5 Questions
What is the primary goal of Inferential Statistical Analysis?
To make inferences, or generalizations, about data
Which of the following is NOT a type of Statistical Analysis?
Predictive
What is the purpose of Data Mining?
To extract knowledge from data
Which of the following software is NOT commonly used for analyzing and mining data?
Java
What is the term for the amount of variation in a dataset?
Dispersion
Study Notes
Statistics and Statistical Analysis
- Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of numerical or quantitative data.
- Statistical Analysis is the process of developing an understanding of what the data represents through the use of statistical methods.
Types of Statistical Analysis
- Descriptive Analysis: provides a summary of what the data represents, involving measures such as:
- Central Tendency
- Dispersion
- Skewness
- Inferential Analysis: involves making inferences, or generalizations, about data, involving measures such as:
- Hypothesis Testing
- Confidence Intervals
- Regression Analysis
Data Mining
- Data Mining is the process of extracting knowledge from data, involving:
- Pattern recognition technologies
- Statistical analysis
- Mathematical techniques
- Goals of Data Mining include:
- Identifying correlations
- Identifying patterns
- Identifying variations
- Identifying trends
Data Mining Techniques
- Classifying attributes of data
- Clustering data into groups
- Establishing relationships between:
- Events
- Variables
- Input and output
Data Analysis Tools and Software
- Spreadsheets
- R-Language
- Python
- IBM SPSS Statistics
- IBM Watson Studio
- SAS
- Each tool has its own:
- Characteristics
- Strengths
- Limitations
- Applications
This quiz covers the basics of statistical analysis, including descriptive and inferential statistics, and their applications in data analysis.
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