solve the relevant problems given in your research data this project should contain the detailed descriptive and summary statistics
1) Identify the variable types of and analyze the â€œResponse_to_self_diriving_carâ€ data and justify
the reason why you use that specific technique for that specific variable. ( for example, I use a
bar chart for this variable as it is a categorical, etc.). three is enough
2) Provide descriptive (summary) statistics for the numerical variables (i.e., mean, Q1, median,
Q3, IQR, variance, histogram, boxplot, etc.) in â€œHOUSING_PRICE_DATAâ€ data. And interpret your
findings and make sure that you report correct/proper metrics in order to provide summary
statistics (e.g., I calculate the average of â€œthis variableâ€ using mean as it does not have an outlier,
3) Build 95% confidence interval (CI) for the mean house age in â€œHOUSING_PRICE_DATAâ€ data
and interpret CI.
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