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Assume that women's weights are normally distributed with a mean of 143 pounds and standard deviation of 29 pounds (based on data from the National

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Assume that women's weights are normally distributed with a mean of 143 pounds and standard deviation of 29 pounds (based on data from the National Health Survey]. Find the weight separating the bottom 35% from the top 65%. When entering your answer, round to two decimal places. Assume that readings on thermometers are normally distributed with a mean of 0"C and a standard deviation of 1.00"C. A thermometer is randomly selected and tested. Find the temperature reading corresponding to the 82" percentile. This is the temperature reading separating the bottom 82% from the top 18%. When entering your answer, round to two decimal places.Assume that readings on thermometers are normally distributed with a mean of 0C and a standard deviation of 1.0006. Find the probability that a randomly selected thermometer reads between 0.12 and 1.21. When entering your answer, round to four decimal places. Find the indicated area under the standard normal curve to the left of z = -1.05. When entering your answer, round to four decimal places.Assume that women's weights are normally distributed with a mean of 143 pounds and standard deviation of 29 pounds (based on data from the National Health Survey]; If 75 women are randomly selected. find the probability that they have a mean weight greater than 140 pounds When entering your answer, round to four decimal places. Assume that women's weights are normally distributed with a mean of 143 pounds and standard deviation of 29 pounds (based on data from the National Health Survey]; Find the weight separating the bottom 15% from the top 35%. When entering your answer, round to two decimal places. Assume that readings on thermometers are normally distributed with a mean of 0C and a standard deviation of 110006. Find the probability that a randomly selected thermometer reads between -2.29 and -1.21. When entering your answer, round to four decimal places. The capacity of an elevator is 12 people or 2064 pounds. The capacity will be exceeded if 12 people have weights with a mean greater than 2064! 12 = 1?2 pounds. Suppose the people have weights that are normally distributed with a mean of 176 pounds and a standard deviation of 29 pounds_ Find the probability that if a person is randomly selected. his weight will be greater than 1?2 pounds. Mien entering your answer, round to four decimal places. Assume that women's weights are normally distributed with a mean of 143 pounds and standard deviation of 29 pounds (based on data from the National Health Survey). If T5 women are randomly selected. find the probability that they have a mean weight between 140 pounds and 157 pounds. When entering your answer, round to four decimal places

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