Use the results of Project #2. Recall that you performed a binomial probability experiment 50 times.

In Project #3, you will calculate a 99% Confidence Interval for the true probability of success, a 95% Confidence Interval, and a 90% Confidence Interval.

Hints:- Suppose, you guessed that there would be 28 heads i.e. p=56%, So q= 44%. After the actual tossing of the coin, you got 24 heads which gives a result of p=48%. It means the actual probability deviates from the guess 56%.

Now you compute the confidence intervals using the value of you of p you computed in Project #2.

State your guess from Project #2. Which of the confidence intervals contain your original guess? None of them? All of them? Was your original guess accurate or inaccurate? Write a paragraph to explain.

Here is project 2!!

From the above table, 120 heads appear 30 times. This the empirical probability 30/50 = 0.6 but the original probability of success is 0.5. The empirical probability of success is far off from the original.

D. Explanation:

The experiment was counted out by flipping a coin 50 times and the results of each toss are noted. From the above parts, it is clear that the original guess is not the same as the empirical probability. The empirical probability until the original guess when the number of lips is increased.

***** THERE IS NO REFERENCE NEEDED!!!*