Video Academy | Socio-Economic Area
The statistical analysis techniques presented in these videos are applicable to all subject areas, specifically focusing onexamplesof typesocial,economicAnddemographic.
Simple and Stratified Sampling
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You need to know how to select the right sampling method (simple or stratified) based on the structure of your data. In this video, we will analyze the differences between these two essential techniques and apply them practically using Statistics for Data Analysis.
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We use a concrete case study involving company employees to demonstrate a key principle: stratifying by relevant characteristics (like department or job qualification) produces samples that are much more representative than simple random sampling.
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Finally, we introduce the new Stratified Sampling Add-On (Version 30). This tool automates the process, making your complex analyses both more precise and more efficient.
Digital Transformation and Data Analysis: How APL Optimized Processes with Statistics for Data Analysis
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In this video, we will explore the critical role of digital transformation and data analysis in achieving truly effective operational results.
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We are delighted to share insights from a significant collaboration with Agenzia Piemonte Lavoro (APL). We had the privilege of interviewing two special guests from APL.
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They will guide us through this journey, sharing practical examples using Statistics for Data Analysis. Specifically, they will delve into two key areas: the advanced territorial analysis indicator and the monitoring of events.
Linear Regression for Accurate Interpretations: Analysis of Reading Speed
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In this video, we provide you with a brief theoretical introduction, showing you how to apply Linear Regression to an intriguing case study: the analysis of reading speed.
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What will you discover:
• Factors influencing the reading speed of a passage
• How to use linear regression to analyze real data
• A practical example with Statistics for Data Analysis powered by SPSS
How to prepare data for a questionnaire
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Data preparation is often one of the longest phases of an analysis (70-80% of the entire journey)
In this video we show some of themain techniquesstatistics to transform data from a questionnaire so that they can be used for the actual analysis phase.
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We will see thesimplicityand thespeedof using Statistics for Data Analysis powered by SPSS, an intuitive solution suitable for everyone.
Subjects:
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Introductory context
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The main techniques ofdata preparation:
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Aggregations
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Automatic recodings
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Dataset restructuring
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Calculation between variables
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Practical examplewith Statistics for Data Analysis
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See the features of the Data Preparation module
Principal component analysis
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You need toto extractcertain characteristics or ofreduceyour sample size?
By watching this video, you will have the opportunity to see how it is possible with the technique ofPrincipal Components (PCA), which helpsidentifypatterns in the data based on thecorrelationbetween features.
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This way, with a smaller size, it will be easier for youindividuatetrends,modelse outliersin the data.
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Subjects:
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Contextintroductory
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Theoryof the PCA
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Examplepractical on amarket analysis
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Look at the characteristics of the modulesBasicAndCategories
Surveys on local economies and the labor market with Statistics for Data Analysis
Today organs edentitiesas the Chambers of Commerce are among themain disseminators of economic-statistical dataof local economies.
The webinar shows:investigationsonstatisticsAndtrendof the economic situation and of the birth-death rate of the enterprises of a territory, surveys on the employment of recent graduates according to the main socio-economic variables of the territory, assessment of the demand for work and of the professional and training needs expressed by the enterprises.