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People arrive a a particular sales counter at the rate of 6 in any 15 minute period and are served on a "first come first served" basis. Arrivals occur randomly throughout the hour and the arrival rate is the same during the entire business day. It takes 5 minutes to service a single customer. How likely is it that exactly 1 customer will arrive in any 5 minutes?
Using the basic informaion from above: If there are no additional customers waiting (or walking up to the counter) when a particular customer begins her transaction, what is the probability that no one will be waiting in line when her transaction is finished?
From past data, it is recognized that company's production process results in normally distributed yield strengths. Test company's claim at a = 0.05.
How large a sample should be taken if the desired margin of error is?
Make an Excel line graph of the data on computer viruses. Discuss the underlying causes that might explain the trend or pattern.
The men took an average of 20.5 hours per year of personal time with a standard deviation of 2.75 hours. What is the pooled estimate of the variance? Round to three decimal places.
An experiment was performed to investigate lifetime of a component exposed to high heat. Three different oven types were used at either 550°F or 600°F.
Construct a 99% confidence interval for the difference between the true average boot times of the two types of hard drives. Assume the difference will represent (HDD-SSD) and that the population standard deviations are statistically the same.
The sample mean of the sampling distribution of a statistic is 6 and the standard error of the statistic is 1.03. What is the probability that xbar > 7.52?
The Travel Weekly International Air Transport Association survey asked business travelers regarding the purpose for their most recent business trip.
Suppose the sample variance for 30 parts turns out to be s 2 = .0005. Use α = .05 to test whether the population variance specification is being violated.
The 90% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after is (0.39, 16.64). Which of the following is the appropriate conclusion? The differences were calculated as (after ad ..
What does it mean to say that a particular value of x has a z-score of -2.1?
If you select a random sample of 100 sessions, what is the probability that the sample mean is between 7.8 and 8.2 minutes?
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