Hypothesis Testing: Means and Proportions
|
|
- Margery Wilkinson
- 6 years ago
- Views:
Transcription
1 MBACATÓLICA JAN/APRIL 006 Marketing Research Fernando S. Machado Week 8 Hypothesis Testing: Means and Proportions Analysis of Variance: One way ANOVA Analysis of Variance: N-way ANOVA Hypothesis Testing: Means and Proportions One Sample T test T test for Independent Samples T test for Paired Samples
2 A Classification of Hypothesis Testing Procedures for Examining Differences Hypothesis Tests Parametric Tests (Metric Data) Non-parametric Tests (Nonmetric Data) One Sample * t test * Z test Independent Samples * Two-Group t test * Z test Two or More Samples Paired Samples * Paired t test One Sample * Chi-Square * K-S * Runs * Binomial Independent Samples * Chi-Square * Mann-Whitney * K-S * Median Two or More Samples Paired Samples * Sign * Wilcoxon * McNemar 3 Hypothesis Testing For Differences Between Means (Cont.) Hypothesis Testing Criteria Depends on Whether the samples are obtained from different or related populations Whether the population standard deviation is known or not known If the population standard deviation is not known, whether they can be assumed to be equal or not 4
3 Two Independent-Samples t Tests (internet usage by sex) S ummary S tatistics N umber S tandard of Cases Me an De viation Male Female F Test for Equa lity of V ariances F -tail value probability t Test Equal Varianc es Assumed Equ al Variances N ot Assu med t Degrees of -tail t Degrees of -tail value freedom probability value freedom probability Paired-Samples t Test Number Standard Standard Variable of Cases Mean Deviation Error Internet Attitude Technology Attitude Difference Internet - Technology Difference Standard Standard -tail t Degrees of -tail Mean deviation error Correlation prob. value freedom probability
4 Analysis of Variance: One Way Anova When to Use ANOVA ANOVA Basic Concepts Between and Within Group Variation 7 Similarities and Differences between ANOVA, Regression, and Log. Regression /Discr. Analysis ANOVA REGREION LOG. REG./DISC. ANALSIS Similarities Number of One One One dependent variables Number of independent Multiple Multiple Multiple variables Differences Nature of the dependent Metric Metric Categorical variable Nature of the independent Categorical Metric Metric variables 8 4
5 Analysis of Variance (ANOVA) Statistical technique for examining the diferences between two or more populations. Example: RCA Records has a million copies of Metallica s latest CD to allocate among 5 regional distribution centres. Data was collected on the past levels of sales from similar heavy-metal bands in each of the 5 regions. Are there any significant differences between those regions in terms of average sales of heavy metal CD s? Basic Concepts Factor: Categorical (non-metric) independent variable. Treatment: A particular combination of factor levels or categories One way (one-factor) Analysis of Variance: An ANOVA technique in which there is only one factor. 9 ANOVA and Causal Statistical Designs Completely randomized design: Three prices are under consideration for a new product: 39, 44 e 49 cents of euro. To determine the influence the various price levels will have on sales, three samples of supermarkets were randomly selected from the geographic area of interest. Are there any significant differences between the average levels of sales for the various price levels? EG: R X O EG: R X O EG3: R X 3 O 3 0 5
6 One Way (One-Factor) ANOVA Studies the effect of c treatments on one response variable Determine whether or not there are any statistically significant differences between the treatment means µ, µ,... µ c H o : all treatments have same effect on mean responses H : At least of µ, µ... µ c are different To Test Hypothesis, Compute the Ratio Between the "Between Treatment" Variance and "Within Treatment" Variance An Example Store Number Coupon Level In-Store Promotion Sales Clientel Rating
7 Testing for Differences between Means: Between-Group and Within-Group Variation High In-Store Medium In-Store Promotion (ISP) Promotion (ISP) Store Store Sales Number Number Sales 0,00 6 8,00 9,00 7 8,00 3 0,00 8 7,00 4 8,00 9 9,00 5 9,00 0 6,00 6 8,00 4,00 7 9,00 5,00 8 7,00 3 5,00 9 7,00 4 6,00 0 6,00 5 4,00 Average 8,30 Average 6,0 High In-Store Promotion (ISP) Store Number Sales Medium In-Store Promotion (ISP) Store Sales Number 8,30 6 6,0 8,30 7 6,0 3 8,30 8 6,0 4 8,30 9 6,0 5 8,30 0 6,0 6 8,30 6,0 7 8,30 6,0 8 8,30 3 6,0 9 8,30 4 6,0 0 8,30 5 6,0 Average 8,30 Average 6,0 3 Decomposition of the Total Variation: One-Way ANOVA Within Category Variation within Category Mean j n i ij n Independent Variable Categories X X X X3 Xc 3 c 3 c : : : : n n n3 nc N 3 c Between Category Variation between Total Sample c Total Variation y Grand Mean n j i ij N 4 7
8 Decomposition of the total variation of within y between + within error y N ( i ) i c n ( ij j ) j i η y X error y between Measure of strength of effect of X on : x c n( j ) j 5 Test of equality of means H 0 : µ µ µ 3...µ c MS x MS between x ( c ) MS error error MSwithin ( N c) F Statistic: X ( c ) F error ( N c ) MS MS X error df(c-), (N-c) Pvalue: Probability that the F-ratio would be larger than the calculated F-ratio, given the null hypothesis 6 8
9 Effect of In-Store Promotion on Sales Store Level of In-Store Promotion Number High Medium Low Column totals Category means: 83/0 6/0 37/0 j Grand mean: ( )/ One-Way ANOVA: Effect of In-store Promotion on Store Sales Source of Sum of df Mean F ratio F prob. Variation squares square Between groups (Promotion) Within groups (Error) TOTAL Cell means Level of Count Mean Promotion High () Medium () Low (3) TOTAL
10 Analysis of Variance: N- Way Anova When to use N-Way ANOVA Interaction Effects 9 N-Way ANOVA An ANOVA model in which two or more factors are involved. Sometimes we are interested in assessing the effect of more than one factor on a single dependent variable. Ex: What is the effect of sex and age on the attitudes towards our brand? Ex: How do consumers intentions to buy a brand vary with different levels of price and different levels of advertising? In particular, how do the effects of price and advertising interact with each other? Assume that we have 3 levels of advertising and levels of price. Then a (full) factorial design has 6 (3*) treatments. 0 0
11 Interaction Effect Impact of one treatment will not be the same for each condition of the other treatment Hypothesis of no interaction can be tested using F-ratio for interaction Decomposition of total variation of y X + X + XX + error multiple η X + X + XX Statistic for testing the significance of global effect: + + F ( c ) + ( c ) + ( c )( c ) X X error XX N cc Statistic for testing significance Statistic for testing significance of each factor s main-effect: of interaction-effect: X X X ( c ) ( c )( c ) F F error error N c c N c c
12 Two-Way Analysis of Variance Source of Sum of Mean Sig. of Variation squares df square F F w Main Effects Promotion Coupon Combined Two-way interaction Model Residual (error) TOTAL Cell Means Promotion Coupon Count Mean High es High No Medium es Medium No Low es Low No TOTAL 30 Factor Level Means Promotion Coupon Count Mean High Medium Low es No Grand Mean
13 Store sales Promotion coupon no coupon low 5,4,0 medium 7,6 4,8 high 9, 7,4 Effect of promotion level on sales for alternative coupon levels Sales coupon no coupon 0 low medium high Promotion 5 Patterns of Interaction Case : No Interaction Case : Ordinal Interaction X X es es X X No No X X X 3 Promotion X X X 3 Promotion Case 3: Disordinal Interaction: Noncrossover Case 3: Disordinal Interaction: Crossover es X X es X No No X X X X 3 Promotion X X X 3 Promotion 6 3
STATISTICS PART Instructor: Dr. Samir Safi Name:
STATISTICS PART Instructor: Dr. Samir Safi Name: ID Number: Question #1: (20 Points) For each of the situations described below, state the sample(s) type the statistical technique that you believe is the
More informationExperimental Design Day 2
Experimental Design Day 2 Experiment Graphics Exploratory Data Analysis Final analytic approach Experiments with a Single Factor Example: Determine the effects of temperature on process yields Case I:
More information4.3 Nonparametric Tests cont...
Class #14 Wednesday 2 March 2011 What did we cover last time? Hypothesis Testing Types Student s t-test - practical equations Effective degrees of freedom Parametric Tests Chi squared test Kolmogorov-Smirnov
More informationAPPENDIX 1 QUESTIONNAIRE
APPENDIX 1 QUESTIONNAIRE QUESTIONNAIRE A STUDY ON CONSUMER PERCEPTION WITH RESPECT TO DABUR HONEY A CASE STUDY ON DABUR INDIA LIMITED PART I (A) DEMOGRAPHIC BACKGROUND PART II (B) DABUR S MARKETING PART
More informationSuggested Statistical Methods to Analyze Air Power Operations Course Surveys
2017-10-04 DRDC-RDDC-2017-L316 Prepared for: CO CFAWC Scientific Letter Suggested Statistical Methods to Analyze Air Power Operations Course Surveys Background The RCAF has conducted two serials of the
More informationAcaStat How To Guide. AcaStat. Software. Copyright 2016, AcaStat Software. All rights Reserved.
AcaStat How To Guide AcaStat Software Copyright 2016, AcaStat Software. All rights Reserved. http://www.acastat.com Table of Contents Frequencies... 3 List Variables... 4 Descriptives... 5 Explore Means...
More informationQuestion Total Points Points Received 1 16
ame: Check one: Mon.-Wed. Section: Tues.-Thurs. Section: Statistics 0 Midterm # ovember, 000 6-8pm This exam is closed book. You may have two pages of notes. You may use a calculator. You must write the
More informationPRESENTATION ON MILK SUBMITTED BY NAINA KAUSHIK PRERNA POOJA REENU SHAARIB ANSARI
PRESENTATION ON MILK SUBMITTED BY NAINA KAUSHIK PRERNA POOJA REENU SHAARIB ANSARI OBJECTIVES To analyse the consumer brand preferences of milk. To evaluate consumers attitude towards the usage of milk.
More informationBusiness Statistics (BK/IBA) Tutorial 4 Exercises
Business Statistics (BK/IBA) Tutorial 4 Exercises Instruction In a tutorial session of 2 hours, we will obviously not be able to discuss all questions. Therefore, the following procedure applies: we expect
More informationAn Application of Categorical Analysis of Variance in Nested Arrangements
International Journal of Probability and Statistics 2018, 7(3): 67-81 DOI: 10.5923/j.ijps.20180703.02 An Application of Categorical Analysis of Variance in Nested Arrangements Iwundu M. P. *, Anyanwu C.
More informationQuestionnaire. (3) (3) Bachelor s degree (3) Clerk (3) Third. (6) Other (specify) (6) Other (specify)
Questionnaire 1. Age (years) 2. Education 3. Job Level 4.Sex 5. Work Shift (1) Under 25 (1) High school (1) Manager (1) M (1) First (2) 25-35 (2) Some college (2) Supervisor (2) F (2) Second (3) 36-45
More informationSegmentation, Targeting and Positioning in the Diaper Market
Segmentation, Targeting and Positioning in the Diaper Market mothers of infants were surveyed. Each was given a randomly selected brand of diaper (,, ou Huggies) and asked to rate the diaper on 9 attributes
More informationChapter 5 DATA ANALYSIS & INTERPRETATION
Chapter 5 DATA ANALYSIS & INTERPRETATION 205 CHAPTER 5 : DATA ANALYSIS AND INTERPRETATION 5.1: ANALYSIS OF OCCUPATION WISE COMPOSITION OF SUBSCRIBERS. 5.2: ANALYSIS OF GENDER WISE COMPOSITION OF SUBSCRIBERS.
More informationRepublic of the Philippines LEYTE NORMAL UNIVERSITY Paterno St., Tacloban City. Course Syllabus in FD nd Semester SY:
Republic of the Philippines LEYTE NORMAL UNIVERSITY Paterno St., Tacloban City Course Syllabus in FD 602 2 nd Semester SY: 2015-2016 I. COURSE CODE : FD 602 II. COURSE TITLE : Advanced Statistics I III.
More informationUsing Excel s Analysis ToolPak Add-In
Using Excel s Analysis ToolPak Add-In Bijay Lal Pradhan, PhD Introduction I have a strong opinions that we can perform different quantitative analysis, including statistical analysis, in Excel. It is powerful,
More informationChapter Analytical Tool and Setting Parameters: determining the existence of differences among several population means
Chapter-6 Websites Services Quality Analysis of Data & Results 6.1 Analytical Tool and Setting Parameters: 1. Analysis of Variance (ANOVA): I have shown a relative scenario between his results in the results
More informationThis paper is not to be removed from the Examination Halls
This paper is not to be removed from the Examination Halls UNIVERSITY OF LONDON ST104A ZB (279 004A) BSc degrees and Diplomas for Graduates in Economics, Management, Finance and the Social Sciences, the
More informationSALES PROMOTION ACTIVITIES EFFECTIVE TOOL OF MARKETING COMMUNICATION MIX
Trakia Journal of Sciences, Vol. 15, Suppl. 1, pp 181-185, 2017 Copyright 2017 Trakia University Available online at: http://www.uni-sz.bg ISSN 1313-7069 (print) ISSN 1313-3551 (online) doi:10.15547/tjs.2017.s.01.033
More informationUnit 6: Simple Linear Regression Lecture 2: Outliers and inference
Unit 6: Simple Linear Regression Lecture 2: Outliers and inference Statistics 101 Thomas Leininger June 18, 2013 Types of outliers in linear regression Types of outliers How do(es) the outlier(s) influence
More information(31) Business Statistics
Structure of the Question Paper (31) Business Statistics I Paper - II Paper - Time : 02 hours. 50 multiple choice questions with 5 options. All questions should be answered. Each question carries 02 marks.
More informationCHAPTER FIVE CROSSTABS PROCEDURE
CHAPTER FIVE CROSSTABS PROCEDURE 5.0 Introduction This chapter focuses on how to compare groups when the outcome is categorical (nominal or ordinal) by using SPSS. The aim of the series of exercise is
More informationIndian Consumers Spending Patterns on Frozen Desserts
Indian Consumers Spending Patterns on Frozen Desserts Vishakha Raut & Aniket Ambardekar Abstract The research paper talks about how product attributes and demographic variables affect the decisions of
More informationChapter 4 FINDINGS OF THE STUDY
Chapter 4 FINDINGS OF THE STUDY FINDINGS OF THE STUDY The previous chapter has provided a detailed result of the analysis of the effect of advertisements on the consumer behaviour and brand preference
More informationMARKET RESEARCH ON CONSUMER BUYING BEHAVIOUR FOR MICROWAVE OVENS IN THANE DISTRICT. Prof Mahesh M Bhanushali 1, B.E Mechanical, MMS Marketing,
International Journal Research in IT and Management(IJRIM) Available online at :http://euroasiapub.org Vol. 6, Issue 12, December- 2016, pp. 16~23 ISSN(o): 2231-4334 ISSN(p): 2349-6517, Impact Factor:
More information13-5 The Kruskal-Wallis Test
13-5 The Kruskal-Wallis Test luman, hapter 13 1 1 13-5 The Kruskal-Wallis Test The NOV uses the F test to compare the means of three or more populations. The assumptions for the NOV test are that the populations
More informationANALYSING QUANTITATIVE DATA
9 ANALYSING QUANTITATIVE DATA Although, of course, there are other software packages that can be used for quantitative data analysis, including Microsoft Excel, SPSS is perhaps the one most commonly subscribed
More informationA Practical Guide to Quantitative Research
A Practical Guide to Quantitative Research MichailTsikerdekis tsikerdekis@gmail.com http://tsikerdekis.wuwcorp.com October2012 FacultyOfSociology SOC756ResearchMethods MasarykUniversity This work is licensed
More informationSECTION 11 ACUTE TOXICITY DATA ANALYSIS
SECTION 11 ACUTE TOXICITY DATA ANALYSIS 11.1 INTRODUCTION 11.1.1 The objective of acute toxicity tests with effluents and receiving waters is to identify discharges of toxic effluents in acutely toxic
More informationAn Empirical Study on the Demographic Profile of Shoppers at the Local Retailer
An Empirical Study on the Demographic Profile of Shoppers at the Local Retailer Dr. VandanaTandon- Khanna, Shipra Bhatia, Charmi Shah ABSTRACT In spite of the rapid mushrooming of malls and other modern
More informationThe demand for voluntary carbon offsets:
The demand for voluntary carbon offsets: Field experimental evidence from the long-distance bus market in Germany Martin Kesternich (Centre for European Economic Research, ZEW) Andreas Löschel Daniel Römer
More informationLearn What s New. Statistical Software
Statistical Software Learn What s New Upgrade now to access new and improved statistical features and other enhancements that make it even easier to analyze your data. The Assistant Let Minitab s Assistant
More informationChapter 4: Comparative Study of effectiveness of TV and Internet Advertising on the basis of informativeness parameter
Chapter 4: Comparative Study of effectiveness of TV and Internet Advertising on the basis of informativeness parameter Chapter 4: Comparative Study of effectiveness of TV and Internet Advertising on the
More informationInvestigating the determinants of brand equity using Aaker model (Case Study: products of Automobile Anti-Theft System)
EUROPEAN ACADEMIC RESEARCH Vol. II, Issue 10/ January 2015 ISSN 2286-4822 www.euacademic.org Impact Factor: 3.1 (UIF) DRJI Value: 5.9 (B+) Investigating the determinants of brand equity using Aaker model
More informationDavid M. Rocke Division of Biostatistics and Department of Biomedical Engineering University of California, Davis
David M. Rocke Division of Biostatistics and Department of Biomedical Engineering University of California, Davis Outline RNA-Seq for differential expression analysis Statistical methods for RNA-Seq: Structure
More informationLearning Objectives. Module 7: Data Analysis
Module 7: Data Analysis 2007. The World Bank Group. All rights reserved. Learning Objectives At the end of this module, participants should understand: basic data analysis concepts the relationship among
More informationCategorical Data Analysis
Categorical Data Analysis Hsueh-Sheng Wu Center for Family and Demographic Research October 4, 200 Outline What are categorical variables? When do we need categorical data analysis? Some methods for categorical
More information[Rajeswari, 4(9) September, 2017] ISSN: IMPACT FACTOR
A STUDY ON CONSUMER PERCEPTION AND PREFERENCE TOWARD AYURVEDIC PRODUCTS WITH SPECIAL REFERENCE TO PATANJALI AYURVEDIC PRODUCTS, VELLORE P. Rajeswari *1 & R. Aruna 2 *1 Asst. Professor, D.K.M College For
More informationDefining models using equations...
A Course in Statistical Modelling Methods@Manchester August 27, 28 and 29, 2014 session 03: Defining models and test selection Graeme Hutcheson Manchester Institute of Education University of Manchester
More informationA Study on the Customer Awareness of E- Banking Services in Madurai City
A Study on the Customer Awareness of E- Banking Services in Madurai City 1 R. Nagaraj, 2 Dr. P. Jegatheeswari Research Scholar, Associate Professor Department of Management Studies 1 Madurai Kamaraj University,
More informationSearching for Truth = Experiment
STATISTICS AND ANIMAL EXPERIMENTATION: THE GOOD, THE BAD AND THE UGL Dr. Manuel Berdoy Oxford University Veterinary Services. OSLO June 09 The Essence of Statistical Thinking, Common Mistakes and Solutions:
More informationPerception of Women consumer towards Branded Cosmetics in Nagapattinam District
International Journal of Sciences & Applied Research www.ijsar.in Perception of Women consumer towards Branded Cosmetics in Nagapattinam District P. Priyanga, R. Krishnaveni A.D.M College for Women (Autonomous),
More informationThe Impact of Corporate Social Responsibility on Consumers Attitudes at Northwestern Mutual: A Case Study
The Impact of Corporate Social Responsibility on Consumers Attitudes at Northwestern Mutual: Researchers: Kuhlman, Laura Lett, Kate Vornhagen, Shellie December 6, 2013 Marketing Research Kuhlman_A7 Executive
More informationA STUDY OF EFFECTIVENESS ON CUSTOMER RELATIOSHIP MANAGEMENT (CRM) PRACTICES FOR SHOPPING MALL WITH REFERENCE TO TIRUCHIRAPALLI.
A STUDY OF EFFECTIVENESS ON CUSTOMER RELATIOSHIP MANAGEMENT (CRM) PRACTICES FOR SHOPPING MALL WITH REFERENCE TO TIRUCHIRAPALLI PROF. K. R. MAHALAXMI 1 M JAGADEESH 2 1&2 Department of Management Studies,
More informationSAS/STAT 14.1 User s Guide. Introduction to Categorical Data Analysis Procedures
SAS/STAT 14.1 User s Guide Introduction to Categorical Data Analysis Procedures This document is an individual chapter from SAS/STAT 14.1 User s Guide. The correct bibliographic citation for this manual
More informationAvailable online at ScienceDirect. Procedia Economics and Finance 39 ( 2016 ) 32 38
Available online at www.sciencedirect.com ScienceDirect Procedia Economics and Finance 39 ( 2016 ) 32 38 3rd GLOBAL CONFERENCE on BUSINESS, ECONOMICS, MANAGEMENT and TOURISM, 26-28 November 2015, Rome,
More informationPlease respond to each of the following attitude statement using the scale below:
Resp. ID: QWL Questionnaire : Part A: Personal Profile 1. Age as of last birthday. years 2. Gender 0. Male 1. Female 3. Marital status 0. Bachelor 1. Married 4. Level of education 1. Certificate 2. Diploma
More informationLab 1: A review of linear models
Lab 1: A review of linear models The purpose of this lab is to help you review basic statistical methods in linear models and understanding the implementation of these methods in R. In general, we need
More informationExamples of Statistical Methods at CMMI Levels 4 and 5
Examples of Statistical Methods at CMMI Levels 4 and 5 Jeff N Ricketts, Ph.D. jnricketts@raytheon.com November 17, 2008 Copyright 2008 Raytheon Company. All rights reserved. Customer Success Is Our Mission
More informationJMP TIP SHEET FOR BUSINESS STATISTICS CENGAGE LEARNING
JMP TIP SHEET FOR BUSINESS STATISTICS CENGAGE LEARNING INTRODUCTION JMP software provides introductory statistics in a package designed to let students visually explore data in an interactive way with
More informationMath 141 Practice Exam 3 1. An 8-space code is to be made from the 26 letters of the alphabet with repeats allowed. Find the probability that:
Math 141 Practice Exam 3 1. An 8-space code is to be made from the 26 letters of the alphabet with repeats allowed. Find the probability that: a) the code contains exactly two a's and no other repeats.
More informationDistinguish between different types of numerical data and different data collection processes.
Level: Diploma in Business Learning Outcomes 1.1 1.3 Distinguish between different types of numerical data and different data collection processes. Introduce the course by defining statistics and explaining
More informationISSN: International Journal Of Core Engineering & Management (IJCEM) Volume 2, Issue 8, November 2015
Volume 2, Issue 8, November 2015 A STUDY ON JOB SATISFACTION AMONG THE ARTS AND SCIENCE COLLEGE FACULTY(WITH SPECIAL REFERENCE TO COIMBATORE DISTRICT,TAMIL NADU) Dr. J. Thirumaran Principal Rathinam College
More informationDecember 4, 2018 BIM 105 Probability and Statistics for Biomedical Engineers 1
December 4, 2018 BIM 105 Probability and Statistics for Biomedical Engineers 1 Orthogonality and Collinearity Two predictors are orthogonal if they are uncorrelated. For example, if two wells of a microplate
More informationSPSS 14: quick guide
SPSS 14: quick guide Edition 2, November 2007 If you would like this document in an alternative format please ask staff for help. On request we can provide documents with a different size and style of
More information*STATA.OUTPUT -- Chapter 13
*STATA.OUTPUT -- Chapter 13.*small example of rank sum test.input x grp x grp 1. 4 1 2. 35 1 3. 21 1 4. 28 1 5. 66 1 6. 10 2 7. 42 2 8. 71 2 9. 77 2 10. 90 2 11. end.ranksum x, by(grp) porder Two-sample
More informationFACTORS AFFECTING JOB STRESS AMONG IT PROFESSIONALS IN APPAREL INDUSTRY: A CASE STUDY IN SRI LANKA
FACTORS AFFECTING JOB STRESS AMONG IT PROFESSIONALS IN APPAREL INDUSTRY: A CASE STUDY IN SRI LANKA W.N. Arsakularathna and S.S.N. Perera Research & Development Centre for Mathematical Modeling, Faculty
More informationCHAPTER 3 RESEARCH METHODOLOGY. This research was adapted from a research done in Greek by Efthimia Tsakiridou,
CHAPTER 3 RESEARCH METHODOLOGY This research was adapted from a research done in Greek by Efthimia Tsakiridou, Christina Boutsuki, Yorgos Zotos, and Konstatinos Mattas from Department from Agricultural
More informationInternational Journal of Innovative Research in Management Studies (IJIRMS) ISSN (Online): Volume 1 Issue 4 May 2016
A STUDY ON PURCHASING BEHAVIOUR OF YOUTH TOWARDS TWO WHEELERS IN THIRUVARUR AND NAGAPATTINAM DISTRICTS S.Dharanya* *II Year MBA Student, School of Management, SASTRA University, Thanjavur, South India
More informationA Research Note on Correlation
A Research ote on Correlation Instructor: Jagdish Agrawal, CSU East Bay 1. When to use Correlation: Research questions assessing the relationship between pairs of variables that are measured at least at
More informationStatistics in Risk Assessment
What s about Truth? 100% 80% Effect 60% 40% 20% 0% 0 0.5 1 1.5 2 2.5 3 Log (Dose/concentration) Hans Toni Ratte Institute of Environmental Research (Biology V) Chair of Ecology, Ecotoxicology, Ecochemistry
More informationSaudi Journal of Business and Management Studies. DOI: /sjbms ISSN (Print)
DOI: 10.21276/sjbms.2016.1.3.11 Saudi Journal of Business and Management Studies Scholars Middle East Publishers Dubai, United Arab Emirates Website: http://scholarsmepub.com/ ISSN 2415-6663 (Print) ISSN
More informationSec Two-Way Analysis of Variance. Bluman, Chapter 12 1
Sec 12.3 Two-Way Analysis of Variance Bluman, Chapter 12 1 12-3 Two-Way Analysis of Variance In doing a study that involves a twoway analysis of variance, the researcher is able to test the effects of
More informationQuestions/Comments/Concerns/Complaints
Reminder Exam #1 on Friday Jan 29 Lectures 1-6, QS 1-3 Office Hours: Course web-site Josh Thur, Hitchcock 3:00-4:00 (?) Bring a calculator Questions/Comments/Concerns/Complaints Practice Question: Product
More informationStatistical Analysis of Clinical Data on a Pocket Calculator
Statistical Analysis of Clinical Data on a Pocket Calculator Ton J. Cleophas Aeilko H. Zwinderman Statistical Analysis of Clinical Data on a Pocket Calculator Statistics on a Pocket Calculator Prof. Ton
More informationManagement Science Letters
Management Science Letters 1 (011) 335 340 Contents lists available at GrowingScience Management Science Letters homepage: www.growingscience.com/msl How physical and non-physical working environment affects
More informationThe Gender-Brand Effect of Key Phrases on User Clicks in Sponsored Search
The Gender-Brand Effect of Key Phrases on User Clicks in Sponsored Search Partha Mukherjee Pennsylvania State University. College of Information Science and Technology. University Park, PA-16802, USA pom5109@ist.psu.edu
More informationBRAND LOYALTY OF FEMALE CONSUMERS - STUDY CARRIED IN SFÂNTU GHEORGHE AND THE SURROUNDING AREAS
BRAND LOYALTY OF FEMALE CONSUMERS - STUDY CARRIED IN SFÂNTU GHEORGHE AND THE SURROUNDING AREAS Assistant Ph.D Erika KULCSÁR "Babeş Bolyai" University of Cluj Napoca Email: elerhetetlen@yahoo.com Ec. Szende
More informationAN EMPIRICAL STUDY OF QUALITY OF PAINTS: A CASE STUDY OF IMPACT OF ASIAN PAINTS ON CUSTOMER SATISFACTION IN THE CITY OF JODHPUR
AN EMPIRICAL STUDY OF QUALITY OF PAINTS: A CASE STUDY OF IMPACT OF ASIAN PAINTS ON CUSTOMER SATISFACTION IN THE CITY OF JODHPUR Dr. Ashish Mathur Associate Professor, Department of Management Studies Lachoo
More informationStatistics 201 Summary of Tools and Techniques
Statistics 201 Summary of Tools and Techniques This document summarizes the many tools and techniques that you will be exposed to in STAT 201. The details of how to do these procedures is intentionally
More informationProbability Of Booking
Axis Title Web Social Analytics Air France Assignment 1 Spring 216 Shuhua Zhu Assignment 1 Question 1: CTR TCR NET REVEAVE. COSROA AVE. REV PROB COUNT 451 451 451 451 459 368 451 MAX 2.% 9.% $549,524 $1.
More informationMathematics MS03 (JUN15MS0301) General Certificate of Education Advanced Level Examination June Unit Statistics TOTAL
Centre Number Candidate Number For Examiner s Use Surname Other Names Candidate Signature Examiner s Initials Mathematics Unit Statistics 3 Monday 22 June 2015 General Certificate of Education Advanced
More informationIMPACT OF ACADEMICIANS COMMITMENT FORMS ON WORK-LIFE BALANCE IN ENGINEERING INSTITUTIONS
IMPACT OF ACADEMICIANS COMMITMENT FORMS ON WORK-LIFE BALANCE IN ENGINEERING INSTITUTIONS A.Anandh kumar, Assistant Professor, Sree Sastha Institute of Engineering & Technology, Chennai Abstract The study
More informationINSUFFICIENCY TO PROVIDE SERVICES AND ITS IMPACT ON CUSTOMER BEHAVIOUR
INSUFFICIENCY TO PROVIDE SERVICES AND ITS IMPACT ON CUSTOMER BEHAVIOUR *Hamid Asadi and Abolfazl Moghaddam Department of Management, Zanjan Branch, Islamic Azad University, Iran, Iran *Author for Correspondence
More informationThe Kruskal-Wallis Test with Excel In 3 Simple Steps. Kilem L. Gwet, Ph.D.
The Kruskal-Wallis Test with Excel 2007 In 3 Simple Steps Kilem L. Gwet, Ph.D. Copyright c 2011 by Kilem Li Gwet, Ph.D. All rights reserved. Published by Advanced Analytics, LLC A single copy of this document
More informationStatistics and Business Decision Making TEKS/LINKS Student Objectives One Credit
First Six Weeks Defining and Collecting of Data SBDM 8(A) The student will define the types of variables and the measurement scales of variables. SBDM 8(B) The student will understand the collecting of
More informationProfessional Ethics and Organizational Productivity for Employee Retention
Professional Ethics and Organizational Productivity for Employee Retention Sandhya Kethavath JNTU, India ABSTRACT Values and ethics function as criteria, which govern goals at various levels of organization.
More informationBENCHMARKING BEST MANUFACTURING PRACTICES: A STUDY INTO FOUR SECTORS OF THE TURKISH INDUSTRY. Gündüz ULUSOY
BENCHMARKING BEST MANUFACTURING PRACTICES: A STUDY INTO FOUR SECTORS OF THE TURKISH INDUSTRY Gündüz ULUSOY Faculty of Engineering and Natural Sciences, Sabancı University, Orhanlı, Tuzla, 81474 Istanbul,
More informationApplication of Statistical Methods to Analyze Groundwater Quality
Journal of Earth Sciences and Geotechnical Engineering, vol. 1, no.1, 2011, 1-7 ISSN: 1792-9040(print), 1792-9660 (online) International Scientific Press, 2011 Application of Statistical Methods to Analyze
More information1 of :01 PM
1 of 5 09-02-16 5:01 PM Continuous Issue - 11 November - December 2014 A Study of Job Satisfaction among Male and Female Faculties Teaching in Self-Finance and Government Colleges within Ahmedabad District
More informationOBJECTIVES OF THE STUDY
RESEARCH DESIGN A Research Design is a framework or blueprint for conducting the research. It specifies the details of the procedures necessary for obtaining the information needed to structure and solve
More informationCULTURAL INFLUENCES ON PRE-PAY MOBILE TELECOMMUNICATIONS SERVICES USERS
CULTURAL INFLUENCES ON PRE-PAY MOBILE TELECOMMUNICATIONS SERVICES USERS Lecturer PhD Georgeta-Madalina MEGHISAN University of Craiova, Romania E-mail: madalina_meghisan@yahoo.com Abstract: Purpose: The
More informationRole of Advertisement in Shaping Consumer Buying Behaviour
Role of Advertisement in Shaping Consumer Buying Behaviour Komal Sikhwal (S.V. Institute of Management, Kadi, Gujarat, India) Abstract: Advertisement is generally use for creating awareness and promoting
More informationParticipatory Performance Measurement or Self-Assessment: Amelioration Employee Job Satisfaction
Participatory Performance Measurement or Self-Assessment: Amelioration Employee Job Satisfaction Agus Munandar Faculty of Economic and Business, University of 17 August 1945 Jakarta, Indonesia Abstract
More informationCHAPTER 8 T Tests. A number of t tests are available, including: The One-Sample T Test The Paired-Samples Test The Independent-Samples T Test
CHAPTER 8 T Tests A number of t tests are available, including: The One-Sample T Test The Paired-Samples Test The Independent-Samples T Test 8.1. One-Sample T Test The One-Sample T Test procedure: Tests
More informationService Quality and Consumer Behavior on Metered Taxi Services
Service Quality and Consumer Behavior on Metered Taxi Services Nattapong Techarattanased Abstract The purposes of this research are to make comparisons in respect of the behaviors on the use of the services
More informationRegression Analysis I & II
Data for this session is available in Data Regression I & II Regression Analysis I & II Quantitative Methods for Business Skander Esseghaier 1 In this session, you will learn: How to read and interpret
More informationsmall medium large standard $20M $30M $50M horizontal -$20M $40M $90M (a) (5 pts) Find the mean payoffs of the two different drilling strategies.
Business Statistics 41000 Homework #1 1. An oil company wants to drill in a new location. A preliminary geological study suggests that there is a 20% chance of finding a small amount of oil, a 50% chance
More informationDiscussion Solution Mollusks and Litter Decomposition
Discussion Solution Mollusks and Litter Decomposition. Is the rate of litter decomposition affected by the presence of mollusks? 2. Does the effect of mollusks on litter decomposition differ among the
More informationACKNOWLEDGEMENT. Second, we would like to thank Dr. Vijay Page and Mr. Rajiv Gupte who gave us an opportunity work on this project.
ACKNOWLEDGEMENT This research paper is made possible through the help and support from everyone, including: parents, teachers, family, friends, and in essence, all sentient beings. Thanks to all the authors,
More informationStata Program Notes Biostatistics: A Guide to Design, Analysis, and Discovery Second Edition Chapter 12: Analysis of Variance
Stata Program Notes Biostatistics: A Guide to Design, Analysis, and Discovery Second Edition Chapter 12: Analysis of Variance Program Note 12.1 - One-Way ANOVA and Multiple Comparisons The Stata command
More informationINTERNATIONAL JOURNAL OF MARKETING AND HUMAN RESOURCE MANAGEMENT (IJMHRM)
INTERNATIONAL JOURNAL OF MARKETING AND HUMAN RESOURCE MANAGEMENT (IJMHRM) International Journal of Marketing and Human Resource Management (IJMHRM), ISSN 0976 6421 (Print) ISSN 0976 643X (Online) Volume
More informationAnalyzing the Effects of Comments on Social Networking Sites on Consumer Purchasing Decision Process
Analyzing the Effects of Comments on Social Networking Sites on Consumer Purchasing Decision Process Emrah Sıtkı YILMAZ Research Assistant University of Gaziantep, Department of Business Administration,
More informationA Comparison of Segmentation Based on Relevant Attributes and Segmentation Based on Determinant Attributes
30-10-2015 A Comparison of Segmentation Based on Relevant Attributes and Segmentation Based on Determinant Attributes Kayleigh Meister WAGENINGEN UR A Comparison of Segmentation Based on Relevant Attributes
More informationListening to The Voice of The Customer 1
Listening to The Voice of The Customer 1 To ensure that products and services satisfy customer needs, it is essential for a firm to gather their customers voice. Stated differently, listening to customers
More informationBIOL 458 Biometry LAB 3: Sampling, Sampling Distributions, and Point Estimation
BIOL 458 Biometry LAB 3: ampling, ampling Distributions, and Point Estimation Biologists and scientists and scholars in many other disciplines often wish to estimate the value of some attribute for one
More informationA Study of Component Gender in Job Satisfaction of University Lecturers
Ref: 6.16 Type: Working Paper Stream: Gendered Issues in HRD A Study of Component Gender in Job Satisfaction of University Lecturers Ali Hajiha Islamic Azad University, North Tehran Branch Iran. a_hajiha@iau-tnb.ac.ir
More informationHarmonizing Quality Criteria of Regional Horticultural Products and Customers Decision in Hungary
Available online at www.sciencedirect.com Procedia - Social and Behavioral Scien ce s 81 ( 2013 ) 672 677 1 st World Congress of Administrative & Political Sciences (ADPOL-2012) Harmonizing Quality Criteria
More informationADVANCED DATA ANALYTICS
ADVANCED DATA ANALYTICS MBB essay by Marcel Suszka 17 AUGUSTUS 2018 PROJECTSONE De Corridor 12L 3621 ZB Breukelen MBB Essay Advanced Data Analytics Outline This essay is about a statistical research for
More informationA Comparison of the Effectiveness of the advertisement campaigns of Vodafone and Idea
A Comparison of the Effectiveness of the advertisement campaigns of Vodafone and Idea Authors: Ms. Shushmita Sagar, Mr. Chintan Mehta, Ms. Sandhya Sharma Abstract This research paper highlights the comparative
More informationCONSUMERS BRAND PREFERENCES AND BRAND LOYALTY - AN EMPIRICAL STUDY WITH SPECIAL REFERENCE TO PACKAGED MILK
CONSUMERS BRAND PREFERENCES AND BRAND LOYALTY - AN EMPIRICAL STUDY WITH SPECIAL REFERENCE TO PACKAGED MILK V.Vijay Anand Research Scholar Manonamaniyam Sundaranar University Tirunelveli, Tamiln Nadu South
More information