer projects assigned for MATH 222. Project instructions, data and due dates can be found by clicking the Projects menu item in the Course Content area of Blackboard. MATH 222 assignments from Berenson, Basic Business Statistics, 11th ed For each class meeting the following topics and sections from the textbook are assigned. Note that for classes that meet once a week, there are two assignments for each class meeting. Mon Oct 17 introduction 1.1-1.6 Mon Nov 14 estimating a population proportion 8.3-8.4,8.6 Mon Oct 17 summarizing data 2.1-2.6 Mon Nov 21 hypothesis testing of means, exam, ch 7-8 9.1-9.3 Mon Oct 24 descriptive measures 3.1-3.6 Mon Nov 21 hypothesis testing of proportions 9.4-9.6 Mon Oct 24 probability, exam, ch 1-3 4.1-4.2 Mon Nov 28 two sample tests 10.1-10.3 Mon Oct 31 discrete distributions 5.1,5.3 Mon Nov 28 analysis of variance, exam, ch 9-10 11.1 Mon Oct 31 normal distribution 6.1-6.3 Mon Dec 5 chi-square tests 12.1-12.3 Mon Nov 7 sampling methods, exam, ch 4-6 7.1-7.2 Mon Dec 5 regression 13.1-13.4 Mon Nov 7 sampling distributions 7.3-7.5 Mon Dec 12 regression 13.7-13.8 Mon Nov 14 estimating a population mean 8.1-8.2 Mon Dec 12 final examination