uses of spss and excel to analyze data
TRANSCRIPT
Bangladesh University of Professionals
Presentation on
Uses of SPSS and Excel to analyze data
Presented ByKudrat-E-KhodaID No- M1415019Course Title- Business Statistics (BUS 504)Program- MBA, Batch- 15th
Submitted ToCharls Darwin
LecturerFaculty of Business Studies
Bangladesh University of Professionals (BUP)
INTRODUCTION
FEATURE & BENEFITS
WHY SPSS?
RESEARCH & DEVELOPMENT
SPSS INTERFACE
USING SPSS
FREQUENCY ANALYSIS
CONCLUSION
CONTENTS
INTRODUCTION• SPSS is a software package used for conducting statistical
analysis, manipulating data, and generating table and graphs that summarize data.
• SPSS performs statistical analysis range from basic descriptive statistics, such as average and prevalence, to advanced inferential statistical, such as regression model, analysis of variance, factor analysis etc.
• SPSS also contains several tools for manipulating data, including functions for recording data, macros programming on visual basic editor, merging data, and aggregating complex data sets.
FEATURES AND BENEFITS • For Small And Medium Enterprises (SME)
– Resources & best practices.
– Techniques for cleaning data.
– Access Data in Relational Databases.
• For Large Scale Enterprises (LSE)
– Real time processing and online mapping.
– Online Database connectivity different networks.
– Data import & export data from different medium like SAS, Statistica.
– Compliances and Validations.
What are the options?• Many commercial products available
– SAS, Statistica, Minitab, and others
• Excel
– Widely available (part of MS Office Suite)
– Not a statistical software – spreadsheet
– Finance, math, and statistics applications
• SPSS
– Robust software for sophisticated statistical applications
– Upgrade with add-ins
WHY SPSS?• Strengths
– Very robust statistical software– Many complex statistical tests available– Good “stats coach” help with interpreting results– Easily and quickly displays data tables– Can be expanded
• Using the syntax feature • Purchasing add-ins
• Limitations – Can be expensive – Not intuitive to use
• Typically requires additional training to maximize features (at a cost) – Graphing feature not as simple as Excel
RESEARCH & DEVELOPMENTData presentation is one of the most crucial steps in research. The uses of SPSS helps the researcher to make the research work more scientific and reliable as a number of different statistical tools like ANOVA, paired t- test, chi squire test, exploratory factor analysis (EFA) and so on.
•Quality and Manufacturing.
•Compliance and Validation..
•Empower Researcher with Tools.
•Regulatory Safety Testing.
•Clinical Trails.
•Data Mining in Drug Discovery.
05/02/2023 Data Analysis with SPSS
SPSS INTERFACE Cell Editor Variable Names Max, Min, Close
Title Bar
Menu Bar
Button Bar
Row # :col
View Tabs
ScrollBar
ActiveCell
‘Data View’ is where the numbers are inputted e.g. Survey responses
SPSS INTERFACE (cont…)
‘Variable View’ is where you see behind the data i.e. where you tell SPSS what the numbers represent
SPSS INTERFACE (cont…)
This is what Data View looks like with some content added
SPSS INTERFACE (cont…)
Each row is a respondent’s answers to a survey
SPSS INTERFACE (cont…)
Each column contains all the answers to a particular question by all respondents
SPSS INTERFACE (cont…)
Each variable can be named. No spaces or special characters are allowed (just keep it to simple one word names)
SPSS INTERFACE (cont…)
SPSS can deal with words as well as numbers, but the ‘Type’ of data should mostly be numeric.
Data made up of words is called ‘String’ data
SPSS INTERFACE (cont…)
This is where you can give your variable a meaningful label.
This will be the label that appears in tables and graphs
The ‘value’ tab is where you turn your numbers into meaningful values. E.g. 1 = Female, 2 = Male
Using of SPSSFREQUENCY ANALYSISFrequency analysis is a descriptive statistical method that shows
the number of occurrences of each response chosen by the respondents. We can also calculate the mean, median, and mode to help users analyze the results and draw conclusions.
CROSSTABSCrosstabs are used to examine the relationship between two
variables. Data ManipulationData files are not always ideally organized in a form to meet
specific needs. For example, users may wish to select a specific subject or split the data file into separate groups for analysis.
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SPLITTING A FILEIf we wish to compare the response or performance differences by groups within one
variable, it is best to use the split files option.
FIND AND REPLACEIn this software we can use the Find and Replace function is more efficient to use.
Users can use Find and Replace in Data View. However, only the Find function is available for users in Variable View.
ReportingOnce the statistical analysis is complete, the final step is to create a report. In the
report, we may include PASW Statistics output (e.g., graphs and tables) for supporting your analysis. Using the Copy and Paste functions, the tables/graphs generated in PASW Statistics can be copied from the Output Viewer window and pasted into a Microsoft Word document without having to create new tables or graphs.
Using of SPSS (Cont…)
FREQUENCY ANALYSIS
To perform frequency analysis:1. Click the Open button on the Data Editor
toolbar. The Open Data dialog box opens.2. Locate and open the “Part 1.sav” file.3. Click the Analyze menu, point to Descriptive
Statistics, and select Frequencies. The Frequencies dialog box opens.
4. Select the variable(s) desired to be analyzed. In this case, select the variable “Computer Owned” from the list box on the left.
5. Click the transfer arrow button . The selected variable is moved to the Variable(s): list box.
6. Select the Display frequency tables check box if necessary.
Frequency analysis is a descriptive statistical method that shows the number of occurrences of each response chosen by the respondents. We can also calculate the mean, median, and mode to help users analyze the results and draw conclusions.
7. Click the Statistics… button. The Frequencies: Statistics dialog box opens.
8. Select the Mean, Median, and Mode check boxes in the Central Tendency section; select the Std. deviation check box in the Dispersion section.
FREQUENCY ANALYSIS (CONT…)
9. Click the Continue button. This returns you to the Frequencies dialog box.
10. Click the OK button. An Output Viewer window opens and displays the statistics and frequency table
FREQUENCY ANALYSIS (CONT…)
Conclusion
So we can say that the SPSS software plays a significant role in the process of interpreting and analyzing of the data retrieved from various methods.
It also help to represent data in remarkable way.
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