For a hypothesis test of the claim that the mean amount of sleep for adults is less than 9 ​hours, technology output shows that the hypothesis test has power of 0.4816 of supporting the claim that μ<9 hours of sleep when the actual population mean is 7.5 hours of sleep. Interpret this value of the​ power, then identify the value of β and interpret that value. Interpret this value of the power. A. The chance of recognizing that μ<9 hours is not very high when in reality μ=7.5 hours. B. The chance of failing to recognize that μ=7.5 hours is not very high when in reality μ=7.5 hours. C. The chance of recognizing that μ<9 hours is very high when in reality μ=7.5 hours. D. The chance of failing to recognize that μ<9 hours is not very high when in reality μ=7.5 hours.

Zed is making a centerpiece for his dining room table by putting sand in a cube-shaped vase. the vase is 0.25 meters in length, width, and height. he bought 25 kg of sand. assume the density of dry sand is 1,602 kgm3. what is the volume of the sand that zed purchased? the volume of the sand is approximately m3. enter your answer as the number that correctly fills in the blank in the previous sentence. if necessary, round your answer to six decimal places, like so: 42.536475

The motion of a weight that hangs from a spring is represented by the equation h=8sin(2pi/3t). it models the weight’s height above or below the rest position as a function of time. approximately when will the object be 3 inches above the rest position?

The survey of study habits and attitudes (ssha) is a psychological test that measures the motivation, attitude toward school, and study habits of students, scores range from 0 to 200. the mean score for u.s. college students is about 115, and the standard deviation is about 30. a teacher who suspects that older students have better attitudes toward school gives the ssha to 55 students who are at least 30 years of age. the mean score is 113.2. assume the population standard deviation is 30 for older students what is the margin of error for a 95% confidence interval for the population mean score for a. older students? b. compute the 95% confidence interval for the population mean score for older students. c. compute the 99% confidence interval for the population mean score for older students. d. compute the 88% confidence interval for the population mean score for older students.