Jaggia S., Kelly, A. (2012). - City Vision University



Math 150Business StatisticsInstructors: Shirl Smith (primary), Andrew Sears (secondary)Email:ssmith@cityvision.edu, andrew@cityvision.eduPhone: (303)941-0375Course DescriptionThis course familiarizes students with the basic concepts of business statistics. This course emphasizes the practical application of descriptive and inferential statistics to decisions made in a managerial role. The following subjects are addressed in the course: data summarization and presentation, data analysis, test of hypotheses, discrete and continuous distributions, and estimation theory, simple and multiple correlations, regression analysis of variance. The student will apply the knowledge learned by completing and by accomplishing a research report summarizing an application of applied statistics from either the academic or the professional literature.Program OutcomesStudents will after completing this course, students will be able to:Examine statistical analysis of samplesCompute the measures of location and dispersion and interpret them for descriptive statistics.Demonstrate linear regression, multiple regression, correlation analysis, model building, model diagnosis, and time series regression using various models.Describe basic concepts of probability and applies the discrete and continuous distributions of probability. Constructing a hypothesis on one and two samples, performing one-way and two-way analysis of variance, Course ObjectivesAfter completing this course, students will be able to:Define statistics and identify its scope and limitations.Describe and apply the basic concepts in statistics.Apply the sampling methods and the Central Limit Theorem to perform statistical analyses of samples and to predict population pute and interpret measures of mean, mode, median and standard deviation.Represent the statistical data in different forms and interpret the different representations.Perform multiple regression and correlation analysis.Describe the basic concepts of probability.Describe and apply the discrete and continuous distributions of probability.Conduct hypothesis tests based on one or two samples.Apply nonparametric methods of statistical analysis.Perform time series regression using the information from the dataset.Perform model building and model diagnoses.Required Texts and Online ResourcesJaggia S., Kelly, A. (2012). Business Statistics: Communicating with Numbers. (1st Ed). N.Y. McGraw-Hill. ISBN: 0077501372Course OutlineWeekAssessmentsDue DateEst hrsTotal Grade Objective #’s1Statistics Overview-Quiz 1210Forum Assignment: Sample vs PopulationForum Assignment: SurveyCase Study Part 1: Identification: How Data Collection Works3384040502 Application of Knowledge: Probabilities- Quiz 2610Forum Assignment: ProbabilitiesForum Assignment: Application of Knowledge: Probabilities “Roll the Dice”5.55.540403 Discrete and Continuous Probability Distributions-Quiz 3210Forum Assignment: Discrete vs Continuous Random VariablesForum Assignment: Application of Knowledge: Experiment: probability334040Case Study Part 2: Effects of Distributions and Probabilities Week 38604 Central Tendency & Hypotheses Development-Quiz 4210Forum Assignment: Central Tendency640Case Study Part 3: Calculations-mean, mode, median, and standard deviation8755 Correlation and Regression-Quiz 5210Forum Assignment: Correlation and Regression: Case Study Part 4Forum Assignment: Variables: Case Study Part 5334040Case Study Part 6: Analysis81006Chi-squared and the f-Distribution00Forum Assignment: Outline for Peer Review: Case Study Part 7Forum Assignment: Chi- Square and f- Distribution7.57.540407 Research Project Proposal00Forum Assignment:. Ethical Considerations440Case Study Part 8: Final paper101258Week 8. Forum Assignment: Graph640OverallReflective Learning Survey116201000Grading SummaryQuizzes 50 of total gradeForums 400 of total gradeCase Study’s 530 of total gradeReflective Learning Survey 20 of total gradeForum ExpectationsWe expect that students will spend an estimated one-two hours to post one initial message, one hour to read posts from 5+ students (presumes that a student doesn't read every post), and an estimated 1 hour to post two reply messages. Forum grading will be based on the following items:Forum posts should be 250-400 words although these are not strict limits.Students must demonstrate comprehension of the material and achievement of the related learning objectives related to that forum. Be sure to read the learning objectives. Students should demonstrate critical thinking and use outside material researched beyond the assigned readings.The goal of course forums is to have scholarly dialog among peers combining both the strengths of in-person class discussion and providing concise, professional quality writing (similar to a well thought-out academic or scholarly blog) and responding in a way that adds value to others writingsStudents are not required to use APA format for references in forum posts, but instead students are encouraged to hyperlink relevant information when possible.Grading rubric: forums use the same high level grading rubric as for the final project includingContent Knowledge (25%)Critical Thinking (25%). Note that critical thinking is very different from munication (25%)Application (25%)Written WorkWriting should be for a business audience. Use the Business Plan Template for formatting. Please correct spelling and grammatical errors before submitting all assignments. Spelling, grammar, and writing style will be taken into consideration in evaluating written work. Assignments should be submitted to the Course Dropbox within Moodle. Every assignment should carry a filename that MUST include your name (Student Name) and the assignment number, e.g. Jan_Smith_Minor1.doc Written work must be reflective, balanced, scholarly analysis and be well-supported by references. Deep familiarity with the biblical text will be appreciated as will the ability to showcase extensive theological reading and reflection and to critically examine an issue from many points of view. Very informal or highly opinionated writing styles will be severely penalized. Do not preach.Late PolicyCoursework is scheduled over a seven-day week to provide structure for students residing on six continents. The weekly schedule begins on Monday at 12:01AM US ET (USA Eastern Time), and ends on Sunday at 11:59PM US ET.Assignments submitted more than 1 week late (after the following Sunday) will lose 1 letter grade (i.e. "A" becomes a "B")Assignments submitted more than 2 weeks late will lose 2 letter grades (i.e. "A" becomes a "C")All assignments and quizzes must be submitted by the week after the term ends or they will receive a failing gradeExtensions: professors may grant an extension if the student has a prolonged sickness or major family crisis. The length of the extension is up to the professor’s discretion. Applications for an extension should be sent to the professor at least 2 or more days before the due actual date. Extensions must be after a course ends submitted via the online extension request form. If an extension is granted, no other courses may be taken until that course is completed.Week Eight is the last class session with assignments posted. All course work must be completed by the student and submitted to the instructor by Friday of the eighth week of the course. No credit will be given for work submitted after this date. This syllabus is subject to change without notice up until the first day of the semester. For more academic policies, please visit: MaterialsWeek 1 Identification: How Data Collection Works Define statistics, data, population, sample, parameters. Week 2 Effects of Distributions and Probabilities on “Men’s Body Fat & Weight” Describe how probability relates to statistical research Week 3 Describe how distributions relate to statistical research Describe how distributions & probability would affect the analysis of the data used for the issue and discuss how discrete and continuous probability would affect your analysis. Week 4 Apply the process of developing a null and alternative hypothesis Discuss how central tendency measures are applied Week 5 Describe the relationship between variables Define correlation coefficient Apply correlation and regression conceptsWeek 6 Chi-Square and f-Distribution Identify how Chi- Square is applied Discuss the relationship of f- Distribution to hypothesis testing?Week 7.Apply statistics to the development of a research proposal Identify strengths and limitations of statistical analysis Discuss ethical considerations related to researchWeek 8.Identify graphs used to depict statistical Describe the use of graphs?Reflective Learning Survey ................
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