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An automobile manufacturer is concerned about a possible recall of its best-selling four-door sedan. If there were a recall, there is a probability of 0.25 of a defect in the brake system, 0.18 of a defect in the transmission, 0.17 of a defect in the fuel system, and 0.40 of a defect in some other area.
(a) What is the probability that the defect is the brakes or the fueling system if the probability of defects in both systems simultaneously is 0.15?
(b) What is the probability that there are no defects in either the brakes or the fueling system?
What is the probability that on your next trip to your friend's house, you will have to stop for exactly one red light and what is the probability that you will have to stop for at least one red light
random sample of 120 households, what is the probability that greater than 20 households but less than 35 households receive retirement income?
Use Friedman test to find out whether there is evidence for significant difference between two population variance. Use .05 level of significance.
The Bureau of the Census reports that the average commuting time for citizens of both Baltimore, Maryland, and Miami, Florida is approximately 29 minutes (uMiami=29 and uBaltimore=29 minutes).
A statistical analysis of 1000 long distance telephone calls made from the headquarters of the Bricks and Clicks Computer Corporation indicates that the length of these calls is normally distributed with u=240 seconds and sigma = 40 seconds.
Assume the population standard deviations are not the same. At the .05 significance level, is there a difference in the mean waiting time?
Explain what an outlier is. Then, if there are any outliers in the Project 1 Data Set, what are they? If there are no outliers, say no outliers.
Determine the mean and the standard deviation of the sample.
Estimate the probability the store will gross over $850 a) At least 3 out of 5 business days.
The weight of a small Starbucks coffee is a random variable with a mean of 360 g and a standard deviation of 9 g. Use Excel to find the weight corresponding to each percentile of weight.
At a = 0.05, can you reject claim that at least 52% of adults are more probable to purchase a product when there are free samples?
Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
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