The following contingency table provides a joint frequency distribution for the popular votes cast 6)in the presidential election by region and political party. Data are in thousands, rounded to thenearest thousand.A person who voted in the presidential election is selected at random. Compute the probability thatthe person selected was in the West and voted Republican.A) 0.781 B) 0.196 C) 0.588 D) 0.115
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An infinite population has a mean of 40 and a standard deviation of 15. A sample of size 100 is taken at random from this population. The standard…
An infinite population has a mean of 40 and a standard deviation of 15. A sample of size 100 is taken at random from this population. The standard error of the sample mean equals:
A player salaries have increased, the cost of attending baseball games has increased dramatically.
A player salaries have increased, the cost of attending baseball games has increased dramatically. The file (BBCOST2011) contains the cost of four tickets, two beers, four soft drinks, four hot dogs, two game programs, two baseball caps and the parking fee for one car for each of the 30 Major League Baseball teams in 2011:174, 339, 259, 171, 207, 160, 130, 213, 338, 178, 184, 140, 159, 212, 121, 169, 306, 162, 161, 160, 221, 226, 160, 242, 241, 128, 223, 126, 208, 196Describe whether the data appear to be approximately normally distrusted by ..a. Comparing data characteristics to theoretical […]
Exhibit 8-3 A random sample of 81 automobiles traveling on a section of an interstate showed an average speed of 60 mph.
Exhibit 8-3A random sample of 81 automobiles traveling on a section of an interstate showed an average speed of 60 mph. The distribution of speeds of all cars on this section of highway is normally distributed, with a standard deviation of 13.5 mph.Refer to Exhibit 8-3. If we are interested in determining an interval estimate for m at 86.9% confidence, the z value to use is
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process.
Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 13 ounces. The process standard deviation is 0.2, and the process control is set at plus or minus 0.5 standard deviation. Units with weights less than 12.9 or greater than 13.1 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)?In a production run of 1000 parts, how many defects would be found (to 0 decimals)? Through process design improvements, the process […]
