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The department of transportation wants to estimate the proportion of vehicles on Interstate 35 between the hours of midnight and 5:00 AM that are 18-wheel tractor trailers. Highway department officials counted vehicles at different locations on the interstate for several nights during this time period. Of the 3,481 vehicles counted, 927 were 18-wheelers. (adapted from [Black 2012])
Construct a 99% confidence interval for the proportion of vehicles on I-35 during this time period that are 18-wheelers.
How might this interval be useful to planners in the department of transportation?
Dr Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different than the historical grade distribution.
Use Hypothesis testing to determine if the data indicate that there are significant differences among the three therapies? Test at the .05 level of significance.
Sketch curves representing the distribution of the original population and the sampling distribution of x for a sample of size n+16.
Pretest-posttest design and internal validity threats - please discuss all threats to internal validity.
the data in table are a sample of the cycle time in days to process and pay employee health insurance claims in a
The average speed of greyhound dogs is about 18.8 meters per second. A particular greyhound breeder claims that her dogs are faster than the average greyhound. In a sample of 45 dogs, they ran, on average, 19.2 meters per second with a standard de..
Given 0.2, 0.4, and 0.4 are the probabilities for the sale of 100, 200, or 400 dozen roses, respectively, then the EOL for buying 200 dozen roses is?
What is the most probable number of patients arriving each Saturday and give the main assumptions we make when we model the above situation using a Poisson distribution.
suppose a manufacturing company makes a certain item. the time to produce each item is normally distributed around a
When the underlying average of a time series is very stable and there is no trend, cyclical, or seasonal influences,
A population of size 1,000,000 claims has mean cycle time of 15 days, and a standard deviation of 4. 100 random samples of each size 64 are selected. What will be the approximate standard deviation of 100 sample means.
The sample mean life is 805 hours with 64 hours of the sample standard deviation. Is there enough evidence to conclude that the manufacturer's claim is true at the 5% significance level?
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