need help before 12:30 pm please

Instructions: 1. Flip a coin a total of 1000 times. Group these into sets of 10 as you go, numbering them 1 through 100. There will be 100 sets of 10. [I only need to know how many heads for each 10, so 100 cards that say (Group 1, 4 Heads and so on would be sufficient) 2. Each set of 10 has a relative frequency of Heads, also known as empirical probability of Heads. Make a stemin-leaf plot of what % were heads for each group of 10. (The shape of your plot should look familiar after we finish the Statistics chapter!) (You may choose to use a histogram using a spreadsheet if you want] 3. Make big groups of 100, by combing groups 1-10, 11-20, and so on. Compute the \"/o of heads for these larger groups. So if for groups 1-10 you have 4+5+7+8+2+3+5+3+3+6=46, that's 46 out of 100 for the big grow, or 46%. For these 10 big gmups of 100, plot the percent of Heads in a stem-and-leaf plotr counting again by 10%. (You may choose to use a histogram using a spreadsheet if you want] 4. Looking at the stem-and-leaf plots from steps 3 and 4, which was more spread out? How does it relate to the Law of Large Numbers? 5. Compute the total % of heads among all 1000 flips. Compare this percentage with the subset results you got with groups of size 10 or 100. How does this relate to the Law of Large Numbers