Aim of the applet

It shows how the binomial distribution (discreet) is approximated using a normal distribution.

Input data

• Parameters n, k and the probability p: In the corresponding sliders, the values are chosen by the mouse.
• Delimitors of calculation of probability: In the graph the blue points can be moved using the mouse.

Output data

• The binomial B (n, p): Distribution of probabilities in every point (blue color) and the image in the point k (green color).
• Normal associate distribution: Continuous line of red color.

The first steps

• To approximate the binomial B (21,0.15) using a normal. Initially estimated P (X = 9), and then modify the parameters of the sliders to improve the approximation. What happens if we let k be greater than n?