I'm running 2 simulations on how many times heads will appear when flipping a coin. The 1st simulation has 20 trials of 25 flips/trial (min= 0.32, max = 0.72, mean =.494, Standard deviation = 0.112596) and the 2nd simulation has 20 trials of 100 flips/trial (min=0.44, max=0.51, mean=0.503, standard deviation=0.047362). 1. What should we expect to happen as far as % of heads when coins are tossed...no matter how many times?
2. Describe the sampling model for 100 tosses.
3. Compare the “actual” distribution of your twenty sample proportions for 100 tosses to what the sampling model predicts.
4. Describe how your results might differ if you had run 1000 trials of the simulation instead of only 20.