BUS310_L1_1.11.11 - Introduction Lecture 1: Lecture 1:...

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Lecture 1: Introduction
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Lecture 1: Outline 1. Syllabus Attached to Welcome E-mail Laulima (Resource section) 1. The “Big Picture”: A Statistics Overview – Descriptive and Inferential Statistics 1. Types of Variables: Categorical versus Numerical
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Syllabus: Course Objectives This is not a math class or a computing class. Calculus was removed as a requirement. Excel will do most of the calculating. This is a class that teaches how to analyze data to assist decision makers. à Recognize when data can help you, à Use Excel and analyze the results, à Communicate the results in simple terms. à This knowledge differentiates you in your business jobs
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Syllabus: Resources Laulima: Contains all course materials, assignments, and a discussion section Examples: Detailed PPT with instructions and Excel screenshots, Problem Sets (assignments), Data files, Practice exams with answer keys You can print out lecture Powerpoints before class and take notes Laulima
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Syllabus: Calendar First part of the course is about describing data How to create tables and charts How to describe a dataset Second part of the course discusses inferences from a sample to a population We have collected a set of 20 data points on our company’s products – what can we say about all of our products based on these data? Check syllabus for topics to be covered, chapter and sections, due dates for problem sets, exams Syllabus
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Syllabus Grading: Fixed grading scale Class is not curved … no competition for good grades Exams: Both Midterm and Final are open book and open notes Final is not cumulative Exams are interpretation-focused Problem recognition questions Questions referring to an appendix of results Syllabus
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Syllabus: Problem Sets Problem Sets are focused on practice Read carefully, especially the bold text Meet PS deadlines Due date Grace period until the next class (no deductions) 50% reduction if submitted BEFORE the next class No credit after this, since I will review the Problem Set / answers in class After the Problem Sets are graded and reviewed in class, you have an opportunity to redo them for full credit by the next class You can only redo everything, if it was complete the first time (otherwise, only partially) 7 lab classes (E102), in which we will do some of the Excel work for the Problem Sets together Problem Sets done in the lab classes will also be emailed to you afterwards You may bring your laptop to class to follow along with the problems Syllabus, PS1.doc
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Syllabus: Excel and PHStat2 Get started early, so I can help if problems occur. See p.4 of syllabus and PowerPoint slides 10-25 on
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This note was uploaded on 04/07/2011 for the course BUS 311 taught by Professor Reardon,j during the Spring '08 term at University of Hawaii, Manoa.

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BUS310_L1_1.11.11 - Introduction Lecture 1: Lecture 1:...

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