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Subject: Assignment of the Quantitative and Qualitative Research Methodology

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SPSS Assignment

Suppose we have captured 1,500 records from Century 21 Real Estate Company. They have recorded the properties’ market values at Dec 31, 2010 & Dec 31, 2011.

1. Draw a histogram with properties’ building footages, and their market value in 2011. Discuss the characteristics of those 2 distributions.

2. Test whether the average property market value in 2011 is significantly different from $4,750,000 at 1% level of significance.

3. Suppose the 1,500 properties are separated into 2 districts: T.S.T. (Group 1) & Jordan (Group2). Test whether there is any difference between the 2 districts in year of 2010 at 1% level of significance (Assume Equal Variances).

4. Test whether the average property market value in 2010 is significantly different from those in 2011 at 3% level of significance.

Answers:

1. Draw a histogram with properties’ building footages, and their market value in 2011. Discuss the characteristics of those 2 distributions.

Answer:

The histograms, one shows the properties by their market values while another by their sizes in 2011 are showed below. The values of skewness and kurtosis of the first histogram in Figure 1.1 (that is, by the property market values) are 0.201 and -1.112 respectively, while the values for a normal distribution should be both zero (Table 1.1). The skewness value of 0.201 shows a slight pile-up of scores on the left of the distribution (the mean of $4.62 million is still close to the median of $4.36 million). The kurtosis value of -1.112 (a negative value) indicates the tails of the distributions are lighter than that of normal distribution.

Figure 1.1

On the other hand, the values of skewness and kurtosis of the second histogram in Figure…...

...Demonstration for solving the homework problem assigned on Jan 20. Use SPSS to compute the mean, median, standard deviation, and standard error of the mean for the following set of data. Report your results in an APA-style table of descriptive statistics. | |Score | | | | |Group 1 |4 4 5 6 4 | | | | |Group 2 |2 4 4 3 4 | | | | |Group 3 |6 4 4 5 6 | One of the first things you needed to do was figure out how to enter the data. Remember, on the SPSS data spreadsheet, rows contain cases, and columns contain variables. So, how many variables to we have. Certainly Score is a variable. Are there any other variables? Some careful thinking (also spending some time working through the various tutorials available) should have lead you to a realization that we need a group identifying variable, Group, say. So, the first thing I do, after starting SPSS, is to go to the Variable View tab (at the bottom of the SPSS Data Editor) and enter my two variable names (see Figure 1 below). |[pic] | |Figure 1 | Next, I switch to the Data View tab and enter the data for each variable (Figure 2). Everyone in group 1 gets a 1 under Group, those in...

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...SPSS 1 (13-11-2012) Definitie SPSS: Statistical Package for the Social Sciences, software om data in te voeren en te analyseren Variable view: opzet van de variabelen Name: naam variabele (bijv. vraag1), let op: geen spaties! Type: soort variabele, dus numeric (getal) en string (tekst, bij open vragen) Width: aantal tekens/cijfers (bij open vraag hoger dan gesloten vraag) Decimals: decimalen worden bijna nooit gebruikt, dus 0 Label: vraagstelling Values: codes voor variabelen (bijv. 0 nee, 1 ja) Missing: respondenten zien wel eens een vraag over het hoofd, wanneer je 99 invult bij missing houdt SPSS er bij de analyse rekening mee dat een vraag die niet is ingevuld gecodeerd wordt met 99 Colums: weergaveaspect, breed of smal Align: weergaveaspect, rechts links of midden uitlijnen Measure: meetniveau (ordinal, nominal, scale) Role: niet belangrijk, input Anders, nl voer je apart in (open vraag, dus string) Data view: daadwerkelijke gegevens (data van ingevulde enquêtes) Rijen vragen komen terug in kolommen, elke rij met een nummer (case nummer) is een respondent Value labels: laat zien in de data view wat de cijfers voor betekenis hebben Meetniveaus - Nominaal: nomen = ‘naam’, meetwaarden die benoemd worden (elk getal een naam, bijv. 0 = VVD, 1 = CDA), weergave circeldiagram - Ordinaal: nominaal met rangorde (Likertschaal, zit een opbouw in: zeer mee eens, mee eens, neutraal, niet mee eens), weergave staafdiagram - Interval: getallen, getallen......

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... How to Use and Apply SPSS Version 15.0 for Windows Notes This mini guide/ walkthrough is for SPSS 15.0 for Windows and was written in the Summer of 2010. If there are any changes/updates that apply afterwards, this document will not address them. Additionally, if a previous version (pre 15.0) is being used, this document might not fully apply. This said, the concepts behind what is being explained should still be the same, so long as the functions of the program remain similar. This guide is intended to give the reader a VERY basic understanding on how to use SPSS. This is also intended to be a crash course type of guide. The length of this document is indicative of how “in depth” this document goes. Furthermore, there is a lot that this document does not mention. If you want to perform a very thorough analysis with very in depth statistics, you can read the SPSS survival manual by Julie Pallant. Table of Contents * Preparations3 * Getting Started4 * Entering Data7 * Output Window9 * Walkthrough10 * Analysis10 * Graphing10 * Regression13 * Correlation14 * Testing15 * One Sample T-Test 15 * Independent Sample T-Test 17 * Paired Sample T-Test 18 * One Way ANOVA 20 * Hypothesis Testing Crash Course26 Preparations * Know that SPSS is for analyzing data from a statistical researcher’s point of view. The name SPSS stands for Statistical Package for the Social Sciences – SPSS. This means that this program is......

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...Comandos SPSS * Análise Fatorial: ANALYZE DESCRIPTIVE EXPLORE * Normality plots with tests Analyze Dimension reduction Factor Analysis Descriptives * Initial solution * Coefficients * KMO and Bartlett´s test of sphericity * Anti-image Extraction * Correlation matrix * Unrotated factor solution * Scree plot * Fixed number of factors * Maximum Iterations for Convergence Rotation * Direct Oblimin * Loading Plot Scores * Save as variables * Regression * Display factor score coefficient matrix TRANSFORM COMPUTE * Target Variable * Numeric Expression * Function group – All * Functions and Special Variables - Ln * Conglomerados: Graphs Legacy dialogs Scatter/Dot Simple * Y Axis * X Axis * Label Cases by Options * Exclude cases listwise * Display chart with case labels Analyze Classify Hierarquical Cluster Variables (s) Label Cases by Cluster * Cases Display * Statistics * Plots Statistics * Agglomeration schedule * Proximity matrix * None Plots * Dendogram * None Method * Nearest neighbor * Interval – Squared Euclidean distance * None Save * Single solution – Number of cluesters Analyze – Descriptive – Explore * Dependent List * Factor List * Display – Both Analyze – Classify – Kmeans * Variables * Label Cases by * Number of Clusters * Method – Iterate and......

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...PLS 676 – Homework Assignment #4 (Worth 37 points) Each correct answer is worth 1 point. Use the gss.sav data file to answer the following questions below. 1. In the 1996 election (PRES96), how did Clinton, Dole, and Perot supporters (ignore Other) differ? Use the MEANS procedure to answer the following questions: a. Whose supporters (Clinton, Dole, or Perot) were the oldest (AGE)? _________________________ b. Whose supporters (Clinton, Dole, or Perot) were the best educated (EDUC)? _________________ c. Whose supporters (Clinton, Dole, or Perot) were the wealthiest (RINCDOL)? _________________ d. What were the mean ages of female supporters for each the three candidates (Clinton, Dole, and Perot)? Clinton___________ Dole___________ Perot___________ ========================================================================== Use the salary.sav data file for the following questions below. 2. Use the MEANS procedure to compute mean beginning salaries (SALBEG) for people in different job categories (JOBCAT). a. Which job category has the largest mean beginning salary? ______________________________ b. Which job category has the smallest mean beginning salary? _____________________________ 3. Use the MEANS procedure to compute median beginning salaries (SALBEG) for people of different genders and races (SEXRACE). a. What is the median beginning salary for white males? ______________________________________ b. What is the median beginning salary for minority females?......

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...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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...that they do not always use. Therefore the idea for this book, as a handout for students yet at the same time a quick guide and reference for the seasoned researcher. Please note that we are using SPSS v15 and AMOS v4. May it be of help to all who strive to better themselves. This book is dedicated to or my darling wife, Doren, and my dearest son, Walter. Associate Professor Dr Ernest Cyril de Run 16 November 2007 BASIC ANALYSIS: A GUIDE FOR STUDENTS AND RESEARCHERS 2 (CIB pdf formfields Demoversion) 1. What is SPSS? SPSS refers to computer software named Statistical Program for Social Sciences and it comes in various versions and adds on. It is software and not a method of analysis. Therefore please do not state that you are using SPSS to analysis whatever in your research paper. You may state that you use this statistical package in order to run a certain analysis such as ANOVA or any other method. SPSS is statistical and data management software that is widely used. This is partly because it is simple to use, user friendly, and does not require coding as by SAS. You may use code in Syntax, but that’s another story. In most cases, you can just copy and paste code from SPSS output into Syntax thus not requiring you to write your own code. The output that is presented by SPSS is also simple and easy to understand, making it widely copied and not properly presented for academia purposes. See output example in Example of Output. It also allows for the use of......

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...Abstract Purpose: The aim of this assignment is to test some of the main questions that were raised regarding to customers satisfaction about the services that they received from X Bank. Methodology: in order to test those questions and to measure customers’ satisfaction, we used SPSS program, which is the most compatible program for social science tests. So, our analyses were focused by using SPSS tools like: Descriptive statistics and Frequencies likewise cross tabulation and chi-square, also independent test and finally correlation. Findings: Throughout our analyses we were able to find some interesting results regarding to customers opinion for banks services and quality, for instance: There is statistical significant difference when it comes to gender loyalty to the bank, after the chi-square is less than 0.05, also it was clear that there is no correlation between age and perceptions of overall services 0.466. In addition, via our analyses there is a strong correlation between perceptions about service quality and co-operating with the bank in the future 0.867 at the 0.01 level. Table of Contents Introduction ……………………………………………………………………………… 3 Data analyses …………………………………………………………………………….. 4 Conclusion ………………………………………………………………………………. 14 Introduction Nowadays, being able to measure customers’ satisfaction is the main point to develop and sustain business. Organizations which are able to fulfil customers’ needs and wants they achieve to spread their......

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...This final paper project is based on the data calculated using SPSS software. SPSS is the software that can give confidence predictive results of what will happen next so we can make smarter decision, solve problems and improve outcomes. For this project, I am going to use SPSS as my analyzing tool to predict and analysis the data by using several model of calculation. The database I choose is the Employee Attitudes data provided under course material. This is my interested field and I am going to use SPSS to make a prediction. Data Source: EmployeeAttitudesStudents.sav from course material. This database contains information collected in a survey of nearly 1,000 employees of Seminole County Government, Florida. Questions regarding working conditions, compensation, quality of management, etc were asked. Variables in this file are all categorical (mostly ordinal, with a couple of nominal) so they would be appropriate from multiple regression analysis. Statement of Problem According to the research material I found online, Salary Basics - Developing a Strong Compensation Philosophy, good payment attract and retain employees for the company. In order to analysis this situation, I choose two variables as my main factor. The first one is the question "I am paid as well as other organizations with similar jobs", and the second question is "Years worked for Seminole Country Government". So here H0 null hypothesis is that Pay rate compared with other company does not affect......

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...UQ Business School MKTG7510 Market and Consumer Research Introduction to SPSS Course Coordinator: Dr Ravi Pappu Introduction to SPSS This is a brief on how to use SPSS. The purpose of this chapter is to introduce you to SPSS. You are encouraged to actively access the interactive help of SPSS and ask your tutor questions if you get lost. You are expected to spend time outside of class (i) familiarising yourself with SPSS and (ii) completing the homework exercises to complete the Assignment 2 (Research Report) for assessment (20% of your MKTG7510 Grade). SPSS is accessible in all computer labs in Building 39A and 35. Please check current times of access to the computer labs and plan your study time accordingly. 1. How to create a new project? (1) Click on the ‘Start’ menu. Click on ‘All Programs’. (2) You will find the folder ‘Data Analysis and Stats Programs’ - click it to open the folder. (3) Click on the ‘IBM SPSS statistics’ folder. Click on the ‘IBM SPSS Statistics’ icon. (4) Once SPSS is open, the screen (see Fig. 1) asks you what you would like to do: either type in the data manually, or find an existing data file (as circled below). Figure 1: Create a New Project MKTG7510 Market and Consumer Research S1-2014 P. 1/20 2. What are the main components of an SPSS ‘project’? When you open a new ‘project’ you will see the Data Editor window where the raw data are visible. However, there are multiple windows that allow you to interact with the......

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...Assignment 1 The aim of this assignment is for you to practise using SPSS to analyse data. You should attempt each of the questions detailed on the following pages using the SPSS Survival Manual as your guide. You will need to have read through the SPSS Survival Manual first to familiarise yourself with its contents and to revise the various statistical procedures covered. You will be asked to interpret some output generated by SPSS. For a number of the questions in this exercise you are required to report the results of analyses performed on the data file. These should be formatted as you would present them in a research report. Full details should be provided concerning the analyses performed, assumptions that were checked, and the results obtained. The more practice you get with this process, the easier it will be for you to write up the results of your analyses. Details on how to structure a report are available on AUTonline. Part A 1. A market researcher is interested in the coffee drinking habits of males and females. He asks a sample of male and female office workers to record the number of cups of coffee they consume during a week. (a) Which parametric statistical technique could the researcher use to determine if males and females differ in terms of the number of cups of coffee consumed in a week? Justify your answer and describe how you would obtain this statistic using SPSS. Independent-samples t-tests (b) What are the key values you would......

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...PSYC 355 SPSS Assignment Part 2 Click Link Below To Buy: http://hwcampus.com/shop/psyc-355-spss-assignment/ The Center for Epidemiologic Studies Depression Scale (CES-D Scale) In the Assignment Instructions folder, there is an SPSS data file that will be the basis for your analysis. The data included are fictional and were created solely for this assignment. The Center for Epidemiologic Studies Depression Scale (CES-D scale) is often utilized to measure depressive symptomology (Radloff, 1977). It is a self-assessment that is completed by the individual. The CES-D contains 20-items rated on a 4-point scale (0 = Rarely or None of the Time to 3 = Most or All of the Time). The phrase “Within the past week did you…” prefaces the questions in order to emphasize recent depressive mood. Scores are summed and can range from 0 to 60. Traditionally, individuals with scores over 16 are identified as “depressed” (Weissman, et al., 1977), though due to high false positive rates, a score of 27 is considered a more useful cut-off (Zich, et al., 1990). The full scale can be accessed at: http://www.chcr.brown.edu/pcoc/cesdscale.pdf. Items 4, 8, 12, and 16 are reversed to avoid “yay-saying” or “nay saying” (Radloff, 1977). Several studies have validated four subscales across a variety of subgroups (i.e., depressive affect, well-being, somatic, and interpersonal) (Gliem & Gliem, 2003). Reliability and Subtest Scoring You will continue the analysis of the CES-D data by learning...

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...SPSS Statistical Package for the Social Sciences (SPSS) is a quantitative analysis software. It is a great tool for quantitative data. It can handle complex data manipulations and analyses. SPSS is among the most widely used programs for statistical analysis in social science. SPSS is the software for the numerical analysis. SPSS was acquired by IBM in 2009 for $1.2 billion. SPSS is a great for predictive analysis to help your organization anticipate change so that you can plan and carry out strategies that improve outcomes. Predictive analysis has come of age as a core enterprise practice necessary to sustain competitive advantage. By applying predictive analytics solutions to data you already have, your organization can uncover unexpected patterns and associations and develop models to guide front-line interactions. This means you can prevent high-value customers from leaving, sell additional services to current customers, develop successful products more efficiently, or identify and minimize fraud and risk. Predictive analytics gives you the knowledge to predict…and the power to act. Enterprise data is a priceless strategic asset because it represents the aggregate experience of an organization, the very history of its interactions with customers. Each customer response (or lack thereof), purchase decision, acquisition, outright defection, act of fraud, credit default, and complaint of a faulty product component provides the enterprise experience from which to......

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...PSYC 355 SPSS Assignment Part 2 Click Link Below To Buy: http://hwcampus.com/shop/psyc-355-spss-assignment/ The Center for Epidemiologic Studies Depression Scale (CES-D Scale) In the Assignment Instructions folder, there is an SPSS data file that will be the basis for your analysis. The data included are fictional and were created solely for this assignment. The Center for Epidemiologic Studies Depression Scale (CES-D scale) is often utilized to measure depressive symptomology (Radloff, 1977). It is a self-assessment that is completed by the individual. The CES-D contains 20-items rated on a 4-point scale (0 = Rarely or None of the Time to 3 = Most or All of the Time). The phrase “Within the past week did you…” prefaces the questions in order to emphasize recent depressive mood. Scores are summed and can range from 0 to 60. Traditionally, individuals with scores over 16 are identified as “depressed” (Weissman, et al., 1977), though due to high false positive rates, a score of 27 is considered a more useful cut-off (Zich, et al., 1990). The full scale can be accessed at: http://www.chcr.brown.edu/pcoc/cesdscale.pdf. Items 4, 8, 12, and 16 are reversed to avoid “yay-saying” or “nay saying” (Radloff, 1977). Several studies have validated four subscales across a variety of subgroups (i.e., depressive affect, well-being, somatic, and interpersonal) (Gliem & Gliem, 2003). Reliability and Subtest Scoring You will continue the analysis of the CES-D data by learning...

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...Marketing Research Fall 2011 Exercise: SPSS 5. Hypothesis test The MBA programme leader is interested to know if there is any significant average age difference between males and females and if there is which is the older group. a. Suggest a null hypothesis and an alternative hypothesis for testing the mean age for male and female students. μ0: The average ages of males and females are the same. μ1: The average ages of males and females are not the same. b. Carry out an appropriate test to compare the mean age for the two sexes, and interpret your results. Since the goal is to compare two means and that the data is of ratio scale, One-Way ANOVA is the appropriate test. Here we have gender as the factor and age as the dependent variable, and we choose the common 0.05 level of significance. Figure 5.1 is the resulting ANOVA table. | | | | | | |3.131a |2 |.209 | | |3.433 |2 |.180 | | |.543 |1 |.461 | | |40 | | | Figure 6.1 Cross table of satisfaction and sex at α=0.05 The p-value, which is 0.209, is very obviously greater than our chosen level of significance, 0.05. The null hypothesis...

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