Stage 1:

1. Set the default parameters and click the generate button; Observe the dataset for multiple instances of samples.

2. Click the estimate button to compute the mean and covariance of the generated samples; Observe the mismatch between the two. Repeat the process for multiple sets of samples generated from the same distribution and observe the variations in the estimate.

Stage 2:

1. Repeat the above procedure for the different values for the number of generated samples.

2. Plot a graph between the average error, and number of samples

3. Note down your inferences regarding the graph.

Stage 3:

1. Generate your own dataset by clicking on the plot area. Note that the distribution need not be similar to a normal density.

2. Estimate the mean and covarance matrices.

3. Note down your inferences regarding the error committed if you assume the distribution to be normal.