You are using the Kernel Density Estimation method with a rectangular kernel to estimate the underlying distribution of your data (X = [5, 1, 3, 1, 2, 3, 5, 5, 6, 5]). The width of the rectangular kernel is 1.2. If we examine the resulting distribution, what would be the area under the distribution/curve (or the estimated probability mass) that is within the range [0, 4]?

In KDE, we put a "kernel" onto each data point. Imagine a rectangular kernel with (band)width of 0.5. If you have 10 data points, what would be the height of each kernel that we are adding to obtain the KDE? pls provide explanation with answer

1)1

2)0.2

3)0.1

4)2