The mean height of us males is approximately 175cm, or 69.1" or 5'9". so, in a public space the probability that the next man you see is taller than 5'9" is 0.50 (likewise the probability that the next man you see is less than 5'9" is also 0.50.) now suppose you are in a hotel and find yourself the only person there not a part of the national basketball association players association (that is a lot of association.) use bayesian updating to determine the probability that the next man you see is taller than 5'9"? (5 pts.)

Anull hypothesis states that the difference between 8 hours of sleep and 3 hours of sleep has no effect on the number of pictures a student will remember during a picture memory interface test (pmit). examining the mit database, an extremely small t-value of 0.1611 is found. this t-value is much smaller than the smallest t-value on the chart for p-value reference. from this information we can: select one: a. accept the null hypothesis because the p-value obtained shows that the difference between the two groups being tested is not statistically significant b. accept the null hypothesis because the p-value obtained was statistically significant c. reject the null hypothesis because of the p-value obtained d. reject the null hypothesis because the data obtained is statistically significant