5. Using this data for 100 coin tosses:
a. Calculate the deviation for the 100 tosses.

6. The 100 coin tosses are repeated. The results are added to the results of the first 100 coin tosses.
a. How many times do you expect to get heads out of the 200 tosses?
b. How many times do you expect to get tails out of the 200 tosses?

7. Using this data for the 200 coin tosses:
a. What is the deviation for the 200 tosses?
b. How does increasing the total number of coin tosses from 10 to 100 affect the deviation?
c. How does increasing the total number of tosses from 100 to 200 (or more) affect the deviation?
d. What two important probability principles were established in this exercise?

8. With two coins, both coins are tossed 100 times.
a. How many times do you expect to get 2 heads?
b. How many times do you expect to get 2 tails?
c. How many times do you expect to get one head and one tail?

9. The percent of occurrence is the obtained results divided by the total tosses and multiplied by 100. Using this data
for the two coins being tossed 100 times. Calculate the percent occurrence for each combination:
a. What is the percent of occurrence for two heads?
b. What is the percent of occurrence for two tails?
c. What is the percent of occurrence for one head and one tail?

2) for the theoretical, there is 1/2 chance for heads or tails with each toss, so you'd expect that out of 10 tosses, 5 heads, 5 tails. out of 100 tosses- 50 heads, 50 tails.

When tossing 2 coins- 1/2×1/2 = 1/4 (25%) chance that 2 heads, 2 tails, or 1 heads & 1 tails. Deviation value comes from after you done your flipping and recorded your data. So if on 100 flips you actually got 50 and 50 (rarely us that exact ;), the deviation from the expected of 50/50 would be 0.00. If however you flipped 100 heads or 100 tails (impossible), then the deviation value would be 1.00.

|(100-50)| ÷ 50 = 50÷50 = 1.00

So usually you may have data like: 4