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The Stewart Aviation Products Company has been successfully manufacturing aircraft al- timeters with errors normally distributed with a mean of 0 ft (achieved by calibration) and a standard deviation of 43.7 ft. After the installation of new production equipment, 30 altime- ters were randomly selected from the new line. This sample group had errors with a standard deviation of s = 54.7 ft. Use a 0.10 significance level to test the claim that the new altimeters have a standard deviation different from the old value of 43.7 ft
Examine the two standard deviations. What do these indicate about the range of benefits enjoyed by the two groups?
only 3 reported that their health was excellent. Find the probability that when 13 adults are randomly selected, 3 or fewer are in excellent health.
A large population of metal rods have an average diameter of .943 inches with a standard deviation of .001 inches. The engineering specification for the rods requires that they be between .941 and .944 inches.
Suppose that the scores of architects on a particular creativity test are normally distributed. What percentage of architects have Z scores (a) above .10, (b) below 10, (c) above .20, (d) below .20, (e) above 1.10, (f) below 1.10, (g) above -.10, (h)..
Camera batteries has a standard deviation of 2.1 months. Assume the variance is normally distributed. Do you fell that the lifetimes of the batteries are relatively consistent?
Then compute the probability of B in each situation (these are the P(B|An)). Finally weigh each of these probabilities with the probabilities that you are in an situation.
The probabilities of low, medium and high compliance are 0.3, 0.4, and 0.3, respectively
annual per capita consumption of milk is 21.6 gallons statistical abstract of the united states 2006. being from the
What is the answer to the following unsorted data shows the number of traffic tickets given each day by Deputy Fife over the last eleven days.
a manufacturing company wants to investigate the product coming out of two machines has a similar diameter or not. it
1. estimation of mean monthly rentalsa suppose we consider the following data on monthly rentals 980 1230 1320 1440
In what areas of your business is it important to draw inference? Describe a time when drawing an inference may have hurt your business.
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