Elian heard that spinning a coin on a flat surface-rather than flipping it-made the probability of the coin landing showing "heads" something other than 50%. To test this theory, he spun a nickel a series of 80 times and
observed that p = 60% of the spins landed showing "heads."
To see how likely a sample like this was to happen by random chance alone, Elian performed a simulation. He
generated a sample of n = 80 spins where each spin had a 50% chance of showing "heads," and he recorded
what proportion of spins in the sample showed "heads." He repeated this process for a total of 125 samples.
Here are the sample proportions from his 125 samples:

The probability that a u.s. resident has traveled to canada is 0.18 and to mexico is 0.09. a. if traveling to canada and traveling to mexico are independent events, what is the probability that a randomly-selected person has traveled to both? (page 109 in the book may ) b. it turns out that only 4% of u.s. residents have traveled to both countries. comparing this with your answer to part a, are the events independent? explain why or why not. (page 119 may ) c. using the %’s given, make a venn diagram to display this information. (don’t use your answer to part a.) d. using the conditional probability formula (page 114 in the book) and the %’s given, find the probability that a randomly-selected person has traveled to canada, if we know they have traveled to mexico.