Discuss the importance of understanding the type of data and appropriate descriptive statistics in data analysis.  

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Discuss the importance of understanding the type of data and appropriate descriptive statistics in data analysis.  

Find  a dataset of interest to you that includes at least one nominal, one  ordinal, and one interval or ratio variable. This dataset can be sourced  online, from your work, or even be a dataset you create yourself.    Analysis: Conduct a univariate analysis of each variable you identified. This should include:    
Creating a frequency distribution for the nominal and ordinal variables.
Calculating common summary measures (e.g., mean, median, mode, standard deviation, variance) for the interval or ratio variable. 
Interpretation:  Provide an interpretation of your findings. What can you infer from the  distribution and summary measures? How does the type of data (nominal,  ordinal, interval/ratio) influence the kind of analysis you can perform  and the insights you can gain?
    Reflection: Discuss the importance of understanding the type of data and appropriate descriptive statistics in data analysis.  
 Submission Format: Your submission should be a maximum of 500-600 words. Submit your assignment in APA format as a Word document or a PDF file. Include  both your written analysis and any visualizations or tables that  support your findings. If you use any software for your calculations  (like R, Python, Excel), please include your code or formulas as well.  

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