...Introduction to SPSS INTRODUCTION TO SPSS Dr. Sarimah binti Abdullah. M.D(USM) MCommMed.(Epid & Biostat) (USM) • SPSS environment • Describe the menu options & toolbars Unit of Biostatistics & Research Methodology Universiti Sains Malaysia SPSS Environment • Data editor – Data view – Variable view • Viewer - output • Pivot table editor • Chart editor • Text output editor • Syntax editor • Script editor Data editor - Data view - Variable view Viewer – output – Display all statistical result • Tables • Charts – Allow to edit – Save – Access to • pivot table editor • Text output editor • Chart editor • Move between SPSS and other application Viewer - output Pivot table editor 1 Chart editor • Edit – – – – – Colour Font Axes Rotation Chart type ENTER VARIABLES ENTER VARIABLES ENTER VARIABLES ENTER DATA 2 ENTER DATA SAVE EDIT VIEW SELECT CASES 1 3 2 6 4 5 7 3 TRANSFORM : Compute ALL CASES DELETE BMI = wt(kg)/ht(m)2 TRANSFORM : Recode BMI Categorize TRANSFORM : Recode BMI_gp : 1. Underweight =23 BMI_gp 1. Underweight 2. Normal 3. Overweight 1 DESCRIPTIVE STATISTICS 6th basic data 2 2 3 9 4 6 8 5 7 4 OUTPUT Statistics N Valid Missing gender 10 0 race 10 0 gender Frequency 5 5 10 Percent 50.0 50.0 100.0 race Frequency 6 3 1 10 Percent 60.0 30.0 10.0 100.0 Valid Percent 60.0 30.0 10.0 100.0 Cumulative Percent 60.0 90.0 100.0 IHD 10 0 BMI_gp 10...
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...tkachwala@nmims.edu, Cabin number: 729, Mobile: 9869166393, Extension: 5871) | Pedagogy: 1. Use of problem solving for all the topics. 2. Use of Statistics in Practice / Case lets / Case studies. 3. Use of Software like Excel / SPSS. | Session Outline: | Session | Topic / Description | 1 | Introduction to Probability – Experiments, Assigning Probabilities, Some basic relationships of Probability Read ASW Chapter 4 or LR Chapter 4 | 2 | Theories of Probability - Classical theory, Relative Frequency theory, Axioms, Addition rule, Multiplication rule, Rule of at least one, Concept of Expected number of Success – Numerical Problems & Applications Case Problem: Hamilton County JudgesSIP: Morton International - Chicago, Illinois Read ASW Chapter 4 or LR Chapter 4 | 3 | Bayes Theorem – Theory, Problems & Applications, Probability revision using tabular approach Read ASW Chapter 4 or LR Chapter 4 | 4 | Probability Distribution - Meaning of Probability Distribution, Type of Probability Distribution, Need (Application) for Probability DistributionRead ASW Chapter 5 or LR Chapter 5 | 5 | Discrete Probability Distribution - Binomial Distribution – Applications, Numerical Problems, Excel & SPSS functions, Poisson Distribution...
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... Examination is on the 15 January 2013Forum * introduction * course informationfile * learning outcomeWord document * continuous assessmentfile | | | This topic1 | * Research Process * lecture 1 chap 1file * lect 1 chap 4file | | | 2 | * Searching for literature, Critically reviewing the literature * info searchWord document * lecture 2file * literature review extraPowerpoint presentation | | | 3 | * Problem Definition, Theoretical Framework and Hypothesis Development * lecture 3file * examples of problem statementsPowerpoint presentation * framework and hypothesis developmentPowerpoint presentation | | | 4 | * Research Design * lecture 7-1Powerpoint presentation * lecture 7-2Powerpoint presentation * lecture 7-3Powerpoint presentation * surveyfile | | | 5 | * Selecting sample * samplingPowerpoint presentation | | | 6 | * Questionnaire Design * lecture 6Powerpoint presentation * lecture 6 part 2file * lecture 6 part 3Powerpoint presentation | | | 7 | * Distribution of questionnaire | | | 8 | * Introduction to SPSS, Preparation of Data Files and Data Screening * Notes on SPSS can be downloaded from http://anketimvar.net/documents/Using_SPSS_for_Windows.pdf orwww.dss.dpem.tuc.gr/pdf/SPSS%20Survival%20Manual.pdf | | | 9 | * Descriptive Statistics and Correlation T-test and ANOVA * To know more on SPSS please view the following :http://www.youtube...
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...One Way ANOVA using SPSS Introduction The one-way analysis of variance (ANOVA) is used to determine whether there are any significant differences between the means of two or more independent (unrelated) groups (although you tend to only see it used when there are a minimum of three, rather than two groups). For example, you could use a one-way ANOVA to understand whether exam performance differed based on test anxiety levels amongst students, dividing students into three independent groups (e.g., low, medium and high-stressed students). It is important to realise that the one-way ANOVA is an omnibus test statistic and cannot tell you which specific groups were significantly different from each other; it only tells you that at least two groups were different. Since you may have three, four, five or more groups in your study design, determining which of these groups differ from each other is important. You can do this using a post-hoc test (N.B., we discuss post-hoc tests later in this guide) Example A manager wants to raise the productivity at his company by increasing the speed at which his employees can use a particular spreadsheet program. As he does not have the skills in-house, he employs an external agency which provides training in this spreadsheet program. They offer 3 courses: a beginner, intermediate and advanced course. He is unsure which course is needed for the type of work they do at his company, so he sends 10 employees on the beginner course, 10 on the intermediate...
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...FAKULTI PERUBATAN UNIVERSITI KEBANGSAAN MALAYSIA IJAZAH SARJANA MUDA SAINS PERUBATAN KECEMASAN DENGAN KEPUJIAN SEMESTER II SESI 2015/2016 FFEP 2422-BIOSTATISTIK SINOPSIS KURSUS: Objektif kursus ini adalah untuk menyediakan pelajar yang berkebolehan berfikir secara kritis dan boleh menggunakan pengetahuan yang diperolehi untuk penyelidikan. Pelajar akan didedahkan dengan statistik terutama pengunaan SPSS dalam analisa data kajian. OBJEKTIF: Pada akhir kursus ini calon semestinya berupaya: 1. Mengetahui penggunaan statistik di dalam bidang penyelidikan 2. Mengolah dan menyaji data. 3. Menguasai penggunaan SPSS dalam menganalisa data klinikal 4. Menggunakan kaedah mengikhtisarkan data yang sesuai. 5. Menggunakan ujian statistik yang sesuai untuk menganalisa data kualitatif dan kuantitatif. 6. Menggunakan ujian tak berparameter sesuai dengan ciri-ciri data yang diperolehi. CARA PENGAJARAN Kursus akan dijalankan secara kuliah, tutorials, tugasan dan praktikal di makmal komputer. ANGGOTA PENGAJAR: Penyelaras: Dr Mohd Rohaizat Hassan ( 012-6343303/ rohaizat@ppukm.ukm.edu.my) Pensyarah: Dr Mohd Rohaizat Hassan Dr Nazarudin Safian PENILAIAN Kursus akan dinilai secara penilaian berterusan dan peperiksaan akhir. Penilaian berterusan(40%) :1 = Ujian mini (20%) :1 = Computer based exam (20%) Peperiksaan akhir (60%) :Ujian bertulis (40%) :OBA (20%) RUJUKAN 1. Kirkwood B.R(1988) Essentials of Medical Statistics. Blackwell...
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... |Page No. | |Module Leader and Teaching Team Details |3 | | | | |Facts and figures |5 | | | | |Section A Overview and Content | | |1 Welcome and Introduction to the Module |6 | |2 Administrative and Technical Support |6 | |3...
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...STAT582 HW7 Review of Two Statistical Software Packages – Minitab and SPSS Yan Sun As a statistician, have you ever got stuck in front of your computer, trying to figure out the correct syntax of a command to type into the little programming window, and just could not get it right? At that moment, I am sure you would wish there was some magic easy button that you could just click and then things would work the way they should. Well, magic does not happen everyday. However, some better choices can make life easier. Instead of using programmed command lines, some statistical software make their usage much easier by using a menu-driven interface. This kind of software are like well-organized control panels. Each of the things you need to do is controlled by a button somewhere on the panel. Once you get familiar with the layout of the panel, the actual work should be quite an enjoyable process. Several good menu-interface statistical software are available. Among them, Minitab and SPSS are the most widely used ones. This report serves as an introduction to these two software packages. For each of them, the software’s specialties, advantages, and suitability will be discussed. Some important functionalities, their implementations, and programming in the two software will be introduced. This report also includes ‘helpful resources’, which I personally found very helpful in learning and using the two software. 1. Minitab History Minitab was...
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...SPSS Instruction Manual University of Waterloo Department of Statistics and Actuarial Science September 1, 1998 Table Of Contents Page Before Using This Manual……………………………………………………………………………….3 Introduction to SPSS……………………………………………………………………………………..4 SPSS Basics……………………………………………………………………………………………... 5 Tutorial 1: SPSS Windows.…………………………………………………………………………5 Tutorial 2: Starting A SPSS Session.……………………………………………………………...6 Tutorial 3: Getting Help on SPSS.………………………………………………………………… 6 Tutorial 4: Ending A SPSS Session.……………………………………………………………… 6 Creating and Manipulating Data in SPSS.……………………………………………………………. 7 Tutorial 1: Creating a New Data Set.……………………………………………………………... 7 Tutorial 2: Creating a New Data Set From Other File Formats.……………………………….10 Tutorial 3: Opening an Existing SPSS Data Set.………………………………………………. 16 Tutorial 4: Printing a Data Set.…………………………………………………………………… 16 Generating Descriptive Statistics in SPSS…………………………………………………………...17 Tutorial 1: Mean, Sum, Standard Deviation, Variance, Minimum Value, Maximum Value, and Range.……………………………………………………….. 17 Tutorial 2: Correlation.…………………………………………………………………………….. 18 Generating Graphical Statistics in SPSS……………………………………………………………..20 Tutorial 1: How to Generate Scatter Plots.………………………………………………………20 Tutorial 2: How to Generate A Histogram.………………….…………………………………... 22 Tutorial 3: How to Generate A Stem and Leaf Plot……………………………………………..23 Tutorial 4: How to Generate A Box Plot………………………………………………………….26 Statistical Models in SPSS……………………………………………………………………………...
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...Shanti Business School PGDM Batch 2015-17 Semester II Course Outline 1 Shanti Business School, Ahmedabad PGDM 2015-17: Program Structure Semester-1 Semester-2 Semester-3 Semester-4 Course credit Course credit Course credit Language Skills @ Written Analysis & Communication @ Soft skills II @ Employability Skills @ IT & MIS 2 Soft skills I @ Computing skills 2 Social Media Marketing @ 2 Legal Aspects of Business 2 Business Strategy 3 Management Control Systems 3 Micro Economics 3 Macro Economics 3 Business Environment 3 Business Ethics & Corporate Governance 2 Quantitative Methods-1 3 Business Research Methods 3 Quantitative Methods-2 3 Core Elective-1 3 Core Elective1 3 Core Elective-2 3 Core Elective2 3 Elective-1 3 Elective-1 3 Elective-2 3 Elective-2 3 Grand Project-1 3 Grand Project-2 3 Principles of Management Basic Building Blocks Autumn Break Executive Skills Organisational Behavior Human Resources Management 3 Marketing Management 1 3 Marketing Management -2 3 Understanding Financial Statements 3 Financial Mgt 3 Operation Management Management Domain 3 3 Basics of Business Planning 2 Electives Credits Autumn Break credit SUMMER INTERNSHIP Course ...
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...subtitle] Contents PROBLEM STATEMENT 2 Research Objective 2 INTRODUCTION 2 Variable View in SPSS 3 Data View in SPSS 3 DESCRIPTIVE STATISTICS 4 Gender Statistics 4 BMI Health Statistics 4 Factors Influencing Exercise Participation 7 Factors Influencing Exercise Non- Participation 8 CONFIDENCE INTERVAL 9 CROSS-TABULATIONS WITH CHI-SQUARE ANALYSIS: 10 T-Test Analysis: 14 One-Sample T-Test: 14 Independent Sample T-Test: 16 Paired Sample T-Test: 17 FACTOR ANALYSIS 20 KMO measure of sampling adequacy 21 Bartlett’s test of sphericity 21 LINEAR MULTIPLE REGRESSION 21 Multiple Linear Regression Equation: 25 ONE-WAY ANOVA TEST 26 INTERPRETATION OF ATTITUDE SCALE 29 CONCLUSION 31 PROBLEM STATEMENT In what ways can IFMR improve the fitness level among its population by better analyzing factors influencing exercise participation & exercise non-participation. Research Objective The research attempts to analyze the fitness level of students in the IFMR, as well as ways to improve the fitness level and what exercise they do on regular basis to maintain their physical health. Moreover, a research objective is to collect statistical information of the students and the factors influencing exercise participation & non-participation. The data that was received from the questionnaires and the responses were further analyzed through statistical analysis with the help of SPSS. INTRODUCTION The report details the analysis made on the data collected from a sample...
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...Introduction The art and science of collecting, analyzing, presenting and interpreting data to make more effective decision. A collection of numerical information is called statistics. Statistical Data: According to Horace Secrist “By statistics we mean aggregate of facts affected to a marked extent by multiplicity of causes, numerically expressed, enumerated or estimated according to reasonable standard of accuracy, collected in a systematic manner for a pre-determined purpose and placed in relation to each other”. Features of This Definition Are: * Statistics are aggregate of facts. * Statistics are affected to a marked extent by multiplicity of causes. * Statistics are numerically expressed. * Statistics are enumerated or estimated according to reasonable standard of accuracy. * Statistics are collected in a systematic manner. * Statistics are for a pre-determined purpose. * Statistics should be placed in relation to each other. Functions of Statistics: * It presents facts in definite forms. * It simplifies mass of figures. * It facilitates comparison. * It helps in formulating and testing hypothesis. * It helps in prediction and * It helps in the formulation of suitable policies. Limitations of Statistics: * It does not deal with isolated measurements. * It deals only with quantitative characteristics. * Its results are true only on average. * It is only a means. * It can be misused. ...
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...Data analysis report Divine Elegance: A Restaurant Table of Contents Introduction 2 Preliminary Analysis 2 Data Screening and Hypothesis Testing 2 1. How much are potential patrons willing to pay for the entrées? Is the $18 amount from the forecasting model correct? 2 2. Can Michael expect all patrons to spend an average of $200 a month on food? 4 3. Which zip code area(s) provide the best location for the restaurant? Does the expected average monthly spend differ between potential patrons residing in different zip codes 6 4. Does the likelihood to patronize the restaurant different between people with different income levels? 8 5.How elegant should the décor be? Would potential patrons prefer simple or elegant décor? 9 6. Should there be live entertainment? Would potential patrons prefer a string quartet or a jazz combo? 10 7. Which radio station(s) should Michael select for advertising? Which type of radio programming do people most likely to patronize the restaurant listen to? 10 8. Can the likelihood of patronizing the restaurant be explained in terms of evaluations on restaurant preference variables (Variables 11-20), age, family size and gender – when all of these variables are considered simultaneously? (*Hint, you may need to recode the ‘Year Born’ variable to determine age). 11 9. Does the average age between a probable and non probable patron differ? 13 10. Is there a relationship between gender and whether or not someone is a probable patron...
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...Interpretation of SPSS output for Car Care Inc. Jacquelynn Patterson Liberty University Online Professor Lingley Busi 331-B01 October 7, 2013 1.0 Introduction Statistics in social sciences are an important aspect in making the understanding of social behaviors plausible in organizations, governments, marketers and other cohorts with same interest. Initially, statistical manipulations were conducted manually and obliged researchers to have formulas at their fingertips. This strenuous exercise was susceptible to shortcomings in case large volumes of data were to be analyzed. In addition, manual calculations depend on human nature that is vulnerable to ill health, emotional exhaustion and fatigue. As a result, there are many chances of making errors when dealing with manual calculations. This would finally affect the end results obtained. The above mentioned problems are likely to be amplified especially when dealing with a huge number of research subjects. If this is the case, it implies that marketing research data analysis would be the most vulnerable if manual statistical manipulations were embraced. This is because marketing research depends heavily on many respondents in order for the results to valid and reliable for making inferences to the whole population. Inevitably, marketers are bludgeoned into using statistical software that can handle large volumes of cases in a single command. This does not only reduce...
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...and midnight? Questions 1 & 2 again: According to William Garrett, "Reaction time peaks in the early evening at the same time as the maximum body temperature. This is partially because the nerve conduction velocity increases 2.4 meters per second (m/s) for every 1°C increase in body temperature." (Garret, William E., Exercise and Sport Science. New York: Lippincott Williams & Wilkins, 1999, p. 354.) Do you agree or disagree with Garrett? Question 3: Is there a strong relationship between the reaction time measurements from the “Sheep Tranquilizer Game” and the “Hit the Baseball Test”? Question 4: On average, is the human body temperate 98.6 You will write a report that answers the questions above. You will use SPSS to do the statistical analysis. You should answer the questions by applying all relevant class material. In particular, you should discuss your sample, construct appropriate graphs, calculate appropriate numerical measures, and make appropriate...
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...Blackboard: blackboard.neu.edu “MKTG 3401 Lassk Fall 2012” Text: Marketing Research, Malhotra, 6th Edition, 2010 – NU custom text. Prerequisites: MKTG 2201, MGSC 1201 and 64 SH toward the degree Course Description: This course focuses on the marketing research process and the analysis of data using SPSS statistical software. It gives students the opportunity to develop an understanding of consumer attitudes and behavior processes as the basis of the design of marketing problems. The course covers topics such as problem definition, research design, sampling, attitude measurement, questionnaire design, data collection, and data analysis. Statistical Package: SPSS is available as a 6-month rental for $35 plus $4.99 download fee. Details on how to access the rental are provided in the Tech Marketplace of MyNEU Portal under “Free and Discounted Software – More Software tab.” SPSS is also available for free through MyApps using MyFiles to house your data files. Please note, to access SPSS with MyApps on campus, you must be connected to “NU-Secure” wi fi. Details to access MyApps and“NU-Secure” wi fi is provided in the MyNEU portal. You must be able to access SPSS through either of these options by 9/19. For technical help, contact 617-373-HELP. Resource Help: Visit http://www.advising.neu.edu for all of the academic resources available to you. Of course, the first resource is your instructor. I have an open-door policy and welcome you to seek me out regarding...
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