Mathematics, 15.07.2019 17:20 iloveporche6364
Compute p(x) using the binomial probability formula. then determine whether the normal distribution can be used to estimate this probability. if so, approximate p(x) using the normal distribution and compare the result with the exact probability. nequals=4040, pequals=0.250.25, and xequals=20
Answers: 1
Mathematics, 21.06.2019 13:30
Which best describes the transformation that occurs in the graph? a) dilation b) reflection c) rotation d) translation
Answers: 2
Mathematics, 21.06.2019 15:20
Use the x-intercept method to find all real solutions of the equation. -9x^3-7x^2-96x+36=3x^3+x^2-3x+8
Answers: 1
Mathematics, 21.06.2019 19:40
It appears that people who are mildly obese are less active than leaner people. one study looked at the average number of minutes per day that people spend standing or walking. among mildly obese people, the mean number of minutes of daily activity (standing or walking) is approximately normally distributed with mean 376 minutes and standard deviation 64 minutes. the mean number of minutes of daily activity for lean people is approximately normally distributed with mean 528 minutes and standard deviation 107 minutes. a researcher records the minutes of activity for an srs of 7 mildly obese people and an srs of 7 lean people. use z-scores rounded to two decimal places to answer the following: what is the probability (image for it appears that people who are mildly obese are less active than leaner people. one study looked at the averag0.0001) that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 420 minutes? what is the probability (image for it appears that people who are mildly obese are less active than leaner people. one study looked at the averag0.0001) that the mean number of minutes of daily activity of the 6 lean people exceeds 420 minutes?
Answers: 1
Mathematics, 21.06.2019 21:30
Find the domain and range of the following function f(x) = 51x - 21+ 4
Answers: 2
Compute p(x) using the binomial probability formula. then determine whether the normal distribution...
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