...CCST9039 Statistics and Our Society (2014-2015, 2nd Semester) Prof. W. K. LI Department of Statistics and Actuarial Science The University of Hong Kong Chapter 1: The Genesis of Statistics Part 1/2: The Genesis of Statistics Prof. W. K. LI (SAAS) CCST9039 (14-15, 2nd) Chapter 1, part 1/2 1 / 17 (I) The Genesis of Statistics What is Statistics ? Why bother ? Origin of the word same as “Status” = State i.e. Collection of figures that describe the situation of the state Ancient records of statistical activities: Babylon, the Old Testament, · · · · · · . Prof. W. K. LI (SAAS) CCST9039 (14-15, 2nd) Chapter 1, part 1/2 2 / 17 (I) The Genesis of Statistics From the book of “Numbers” in the Old Testament (1300BC?) “And the Lord spake unto Moses in the wilderness of Sinai, in the tabernacle of the congregation, on the first day of the second month, in the second year . . . saying, Take ye the sum of all the congregation to the children, after their families, by the house of their fathers, with the number of their names, every male by their polls; From twenty years old and upward, all that are able to go forth to war in Israel; thou and Aaron shall number them by their armies” A Census ! Prof. W. K. LI (SAAS) ( ) (Latin – “censere” means to tax) CCST9039 (14-15, 2nd) Chapter 1, part 1/2 3 / 17 From Moore & Notz (2009) Prof. W. K. LI (SAAS) CCST9039 (14-15, 2nd) Chapter 1, part 1/2 4 / 17 (I) The Genesis of Statistics The word...
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... | |INSTRUCTOR |Dr. Edward Olanrewaju | |COHORT NUMBER |MBA 3174 | |COURSE NUMBER |BSA -518 | |COURSE TITLE |Business Research and Applications | |MEETING DATES |1/20/2016, 1/27, 2/03, 2/10, 2/17, 2/24, 03/02, 03/09, 03/16, 03/23 | |CLASS MEETING TIMES |6:00PM to 10:00PM | |LOCATION |Innsbrook/122 | |CONSULTATION HOURS |By Appointment | |PHONE HOME |804 305 6734 | |PHONE WORK ...
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...Notes for Statistics 3011 University of Minnesota Fall 2012 Section 010 Instructor: Shanshan Ding Notes accompany the Third Edition of Statistics: The Art and Science of Learning From Data by Alan Agresti and Christine Franklin Contents CHAPTER 9: HYPOTHESIS TESTS 9.1 Elements of a Hypothesis Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.2 Normal Hypothesis Test for Population Proportion p . . . . . . . . . . . . . . . . . . 9.3 The t-Test: Hypothesis Testing for Population Mean µ . . . . . . . . . . . . . . . . . 9.4 Possible Errors in Hypothesis Testing . . . . . . . . . . . . . . . . . . . . . . . . . . 9.5 Limitations and Common Misinterpretations of Hypothesis Testing . . . . . . . . . . 1 1 6 10 15 17 Stat 3011 Chapter 9 CHAPTER 9: HYPOTHESIS TESTS Motivating Example A diet pill company advertises that at least 75% of its customers lose 10 pounds or more within 2 weeks. You suspect the company of falsely advertising the benefits of taking their pills. Suppose you take a sample of 100 product users and find that only 5% have lost at least 10 pounds. Is this enough to prove your claim? What about if 72% had lost at least 10 pounds? Goal: 9.1 Elements of a Hypothesis Test 1. Assumptions 2. Hypotheses Each hypothesis test has two hypotheses about the population: Null Hypothesis (H0 ): Alternative Hypothesis (Ha ): 1 Stat 3011 Chapter 9 Diet Pill Example: Let p = true proportion of diet pill customers that lose at least...
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...Part I (Chapters 1 – 11) MBA 611 STATISTICS AND QUANTITATIVE METHODS Part I. A. Review of Basic Statistics (Chapters 1-11) Introduction (Chapter 1) Uncertainty: Decisions are often based on incomplete information from uncertain events. We use statistical methods and statistical analysis to make decisions in uncertain environment. Population: Sample: A population is the complete set of all items in which an investigator is interested. A sample is a subset of population values. & Example: Population - High school students - Households in the U.S. Sample - A sample of 30 students - A Gallup poll of 1,000 consumers - Nielson Survey of TV rating Random Sample: A random sample of n data values is one selected from the population in such a way that every different sample of size n has an equal chance of selection. & Example: Random Selection - Lotto numbers - Random numbers Random Variable: A variable takes different possible values for a given subject of study. Numerical Variable: A numerical variable takes some countable finite numbers or infinite numbers. Categorical Variable: A categorical variable takes values that belong to groups or categories. Data: Data are measured values of the variable. There are two types of data: quantitative data and qualitative data. 1 Part I (Chapters 1 – 11) Quantitative Data: Qualitative Data: & Example: 1. 2. 3. 3. 4. 5. 6. 7. 8. Statistics: Quantitative data are data measured on a numerical scale. Qualitative data are non-numerical...
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...TI-84 Plus TI-84 Plus Silver Edition Guidebook Important Information Texas Instruments makes no warranty, either express or implied, including but not limited to any implied warranties of merchantability and fitness for a particular purpose, regarding any programs or book materials and makes such materials available solely on an "as-is" basis. In no event shall Texas Instruments be liable to anyone for special, collateral, incidental, or consequential damages in connection with or arising out of the purchase or use of these materials, and the sole and exclusive liability of Texas Instruments, regardless of the form of action, shall not exceed the purchase price of this product. Moreover, Texas Instruments shall not be liable for any claim of any kind whatsoever against the use of these materials by any other party. © 2005 Texas Instruments Incorporated Windows and Macintosh are trademarks of their respective owners. ii USA FCC Information Concerning Radio Frequency Interference This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to Part 15 of the FCC rules. These limits are designed to provide reasonable protection against harmful interference in a residential installation. This equipment generates, uses, and can radiate radio frequency energy and, if not installed and used in accordance with the instructions, may cause harmful interference to radio communications. However, there is no guarantee that interference...
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...Weekly Study Plan for AFE134: Business Statistics SP1 2015 | | |Week | | | |Weeks 1-2 |Introduction to Statistics|Business Statistics (BS) (Selvanathan |Module lecture recordings & lecture |Learning Statistics and Excel in |Introduce yourself to | | | |and Data Collection |et al): Chapter 1, Chapter 2 |workbook (A1, A2, A3, A4) |Tandem (LSET), Chapter 1: |the class | | |2 Mar – 15 Mar | | | |Introduction to Microsoft EXCEL & | | | | | |Video recordings: |Set up your...
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...sier!™ ing Everything Ea Mak ta t i s t i c s S e nt ia l s Ess Learn: • Exactly what you need to know about statistical ideas and techniques • The “must-know” formulas and calculations • Core topics in quick, focused lessons Deborah Rumsey, PhD Auxiliary Professor and Statistics Education Specialist, The Ohio State University Statistics Essentials FOR DUMmIES ‰ by Deborah Rumsey, PhD Statistics Essentials For Dummies® Published by Wiley Publishing, Inc. 111 River St. Hoboken, NJ 07030-5774 www.wiley.com Copyright © 2010 by Wiley Publishing, Inc., Indianapolis, Indiana Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions. Trademarks: Wiley, the Wiley Publishing logo, For Dummies, the Dummies Man logo, A Reference for the Rest...
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...Test1- Answer Key Business Statistics Chapter I: 1.Which scale of measurement can be either numeric or nonnumeric? a. | Nominal | b. | Ratio | c. | Interval | d. | None of these alternatives is correct. | ANS: A PTS: 1 TOP: Descriptive Statistics 2.Which of the following can be classified as quantitative data? a. | interval and ordinal | b. | ratio and ordinal | c. | nominal and ordinal | d. | interval and ratio | ANS: D PTS: 1 TOP: Descriptive Statistics 3.A population is a. | the same as a sample | b. | the selection of a random sample | c. | the collection of all items of interest in a particular study | d. | always the same size as the sample | ANS: C PTS: 1 TOP: Descriptive Statistics 4.On a street, the houses are numbered from 300 to 450. The house numbers are examples of a. | categorical data | b. | quantitative data | c. | both quantitative and categorical data | d. | neither quantitative nor categorical data | ANS: A PTS: 1 TOP: Descriptive Statistics Chapter II: Exhibit 2-1 ========================================================================== The numbers of hours worked (per week) by 400 statistics students are shown below. Number of hours | Frequency | 0 - 9 | 20 | 10 - 19 | 80 | 20 - 29 | 200 | 30 - 39 | 100 | =========================================================================== 5.Refer to Exhibit 2-1. The class width for this distribution a. | is 9 | b....
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...Chapter 2 Pelican Stores motion picture industry Chapter 3 Pelican Stores-2 motion picture industry-2 Business Schools of Asia-Pacific Chapter 4 Hamilton County judges Chapter 6 Specialty Toys Chapter 8 Young Professional magazine Gulf Real Estate Properties Metropolitan Research Chapter 9 Quality Associates Unemployment Study Chapter 10 Air Force Training Programming Chapter 12 Measuring Stock Market Risk Major League Baseball Team Values Chapter 13 Predicting Student Proficiency Test Scores Predicting Winning Percentage for the NFL Predicting Graduation Rates for Universities Chapter 2 Pelican Stores Pelican Stores, a division of National Clothing, is a chain of women’s apparel stores operating throughout the country. The chain recently ran a promotion in which discount coupons were sent to customers of other National Clothing stores. Data collected for a sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file named PelicanStores. Table 2.18 shows a portion of the data set. The Proprietary Card method of payment refers to charges made using a National Clothing charge card. Customers who made a purchase using a discount coupon are referred to as promotional customers and customers who made a purchase but did not use a discount coupon...
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...SYLLABUS AP STATISTICS Course Description: The purpose of this course is to introduce students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students are exposed to four broad conceptual themes: • Exploring Data: Describing patterns and departures from patterns • Sampling and Experimentation: Planning and conducting a study • Anticipating Patterns: Exploring random phenomena using probability and simulation • Statistical Inference: Estimating population parameters and testing hypotheses Students who successfully complete the course and examination may receive credit and/or advanced placement for a one-semester introductory college statistics course. Textbook: The Practice of Statistics, 3rd ed. (2008) by Yates, Moore and Starnes (Freeman Publishers) Calculator needed: TI-83 Graphing Calculator (Rentals Available) TI-83+, TI-84, TI-84+ are acceptable calculators as well Note: Any other calculator may/may not have statistical capabilities, and the instructor shall assist whenever possible, but in these instances, the student shall have sole responsibility for the calculator’s use and application in this course. AP STATISTICS Textbook: The Practice of Statistics, 3rd edition by Yates, Moore and Starnes Preliminary Chapter – What Is Statistics? (2 Days) A. Where Do Data Come From? 1. Explain why we should not draw conclusions based on personal experiences. 2. Recognize...
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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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...CHAPTER TWO DESCRIPTIVE STATISTICS: TABULAR AND GRAPHICAL METHODS CHAPTER OUTLINE AND REVIEW In Chapter 1, you were introduced to the concept of statistics and in exercise *6 of that chapter you were given a frequency distribution of the ages of 180 students at a local college, but you were not told how this frequency distribution was formulated. In Chapter 2 of your text, you were informed how such frequency distributions could be formulated and were introduced to several tabular and graphical procedures for summarizing data. Furthermore, you were shown how crosstabulations and scatter diagrams can be used to summarize data for two variables simultaneously. The terms that you should have learned from this chapter include: A. Qualitative Data: Data that are measured by either nominal or ordinal scales of measurement. Each value serves as a name or label for identifying an item. B. Quantitative Data: Data that are measured by interval or ratio scales of measurement. Quantitative data are numerical values on which mathematical operations can be performed. C. Bar Graph: A graphical method of presenting qualitative data that have been summarized in a frequency distribution or a relative frequency distribution. D. Pie Chart: A graphical device for presenting qualitative data by subdividing a circle into sectors that correspond to the relative frequency of each class. 23 24 Chapter Two E. Frequency Distribution: ...
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...| |UNIVERSITI TUNKU ABDUL RAHMAN (UTAR) | | | | | |FACULTY OF BUSINESS AND FINANCE (FBF) | Teaching Plan | |Unit Code & |UBEQ1123 QUANTITATIVE TECHNIQUES II | | |Unit Title: | | | |Course of Study: |Bachelor of Commerce (Hons) Accounting | | | |Bachelor of Business Administration (Hons) | | | |Bachelor of Business Administration (Hons) Banking and Finance | | | |Bachelor of Business Administration (Hons) Entrepreneurship ...
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...Chapter 1 – Introduction to Statistics 1-1 Review and Preview * Data – are collections of observations, such as measurements, genders, or survey responses. (A single data is a called a datum, a term that does nog see very much use.) * Statistics – is the science of planning studies and experiments; obtaining data; and then organizing, summarizing, presenting, analyzing, and interpreting those data and then drawing conclusion based on them. * Population – is the complete collection of all measurements or data that are being considered. * Census – is the collection of data from every member of the population. * Sample – is a sub-collection of members selected from a population Statistics Cheat Sheet Chapter 2 – Summarizing and Graphing Data Section 2-1: Review and Preview * Characteristics of Data * 1. Center: A representative value that indicates where the middle of the data set is located. * 2. Variation: A measure of the amount that the data values very. * 3. Distribution: The nature or shape of the spread of the data over the range of values (such as bell-shaped). * 4. Outliners: Sample values that lie very far away from the vast majority of the other sample values. * 5. Time: Any change in the characteristics of the data over time. * Study Hint: Blind memorization is not effective in remembering information. To remember the above characteristics of data, it may be helpful to use a memory...
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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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