Using the experiment from the Benchmark Experimental Design, address the following.

1. How would you address issues of objectivity and subjectivity when data is analyzed? Provide at least two data analysis approaches or methods. Justify your rationale.
2. How would you determine statistical significance and accurate outcome measurements? Provide at least two data analysis approaches or methods. Justify your rationale.

You are given a simulated stream of data, in the form of a time series. The time series represents traffic data from a simulated highway system and the process of mining the data is based on simulated motion sensors.

1. Describe a stochastic model, one you might build to generate such data. Define the appropriate distribution (e.g. Gaussian) for each data source.
2. Implement the model in your favorite programming language and show the time series it generates. Visualize the data using appropriate plots.

This benchmark assignment assesses the following programmatic competencies:

MS Data Science

1.1: Apply designated quantitative techniques, including statistics, time series analysis, optimization, and simulation to deploy appropriate models for analysis and prediction

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