Scott did an experiment in which he flipped a coin 100 times. His coin landed on heads 40 times and tails 60 times. What conclusions could your draw from Scott’s experiment? Select all that apply:

A. Scott did not do the experiment right.
B. The experimental findings are close to the theoretical probability of 50%.
C. There must have been a mistake in Scott’s data since the experimental probability is not close to the theoretical probability.
D. You cannot draw a conclusion about the experiment unless you do it yourself.
E. If Scott performed more trials and flipped the coin 1000 times, the experimental probability would be expected to be closer to the theoretical probability of 50%

News cameras take an overhead picture of a crowd at an outdoor event journalist then count the total number of people in the picture and use the sample of estimate the total number of people in the crowd this process is an example of

After being rearranged and simplified, which of the following equations could be solved using the quadratic formula? check all that apply. a. 9% + 3x2 = 14 + x-1 b. -x+ + 4x + 7 = -32-9 c. 5x + 4 = 3x4 - 2 d. 2x2 + x2 + x = 30

The table shows population statistics for the ages of best actor and best supporting actor winners at an awards ceremony. the distributions of the ages are approximately bell-shaped. compare the z-scores for the actors in the following situation. best actor best supporting actor muequals42.0 muequals49.0 sigmaequals7.3 sigmaequals15 in a particular year, the best actor was 59 years old and the best supporting actor was 45 years old. determine the z-scores for each. best actor: z equals best supporting actor: z equals (round to two decimal places as needed.) interpret the z-scores. the best actor was (more than 2 standard deviations above more than 1 standard deviation above less than 1 standard deviation above less than 2 standard deviations below) the mean, which (is not, is) unusual. the best supporting actor was (less than 1 standard deviation below more than 1 standard deviation above more than 2 standard deviations below more than 1 standard deviation below) the mean, which (is is not) unusual.