Select a dataset of your choice that contains numerical values. It can be obtained from a reliable source or generated by yourself. Ensure the dataset is suitable for measures of central tendency analysis.

1. Data Exploration

• Start by introducing the dataset and providing a brief overview of its contents.
• Describe the variables present in the dataset and their meanings.
• Perform basic exploratory data analysis (EDA) to understand the dataset better. This may include calculating summary statistics, visualizing data distributions, detecting outliers, etc.

1. Measures of Central Tendency

• Define and explain the concept of measures of central tendency, including mean, median, and mode.
• Apply these measures to the dataset and calculate their values.
• Discuss the strengths and limitations of each measure in the context of your dataset.
• Interpret and compare the results obtained from each measure. What insights can be drawn from these measures?

1. Data Visualization

• Create appropriate visualizations (e.g., histograms, pie charts, etc.) to represent the data distribution and the location of measures of central tendency.
• Analyze the visualizations and discuss how they relate to the calculated measures of central tendency.

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Dataset Introduction For this analysis Ive selected a dataset containing information about the heights in inches of students in a classroom The dataset was generated for the purpose of this exercise a... View the full answer