MEMORANDUM. TO: Me FROM: Me RE: Memo containing output for SPSS practice exam #2
|
|
- Jade Newman
- 6 years ago
- Views:
Transcription
1 MEMORADUM DATE: ovember 5, 2024 TO: Me FROM: Me RE: Memo containing output for SPSS practice exam #2 Task 3a. Below is bar graph of the number of cases for the variable beltfrnt o Seat Belt Law--Front seat only Yes 1
2 Task 3b. Below is a frequency distribution for the variable beltall. beltall Seat Belt Law--All occupants Valid 0 o 1 Yes Total Cumulative Frequency Percent Valid Percent Percent Task 3c. The following summary statistics are for the variable fatrate: standard deviation, skewness, and kurtosis. Valid (listwise) Std. Skewness Kurtosis Statistic Statistic Statistic Std. Error Statistic Std. Error Task 3d. The following summary statistics are for the variable fatrate for only states with a front seat only seat belt law: standard deviation, skewness, and kurtosis. Valid (listwise) Std. Skewness Kurtosis Statistic Statistic Statistic Std. Error Statistic Std. Error Task 3e. The following summary statistics are for the variable fatrate for only states with an all seats seat belt law: minimum, maximum, and kurtosis. Valid (listwise) Minimum Maximum Kurtosis Statistic Statistic Statistic Statistic Std. Error
3 Task 3f. The following summary statistics are for the variable beltfine for only states with a front seat only seat belt law: mean, minimum, and maximum. beltfine Seat Belt Law Fine ($s) Valid (listwise) Minimum Maximum Mean Task 3g. The following summary statistics are for the variable beltfine for only states with an all seats seat belt law: mean, minimum, maximum, and skewness. beltfine Seat Belt Law Fine ($s) Valid (listwise) Minimum Maximum Mean Skewness Statistic Statistic Statistic Statistic Statistic Std. Error Task 3h. Below is the correlation for the following variables: fatrate and allbev. Correlations consumption (all beverages; ethanol gallons/capita) consumption (all fatrate Motor beverages; vehicle ethanol fatalities per gallons/capit 1 billion VMT a)
4 Task 3i. Below is the correlation for the following variables: allbev and educ16. Correlations consumption (all beverages; ethanol gallons/capita) educ16 Percent of pop.with 16+ years of education consumption (all beverages; ethanol gallons/capit a) 1.343* * educ16 Percent of pop.with 16+ years of education *. Correlation is significant at the 0.05 level (2-tailed). Task 3j. Below is the correlation for the following variables: fatrate and beltuse. beltuse Observed seat belt use rate (%) Correlations *. Correlation is significant at the 0.05 level (2-tailed). fatrate Motor beltuse vehicle Observed fatalities per seat belt use 1 billion VMT rate (%) * *
5 Task 3k. Below is a crosstab with region2 as the column variable and beltfrnt as the row variable. The cells for the crosstabs report the frequency of responses that fall into a cell and the column percent. The Chi-square statistic for this table is also reported. belfrnt Seat Belt Law--Front seat only * region2 Crosstabulation belfrnt Seat Belt Law--Front seat only Total 0 o 1 Yes region2 1 orth 2 Midwest 3 South 4 West Total % 8.3% 17.6% 69.2% 35.3% % 91.7% 82.4% 30.8% 64.7% % 100.0% 100.0% 100.0% 100.0% Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association of Valid Cases Chi-Square Tests Asymp. Sig. Value df (2-sided) a a. 3 cells (37.5%) have expected count less than 5. The minimum expected count is
6 Task 3l. Below is a crosstab with region2 as the column variable and beltall as the row variable. The cells for the crosstabs report the frequency of responses that fall into a cell and the column percent. The Chi-square statistic for this table is also reported. beltall Seat Belt Law--All occupants * region2 Crosstabulation beltall Seat Belt Law--All occupants Total 0 o 1 Yes region2 1 orth 2 Midwest 3 South 4 West Total % 91.7% 82.4% 30.8% 66.7% % 8.3% 17.6% 69.2% 33.3% % 100.0% 100.0% 100.0% 100.0% Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association of Valid Cases Chi-Square Tests Asymp. Sig. Value df (2-sided) a a. 3 cells (37.5%) have expected count less than 5. The minimum expected count is
GGraph. Males Only. Premium. Experience. GGraph. Gender. 1 0: R 2 Linear = : R 2 Linear = Page 1
GGraph 9 Gender : R Linear =.43 : R Linear =.769 8 7 6 5 4 3 5 5 Males Only GGraph Page R Linear =.43 R Loess 9 8 7 6 5 4 5 5 Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent
More informationResearcher extracted the following results after applying SPSS software. Frequency Tables from table 4.1 to 4.9 are shown as follows: Valid.
Objective 1: To understand various promotional mix strategies undertaken by life insurance companies in Iran and India Researcher extracted the following results after applying SPSS software. Company located
More informationValid Missing Total. N Percent N Percent N Percent , ,0% 0,0% 2 100,0% 1, ,0% 0,0% 2 100,0% 2, ,0% 0,0% 5 100,0%
dimension1 GET FILE= validacaonestscoremédico.sav' (só com os 59 doentes) /COMPRESSED. SORT CASES BY UMcpEVA (D). EXAMINE VARIABLES=UMcpEVA BY NoRespostasSignif /PLOT BOXPLOT HISTOGRAM NPPLOT /COMPARE
More informationOLAH DATA INSTRUMEN PENELITIAN DENGAN SPSS VERSI 16.0
OLAH DATA INSTRUMEN PENELITIAN DENGAN SPSS VERSI 16.0 DESKRIPTIF Variabel Customer Relationship Marketing Descriptive Statistics N Minimum Maximum Sum Mean Std. Deviation Skewness Kurtosis Statistic Statistic
More informationStatistical Models of Stocks and Bonds. Zachary D Easterling: Department of Economics. The University of Akron
Statistical Models of Stocks and Bonds Zachary D Easterling: Department of Economics The University of Akron Abstract One of the key ideas in monetary economics is that the prices of investments tend to
More informationCHAPTER 6 DATA ANALYSIS AND INTERPRETATION
208 CHAPTER 6 DATA ANALYSIS AND INTERPRETATION Sr. No. Content Page No. 6.1 Introduction 212 6.2 Reliability and Normality of Data 212 6.3 Descriptive Analysis 213 6.4 Cross Tabulation 218 6.5 Chi Square
More informationAGRICULTURE POTFOLIO MODEL MODEL TWO. Keywords: Decision making under uncertainty, efficient portfolio, variance analysis, MOTAD
AGRICULTURE POTFOLIO MODEL MODEL TWO Keywords: Decision making under uncertainty, efficient portfolio, variance analysis, MOTAD DATA Net income from three crops per acre of land (Income in thousand dollar
More informationCalculating Basic Statistical Procedures in SPSS: A Self-Help and Practical Guide to Preparing Theses, Dissertations, and Manuscripts
Calculating Basic Statistical Procedures in SPSS: A Self-Help and Practical Guide to Preparing Theses, Dissertations, and Manuscripts By: John R. Slate Ana Rojas-LeBouef Calculating Basic Statistical
More informationStat 328, Summer 2005
Stat 328, Summer 2005 Exam #2, 6/18/05 Name (print) UnivID I have neither given nor received any unauthorized aid in completing this exam. Signed Answer each question completely showing your work where
More informationDiploma Part 2. Quantitative Methods. Examiner s Suggested Answers
Diploma Part 2 Quantitative Methods Examiner s Suggested Answers Question 1 (a) The binomial distribution may be used in an experiment in which there are only two defined outcomes in any particular trial
More informationiskills & Proficiency Profile (PP) Report
1 iskills & Proficiency Profile (PP) Report Descriptive Statistics & Correlations Report Submitted: Aug 17, 2011 Perry Deess, Director, Institutional Research & Planning orbert Elliot, Chair, Middle States
More informationSPSS Reliability Example
Psy 495 Psychological Measurement, Spring 2017 1 SPSS Reliability Example Menus To obtain descriptive statistics, such as mean, variance, skew, and kurtosis. Analyze Descriptive Statistics Descriptives
More informationSPSS t tests (and NP Equivalent)
SPSS t tests (and NP Equivalent) Descriptive Statistics To get all the descriptive statistics you need: Analyze > Descriptive Statistics>Explore. Enter the IV into the Factor list and the DV into the Dependent
More informationchapter 2-3 Normal Positive Skewness Negative Skewness
chapter 2-3 Testing Normality Introduction In the previous chapters we discussed a variety of descriptive statistics which assume that the data are normally distributed. This chapter focuses upon testing
More informationCHAPTER IV ANALYSIS OF THE ROLE AND IMPACT MADE BY KFC IN THE DEVELOPMENT OF TOURISM INDUSTRY IN KERALA
CHAPTER IV ANALYSIS OF THE ROLE AND IMPACT MADE BY KFC IN THE DEVELOPMENT OF TOURISM INDUSTRY IN KERALA This chapter explains the role played and the impact made by KFC in the development of tourism industry
More informationLAMPIRAN 1. adalah 26,7 %. Jumlah energi 1 gr Lemak = 9 Kkal. Perhitungan asam lemak trans 5 % = 26,7 % X 84,425 gr X 9 Kkal/gr = 202,86
LAMPIRAN 1 Komposisi diet hewan coba (Sumber Research Diets Inc, 21 Oktober 2011 ) Komponen pangan Jumlah gm % kcal % gm % kcal % Protein 24 20 24 20 Carbohydrate 41 35 41 35 Fat 24 45 24 45 Total 100
More information~ Credit Card Survey of USC Students ~ Results from Spring 2002
~ Credit Card Survey of USC Students ~ Results from Spring 2002 The Credit Card Survey of USC Students was administered during the Spring 2002 semester to collect information about 1) students use of credit
More informationDescriptive Statistics
Petra Petrovics Descriptive Statistics 2 nd seminar DESCRIPTIVE STATISTICS Definition: Descriptive statistics is concerned only with collecting and describing data Methods: - statistical tables and graphs
More informationSummary of Information from Recapitulation Report Submittals (DR-489 series, DR-493, Central Assessment, Agricultural Schedule):
County: Martin Study Type: 2014 - In-Depth The department approved your preliminary assessment roll for 2014. Roll approval statistical summary reports and graphics for 2014 are attached for additional
More informationAn Empirical Investigation Into Investor Awareness of Modern Investment Avenues- A Case Study of Kharar, Punjab. Tejinder Singh 1
An Empirical Investigation Into Investor Awareness of Modern Investment Avenues- A Case Study of Kharar, Punjab Tejinder Singh 1 1 Asst.Prof, Apex Institute of Technology, Chandigarh University-Gharuan,
More informationAssessing The Financial Literacy Level Among Women in India: An Empirical Study
Assessing The Financial Literacy Level Among Women in India: An Empirical Study Bernadette D Silva *, Stephen D Silva ** and Roshni Subodhkumar Bhuptani *** Abstract Financial Inclusion cannot be achieved
More informationCAPITAL BUDGETING AND RISK MANAGEMENT IN SMALL AND MEDIUM ENTERPRISES
CAPITAL BUDGETING AND RISK MANAGEMENT IN SMALL AND MEDIUM ENTERPRISES By Yusuf R. Babatunde, Ph.D Department of Accounting and Finance, Lagos State University, Ojo. Bolarinwa S. Abike Department of Accounting
More informationLAMPIRAN 1: OUTPUT SPSS
LAMPIRAN : OUTPUT SPSS Statistik Deskriptif Descriptive Statistics N Minimum Maximum Mean Std. Deviation Daabs 95.0022.0902.03744.0226569 CAR 95.0789.339.43306.0463305 RORA 95 -.447.8074.052244.29802 ROA
More informationActuarial Research on the Effectiveness of Collision Avoidance Systems FCW & LDW. A translation from Hebrew to English of a research paper prepared by
Actuarial Research on the Effectiveness of Collision Avoidance Systems FCW & LDW A translation from Hebrew to English of a research paper prepared by Ron Actuarial Intelligence LTD Contact Details: Shachar
More informationData screening, transformations: MRC05
Dale Berger Data screening, transformations: MRC05 This is a demonstration of data screening and transformations for a regression analysis. Our interest is in predicting current salary from education level
More informationStat 101 Exam 1 - Embers Important Formulas and Concepts 1
1 Chapter 1 1.1 Definitions Stat 101 Exam 1 - Embers Important Formulas and Concepts 1 1. Data Any collection of numbers, characters, images, or other items that provide information about something. 2.
More informationQuantitative Methods
THE ASSOCIATION OF BUSINESS EXECUTIVES DIPLOMA PART 2 QM Quantitative Methods afternoon 27 November 2002 1 Time allowed: 3 hours. 2 Answer any FOUR questions. 3 All questions carry 25 marks. Marks for
More informationHASIL PENELITIAN BERUPA OUTPUT SPSS
VARIABEL INDEPENDEN HASIL PENELITIAN BERUPA OUTPUT SPSS 1. RATA-RATA ASUPAN ENERGI UJI NORMALITAS DATA Rata2AsupanE 70 100.0% 0.0% 70 100.0% Descriptives Rata2AsupanE 1375.77 44.068 Lower Bound 1287.85
More informationDETERMINANTS OF HOUSEHOLD SAVING BEHAVIOUR A SPECIAL REFERENCE IN VELLAVELY DIVISIONAL SECRETARIAT DIVISION OF BATTICALOA DISTRICT.
DETERMINANTS OF HOUSEHOLD SAVING BEHAVIOUR A SPECIAL REFERENCE IN VELLAVELY DIVISIONAL SECRETARIAT DIVISION OF BATTICALOA DISTRICT. Kanthaiya Gobiga Discipline of Economics, Faculty of Arts and Culture,
More informationSTA2601. Tutorial letter 105/2/2018. Applied Statistics II. Semester 2. Department of Statistics STA2601/105/2/2018 TRIAL EXAMINATION PAPER
STA2601/105/2/2018 Tutorial letter 105/2/2018 Applied Statistics II STA2601 Semester 2 Department of Statistics TRIAL EXAMINATION PAPER Define tomorrow. university of south africa Dear Student Congratulations
More informationLAMPIRAN IV PENGUJIAN HIPOTESIS
LAMPIRAN IV PENGUJIAN HIPOTESIS 89 NORMALITAS I Explore Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent 390 00.0% 0.0% 390 00.0% Descriptives Mean 95% Confidence Interval
More informationDATA SUMMARIZATION AND VISUALIZATION
APPENDIX DATA SUMMARIZATION AND VISUALIZATION PART 1 SUMMARIZATION 1: BUILDING BLOCKS OF DATA ANALYSIS 294 PART 2 PART 3 PART 4 VISUALIZATION: GRAPHS AND TABLES FOR SUMMARIZING AND ORGANIZING DATA 296
More informationRELATIONSHIP BETWEEN RETIREMENT WEALTH AND HOUSEHOLDERS PERSONAL FINANCIAL AND INVESTMENT BEHAVIOR
Man In India, 96 (5) : 1521-1529 Serials Publications RELATIONSHIP BETWEEN RETIREMENT WEALTH AND HOUSEHOLDERS PERSONAL FINANCIAL AND INVESTMENT BEHAVIOR V. N. Sailaja * and N. Bindu Madhavi * This cross
More informationASDA2 ANALYSIS EXAMPLE REPLICATION SPSS C5
ASDA2 ANALYSIS EXAMPLE REPLICATION SPSS C5 SAS DATA='P:\ASDA 2\Data sets\nhanes 2011_2012\nhanes1112_sub_8aug2016.sas7bdat'. DATASET NAME DataSet2 WINDOW=FRONT. DATASET NAME DataSet1 WINDOW=FRONT. USE
More informationCustomer Preference towards Life Insurance Policies
Volume 118 No. 20 2018, 521-535 ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Customer Preference towards Life Insurance Policies Dr. Gunita Arun Chandhok Director, Guru Nanak College,
More informationLAB NOTES: EXAMPLES OF PRELIS RUNS
LAB NOTES: EXAMPLES OF PRELIS RUNS PRELIS 2 is a data preprocessor for processing data in preparation for estimating a structural equation model in LISREL 8 or 9. For information on reading data into PRELIS,
More informationMonetary Economics Measuring Asset Returns. Gerald P. Dwyer Fall 2015
Monetary Economics Measuring Asset Returns Gerald P. Dwyer Fall 2015 WSJ Readings Readings this lecture, Cuthbertson Ch. 9 Readings next lecture, Cuthbertson, Chs. 10 13 Measuring Asset Returns Outline
More informationThe evolution and the prospects of contemporary financial instruments in Greece: The case of swaps
The evolution and the prospects of contemporary financial instruments in Greece: The case of swaps Agorasti Olympia, Blanas George Department of Business Administration, TEI of Larissa, GR Pavlos Golemis
More informationThe FREQ Procedure. Table of Sex by Gym Sex(Sex) Gym(Gym) No Yes Total Male Female Total
Jenn Selensky gathered data from students in an introduction to psychology course. The data are weights, sex/gender, and whether or not the student worked-out in the gym. Here is the output from a 2 x
More informationCalculating the Probabilities of Member Engagement
Calculating the Probabilities of Member Engagement by Larry J. Seibert, Ph.D. Binary logistic regression is a regression technique that is used to calculate the probability of an outcome when there are
More informationEcon 3790: Business and Economics Statistics. Instructor: Yogesh Uppal
Econ 3790: Business and Economics Statistics Instructor: Yogesh Uppal Email: yuppal@ysu.edu Chapter 12 Goodness of Fit Test: A Multinomial Population Test of Independence Hypothesis (Goodness of Fit) Test
More informationFull file at
Frequency CHAPTER 2 Descriptive Statistics: Tabular and Graphical Methods 2.1 Constructing either a frequency or a relative frequency distribution helps identify and quantify patterns in how often various
More informationTable of Contents. New to the Second Edition... Chapter 1: Introduction : Social Research...
iii Table of Contents Preface... xiii Purpose... xiii Outline of Chapters... xiv New to the Second Edition... xvii Acknowledgements... xviii Chapter 1: Introduction... 1 1.1: Social Research... 1 Introduction...
More informationDescriptive Statistics in Analysis of Survey Data
Descriptive Statistics in Analysis of Survey Data March 2013 Kenneth M Coleman Mohammad Nizamuddiin Khan Survey: Definition A survey is a systematic method for gathering information from (a sample of)
More informationSFSU FIN822 Project 1
SFSU FIN822 Project 1 This project can be done in a team of up to 3 people. Your project report must be accompanied by printouts of programming outputs. You could use any software to solve the problems.
More informationContents. An Overview of Statistical Applications CHAPTER 1. Contents (ix) Preface... (vii)
Contents (ix) Contents Preface... (vii) CHAPTER 1 An Overview of Statistical Applications 1.1 Introduction... 1 1. Probability Functions and Statistics... 1..1 Discrete versus Continuous Functions... 1..
More informationChapter 4 How To Do Cross-Tabs In Spss 10.0/11.0
How To Do Cross-Tabs In Spss 10.0/11.0 Now, let us do a cross-tabulation for population density and political complexity. To start: 1. IN MENU LINE CHOOSE: ANALYZE DESCRIPTIVE STATISTICS CROSSTABS You
More informationINTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND KNOWLEDGE
INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND KNOWLEDGE ISSN-2213-1356 www.ijirk.com THE INFLUENCE OF DIVIDEND POLICY, INVESTMENT OPPORTUNITY, AND PROFITABILITY OF DEBT POLICY TOWARD INDUSTRIES IN CONSUMPTION
More informationLampiran 1 Lampiran 1 Data Keuangan Bank konvensional
Lampiran 1 Lampiran 1 Data Keuangan Bank konvensional BANK YEAR Z-Score TOTAL ASET (milyar rupiah) ROA (%) NPL (%) BI RATE (%) KURS (rupiah) BNI 1.9 5.51.9 1.9.5 919.5 11 7.71 99.5.9.17 915.7 1 7.7 333.3.9.
More informationOverview/Outline. Moving beyond raw data. PSY 464 Advanced Experimental Design. Describing and Exploring Data The Normal Distribution
PSY 464 Advanced Experimental Design Describing and Exploring Data The Normal Distribution 1 Overview/Outline Questions-problems? Exploring/Describing data Organizing/summarizing data Graphical presentations
More informationSubject CS1 Actuarial Statistics 1 Core Principles. Syllabus. for the 2019 exams. 1 June 2018
` Subject CS1 Actuarial Statistics 1 Core Principles Syllabus for the 2019 exams 1 June 2018 Copyright in this Core Reading is the property of the Institute and Faculty of Actuaries who are the sole distributors.
More informationApplication of statistical methods in the determination of health loss distribution and health claims behaviour
Mathematical Statistics Stockholm University Application of statistical methods in the determination of health loss distribution and health claims behaviour Vasileios Keisoglou Examensarbete 2005:8 Postal
More informationRandom Variables and Probability Distributions
Chapter 3 Random Variables and Probability Distributions Chapter Three Random Variables and Probability Distributions 3. Introduction An event is defined as the possible outcome of an experiment. In engineering
More informationFull file at Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations
Descriptive Statistics: Tabular and Graphical Presentations Learning Objectives 1. Learn how to construct and interpret summarization procedures for qualitative data such as : frequency and relative frequency
More informationLampiran 1 Data Efektivits BPHTB
Lampiran 1 Data Efektivits BPHTB No Kecamatan Semester 1 Tahun 2011 Semester 2 Tahun 2011 Semester 1 Tahun 2012 Semester 2 Tahun 2012 Realisasi Potensi % Realisasi Potensi % Realisasi Potensi % Realisasi
More informationCHAPTER 6. ' From the table the z value corresponding to this value Z = 1.96 or Z = 1.96 (d) P(Z >?) =
Solutions to End-of-Section and Chapter Review Problems 225 CHAPTER 6 6.1 (a) P(Z < 1.20) = 0.88493 P(Z > 1.25) = 1 0.89435 = 0.10565 P(1.25 < Z < 1.70) = 0.95543 0.89435 = 0.06108 (d) P(Z < 1.25) or Z
More informationSTA 4504/5503 Sample questions for exam True-False questions.
STA 4504/5503 Sample questions for exam 2 1. True-False questions. (a) For General Social Survey data on Y = political ideology (categories liberal, moderate, conservative), X 1 = gender (1 = female, 0
More informationDescriptive Analysis
Descriptive Analysis HERTANTO WAHYU SUBAGIO Univariate Analysis Univariate analysis involves the examination across cases of one variable at a time. There are three major characteristics of a single variable
More informationCHAPTER 4 DATA ANALYSIS Data Hypothesis
CHAPTER 4 DATA ANALYSIS 4.1. Data Hypothesis The hypothesis for each independent variable to express our expectations about the characteristic of each independent variable and the pay back performance
More informationCopyrighted 2007 FINANCIAL VARIABLES EFFECT ON THE U.S. GROSS PRIVATE DOMESTIC INVESTMENT (GPDI)
FINANCIAL VARIABLES EFFECT ON THE U.S. GROSS PRIVATE DOMESTIC INVESTMENT (GPDI) 1959-21 Byron E. Bell Department of Mathematics, Olive-Harvey College Chicago, Illinois, 6628, USA Abstract I studied what
More informationLecture Week 4 Inspecting Data: Distributions
Lecture Week 4 Inspecting Data: Distributions Introduction to Research Methods & Statistics 2013 2014 Hemmo Smit So next week No lecture & workgroups But Practice Test on-line (BB) Enter data for your
More informationEffect of Change Management Practices on the Performance of Road Construction Projects in Rwanda A Case Study of Horizon Construction Company Limited
International Journal of Scientific and Research Publications, Volume 6, Issue 0, October 206 54 ISSN 2250-353 Effect of Change Management Practices on the Performance of Road Construction Projects in
More informationBrand Awareness of Life Insurances in Sivaganga District
Brand Awareness of Life Insurances in Sivaganga District R.Karthick 1 and Dr.K.Chandrasekar 2 1 Research Scholar, Alagappa Institute of Management, Alagappa University, Karaikudi, Tamilnadu, India. 2 Assistant
More informationIJBARR E- ISSN X ISSN ROLE OF PLANNING IN THE FINANCIAL DECISION MAKING OF INDIVIDUALS
ROLE OF PLANNING IN THE FINANCIAL DECISION MAKING OF INDIVIDUALS Dr.P.Maheswari Associate Professor, Kasturba Gandhi College for Women, West Marredpally, Secunderabad, India. INTRODUCTION The globalization
More informationDETERMINANTS OF FINANCIAL STRUCTURE OF GREEK COMPANIES
Gargalis PANAGIOTIS Doctoral School of Economics and Business Administration Alexandru Ioan Cuza University of Iasi, Romania DETERMINANTS OF FINANCIAL STRUCTURE OF GREEK COMPANIES Empirical study Keywords
More informationDazStat. Introduction. Installation. DazStat is an Excel add-in for Excel 2003 and Excel 2007.
DazStat Introduction DazStat is an Excel add-in for Excel 2003 and Excel 2007. DazStat is one of a series of Daz add-ins that are planned to provide increasingly sophisticated analytical functions particularly
More informationEconomics 483. Midterm Exam. 1. Consider the following monthly data for Microsoft stock over the period December 1995 through December 1996:
University of Washington Summer Department of Economics Eric Zivot Economics 3 Midterm Exam This is a closed book and closed note exam. However, you are allowed one page of handwritten notes. Answer all
More informationIOP 201-Q (Industrial Psychological Research) Tutorial 5
IOP 201-Q (Industrial Psychological Research) Tutorial 5 TRUE/FALSE [1 point each] Indicate whether the sentence or statement is true or false. 1. To establish a cause-and-effect relation between two variables,
More informationHow the Survey was Conducted
How the Survey was Conducted Nature of the Sample: Exclusive Point Taken-Marist Poll of 572 This survey of 572 adults was conducted April 14 th 2016 by The Marist Poll sponsored and funded in partnership
More informationA Study of Stock Return Distributions of Leading Indian Bank s
Global Journal of Management and Business Studies. ISSN 2248-9878 Volume 3, Number 3 (2013), pp. 271-276 Research India Publications http://www.ripublication.com/gjmbs.htm A Study of Stock Return Distributions
More informationSPSS I: Menu Basics Practice Exercises Target Software & Version: SPSS V Last Updated on January 17, 2007 Created by Jennifer Ortman
SPSS I: Menu Basics Practice Exercises Target Software & Version: SPSS V. 14.02 Last Updated on January 17, 2007 Created by Jennifer Ortman PRACTICE EXERCISES Exercise A Obtain descriptive statistics (mean,
More informationANALYSISS. tendency of. Bank X is. one of the. Since. is various. customer of. Bank X. geographic, service. Figure 4.1 0% 0% 5% 15% 0% 1% 27% 16%
CHAPTER 4 ANALYSISS In this chapter the author discuss about the issues raised in the research include the trend of ATM and DEBIT usage as well as the tendency of customers that use the transaction using
More informationChapter 6 Simple Correlation and
Contents Chapter 1 Introduction to Statistics Meaning of Statistics... 1 Definition of Statistics... 2 Importance and Scope of Statistics... 2 Application of Statistics... 3 Characteristics of Statistics...
More informationImpact of Unemployment and GDP on Inflation: Imperial study of Pakistan s Economy
International Journal of Current Research in Multidisciplinary (IJCRM) ISSN: 2456-0979 Vol. 2, No. 6, (July 17), pp. 01-10 Impact of Unemployment and GDP on Inflation: Imperial study of Pakistan s Economy
More informationChapter 6 Part 3 October 21, Bootstrapping
Chapter 6 Part 3 October 21, 2008 Bootstrapping From the internet: The bootstrap involves repeated re-estimation of a parameter using random samples with replacement from the original data. Because the
More informationThe Application of the Theory of Power Law Distributions to U.S. Wealth Accumulation INTRODUCTION DATA
The Application of the Theory of Law Distributions to U.S. Wealth Accumulation William Wilding, University of Southern Indiana Mohammed Khayum, University of Southern Indiana INTODUCTION In the recent
More informationRationale. Learning about return and risk from the historical record and beta estimation. T Bills and Inflation
Learning about return and risk from the historical record and beta estimation Reference: Investments, Bodie, Kane, and Marcus, and Investment Analysis and Behavior, Nofsinger and Hirschey Nattawut Jenwittayaroje,
More information**BEGINNING OF EXAMINATION** A random sample of five observations from a population is:
**BEGINNING OF EXAMINATION** 1. You are given: (i) A random sample of five observations from a population is: 0.2 0.7 0.9 1.1 1.3 (ii) You use the Kolmogorov-Smirnov test for testing the null hypothesis,
More informationMBEJ 1023 Dr. Mehdi Moeinaddini Dept. of Urban & Regional Planning Faculty of Built Environment
MBEJ 1023 Planning Analytical Methods Dr. Mehdi Moeinaddini Dept. of Urban & Regional Planning Faculty of Built Environment Contents What is statistics? Population and Sample Descriptive Statistics Inferential
More informationFinancial Econometrics Jeffrey R. Russell. Midterm 2014 Suggested Solutions. TA: B. B. Deng
Financial Econometrics Jeffrey R. Russell Midterm 2014 Suggested Solutions TA: B. B. Deng Unless otherwise stated, e t is iid N(0,s 2 ) 1. (12 points) Consider the three series y1, y2, y3, and y4. Match
More informationDividend Policy and Stock Price to the Company Value in Pharmaceutical Company s Sub Sector Listed in Indonesia Stock Exchange
International Journal of Law and Society 2018; 1(1): 16-23 http://www.sciencepublishinggroup.com/j/ijls doi: 10.11648/j.ijls.20180101.13 Dividend Policy and Stock Price to the Company Value in Pharmaceutical
More informationSOLUTIONS TO THE LAB 1 ASSIGNMENT
SOLUTIONS TO THE LAB 1 ASSIGNMENT Question 1 Excel produces the following histogram of pull strengths for the 100 resistors: 2 20 Histogram of Pull Strengths (lb) Frequency 1 10 0 9 61 63 6 67 69 71 73
More informationECON Introductory Econometrics. Lecture 1: Introduction and Review of Statistics
ECON4150 - Introductory Econometrics Lecture 1: Introduction and Review of Statistics Monique de Haan (moniqued@econ.uio.no) Stock and Watson Chapter 1-2 Lecture outline 2 What is econometrics? Course
More informationLecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 7.4-1
Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Section 7.4-1 Chapter 7 Estimates and Sample Sizes 7-1 Review and Preview 7- Estimating a Population
More informationBUSI 444 Suggested Answers to Review and Discussion Questions: Lesson 7
BUSI 444 Suggested Answers to Review and Discussion Questions: Lesson 7 1. Use Analyze Descriptive Statistics Descriptives to calculate the standard deviation and mean for each variable. Then manually
More informationLab#3 Probability
36-220 Lab#3 Probability Week of September 19, 2005 Please write your name below, tear off this front page and give it to a teaching assistant as you leave the lab. It will be a record of your participation
More informationSolution to Exercise E5.
Solution to Exercise E5. The Multiple Regression Model. Estimation. Exercise E5.1. Beach umbrella rental Part I. Simple Linear Regression Model. a. Regression model: U t = β 1 + β 2 T t + u t t = 1,...,
More informationMemorandum. Human Resources Division
Memorandum Human Resources Division TO: FROM: RE: Vacellia Clark, Chief Examiner Civil Service Commission Human Resources Staff Establish a Passing Score for Animal Control Officer DATE: October 30, 2013
More informationSpreadsheet Directions
The Best Summer Job Offer Ever! Spreadsheet Directions Before beginning, answer questions 1 through 4. Now let s see if you made a wise choice of payment plan. Complete all the steps outlined below in
More informationStatistics TI-83 Usage Handout
Statistics TI-83 Usage Handout This handout includes instructions for performing several different functions on a TI-83 calculator for use in Statistics. The Contents table below lists the topics covered
More informationAppendixes Appendix 1 Data of Dependent Variables and Independent Variables Period
Appendixes Appendix 1 Data of Dependent Variables and Independent Variables Period 1-15 1 ROA INF KURS FG January 1,3,7 9 -,19 February 1,79,5 95 3,1 March 1,3,7 91,95 April 1,79,1 919,71 May 1,99,7 955
More informationEXAMINE TRADE FINANCE METHODS USED BY TRADING COMPANIES GLOBALLY AND EVALUATE THEIR EFFECTIVENESS
EXAMINE TRADE FINANCE METHODS USED BY TRADING COMPANIES GLOBALLY AND EVALUATE THEIR EFFECTIVENESS TEOH TEIK TOE (James Cook University Australia Singapore Campus) Werner R. Murhadi (Universitas Surabaya,
More informationCUSTOMER AWARENESS REGARDING BANKING SERVICES
CUSTOMER AWARENESS REGARDING BANKING SERVICES The analysis of the customer survey conducted for the present study starts with this chapter. The chapter has been organised into two sections. The first section
More informationOne Way ANOVA with Tukey Post hoc. Case Processing Summary
EXAMINE VARIABLES=Score BY Group /PLOT BOXPLOT NPPLOT /COMPARE GROUP /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL. Explore Group One Way ANOVA with Tukey Post hoc Case Processing Summary
More informationLESSON 7 INTERVAL ESTIMATION SAMIE L.S. LY
LESSON 7 INTERVAL ESTIMATION SAMIE L.S. LY 1 THIS WEEK S PLAN Part I: Theory + Practice ( Interval Estimation ) Part II: Theory + Practice ( Interval Estimation ) z-based Confidence Intervals for a Population
More informationStudy 2: data analysis. Example analysis using R
Study 2: data analysis Example analysis using R Steps for data analysis Install software on your computer or locate computer with software (e.g., R, systat, SPSS) Prepare data for analysis Subjects (rows)
More informationCeria Minati Singarimbun and Ana Noveria School of Business and Management Institut Teknologi Bandung, Indonesia
JOURNAL OF BUSINESS AND MANAGEMENT Vol. 3, No.4, 2014: 401-409 THE RELATIONSHIP AMONG OIL PRICES, GOLD PRICES, GROSS DOMESTIC PRODUCT, AND INTEREST RATE TO THE STOCK MARKET RETURN OF BASIC INDUSTRY AND
More informationLecture 2 Describing Data
Lecture 2 Describing Data Thais Paiva STA 111 - Summer 2013 Term II July 2, 2013 Lecture Plan 1 Types of data 2 Describing the data with plots 3 Summary statistics for central tendency and spread 4 Histograms
More informationProblem Set 4 Answer Key
Economics 31 Menzie D. Chinn Fall 4 Social Sciences 7418 University of Wisconsin-Madison Problem Set 4 Answer Key This problem set is due in lecture on Wednesday, December 1st. No late problem sets will
More informationSimulation Lecture Notes and the Gentle Lentil Case
Simulation Lecture Notes and the Gentle Lentil Case General Overview of the Case What is the decision problem presented in the case? What are the issues Sanjay must consider in deciding among the alternative
More information