Chapter 6: Q. 34 (page 386)
Suppose . Between what values does of the data lie? The range of values is centered at the mean of the distribution (i.e., 15).
Short Answer
The of the data lie between .
Chapter 6: Q. 34 (page 386)
Suppose . Between what values does of the data lie? The range of values is centered at the mean of the distribution (i.e., 15).
The of the data lie between .
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A NUMMI assembly line, which has been operating since , has built an average of cars and trucks a week. Generally, of the cars were defective coming off the assembly line. Suppose we draw a random sample of cars. Let represent the number of defective cars in the sample. What can we say about in regard to the empirical rule (one standard deviation, two standard deviations and three standard deviations from the mean are being referred to)? Assume a normal distribution for the defective cars in the sample.
The systolic blood pressure (given in millimeters) of males has an approximately normal distribution with mean and standard deviation . Systolic blood pressure for males follows a normal distribution.
a. Calculate the z-scores for the male systolic blood pressures and millimeters.
b. If a male friend of yours said he thought his systolic blood pressure was standard deviations below the mean, but that he believed his blood pressure was between and millimeters, what would you say to him?
The golf scores for a school team were normally distributed with a mean of and a standard deviation of three.
Find the probability that a golfer scored between and
The percent of fat calories that a person in America consumes each day is normally distributed with a mean of about 36 and a standard deviation of 10 . Suppose that one individual is randomly chosen. Letpercent of fat calories.
a. ----------
b. Find the probability that the percent of fat calories a person consumes is more than 40 . Graph the situation. Shade in the area to be determined.
c. Find the maximum number for the lower quarter of percent of fat calories. Sketch the graph and write the probability statement.
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