75. X= the number of adults in America who are surveyed until one says he or she will watch the Super Bowl. X∼G(0.40)2.50.01870.2304 77. X= the number of pages that a...75. X= the number of adults in America who are surveyed until one says he or she will watch the Super Bowl. X∼G(0.40)2.50.01870.2304 77. X= the number of pages that advertise footwear X takes on the values 0, 1, 2, ..., 20 X∼B(20,29192)3.02 No 0.9997X= the number of pages we must survey until we find one that advertises footwear. X∼G(29192)0.38816.6207 pages 79.
Let X= the number of events Javier volunteers for each month. X= the number of business majors in the sample. X= the number of freshmen selected from the study until one replied "yes" t...Let X= the number of events Javier volunteers for each month. X= the number of business majors in the sample. X= the number of freshmen selected from the study until one replied "yes" that same-sex couples should have the right to legal marital status. X= the number of patients calling in claiming to have the flu, who actually have the flu. Let X= the number of defective bulbs in a string.
1 – 0.05 = 0.95 18. X= the number of business majors in the sample. 0.4151 28. X= the number of freshmen selected from the study until one replied "yes" that same-sex couples should have the...1 – 0.05 = 0.95 18. X= the number of business majors in the sample. 0.4151 28. X= the number of freshmen selected from the study until one replied "yes" that same-sex couples should have the right to legal marital status. 53. X= the number of patients calling in claiming to have the flu, who actually have the flu. Using the binomial distribution: The Poisson approximation is very good—the difference between the probabilities is only 0.0026.