What type of distribution do we obtain from the class sampling of a uniform distribution? What...

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What type of distribution do we obtain from the class sampling of a uniform distribution? What is the mean of the distribution? What if each student plotted the sum of each round instead of the mean of each round as our class distribution? How would that change our observed distribution? What if each student plotted the mean of all 60 of their results as our class distribution? How would that change our observed distribution? req. 2 3 MEAN 6 3,5 free Sum 10 20 30 40 50 60 21 If we roll a 6-sided die, we will get a number of dots on the upper-most face of the die as a result: 1, 2, 3, 4, 5, or 6. For a fair die, each number of dots is equally likely to be the result of the roll, so each number of dots has a probability of 1/6 = 0.167 Draw the probability distribution of rolling a 6-sided die, given a large number of rolls (e.g., 10,000 rolls). Why do we call this distribution a uniform distribution? If you would make a round of 6 rolls of the 6-sided die, what do you predict the mean number of dots to be? Now, make 10 rounds of 6 rolls, filling in the table below. For each round, record the result of each roll. Then calculate the sum and mean of each round. Round Round Round Round Round Round Round Round Round Round 1 2 3 4 5 6 7 8 9 10 Roll 1 Roll 2 Roll 3 Roll 4 Roll 5 Roll 6 sum mean Place a post-it note on the axis on the board for each of your values for the mean. Write your name on each of your post-its. What type of distribution do we obtain from the class sampling of a uniform distribution? What is the mean of the distribution? What if each student plotted the sum of each round instead of the mean of each round as our class distribution? How would that change our observed distribution? What if each student plotted the mean of all 60 of their results as our class distribution? How would that change our observed distribution? req. 2 3 MEAN 6 3,5 free Sum 10 20 30 40 50 60 21 If we roll a 6-sided die, we will get a number of dots on the upper-most face of the die as a result: 1, 2, 3, 4, 5, or 6. For a fair die, each number of dots is equally likely to be the result of the roll, so each number of dots has a probability of 1/6 = 0.167 Draw the probability distribution of rolling a 6-sided die, given a large number of rolls (e.g., 10,000 rolls). Why do we call this distribution a uniform distribution? If you would make a round of 6 rolls of the 6-sided die, what do you predict the mean number of dots to be? Now, make 10 rounds of 6 rolls, filling in the table below. For each round, record the result of each roll. Then calculate the sum and mean of each round. Round Round Round Round Round Round Round Round Round Round 1 2 3 4 5 6 7 8 9 10 Roll 1 Roll 2 Roll 3 Roll 4 Roll 5 Roll 6 sum mean Place a post-it note on the axis on the board for each of your values for the mean. Write your name on each of your post-its.