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The Store kept track of the number of paying customers it had during the noon hour each day for 100 days. The following are the resulting statistics rounded to the nearest integer: Mean = 95 Median = 97 Mode = 98 First quartile = 85 Third quartile = 107 Midrange = 93 Range = 56 Standard deviation = 12 For how many of the 100 days was the number of paying customers within three standard deviations of the mean ? Explain how you determined your answer.
Define the decision rule. Calculate the value of the test statistic.
One sample has a variance of s2=6 and a second sample has a variance of s2=8. If the two samples are the same size (n1=n2), then what is the pooled variance for the two samples?
Suppose that 40% of cars in your area are manufactured in the United States, 30% in Japan, 10% in Germany, and 20% in other countries. If you randomly select 6 cars, what is the probability that two of them are Japanese?
Of the registered voters contacted, 33% are registered Democrats. Is each of the boldface numbers a parameter or a statistic?
The time needed to drive from town A to town B is normally distributed with a mean of 180 minutes and standard deviation of 20 minutes. What is the probability that a person will drive from town A to town B
If one invested in Stock A, Determine standard deviation of percentage return?
Determine the probability that no more than 10 firms are perfectly competitive?
A financial institution transfers a large data faile every evening from offices around the world to its San Antonio headquarters. Once the file is received, it must be cleaned and partitioned before being stored in the company's data warehouse.
Develop a mathematical programming model and solve. Discuss your results [total profits, total costs, etc].
For each of the following situations, indicate what the general impact on the Type II error probability will be:
Compute the coefficient of determination, r 2 , and interpret its meaning.
Is there significant evidence that this production run doesn't meet specifications? Use a 1% level of significance.
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