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The time that it takes to react to the brake lights on a decelerating vehicle is critical in avoiding rear-end collisions. Research suggests that reaction time for an in-traffic response to a brake signal from standard brake lights can be modelled with a normal distribution having a mean of 1.24 seconds and a standard deviation of 0.45 seconds.
a) Identify the variable of interest and the unit of measurement
b) What proportion of reaction times are less than 2.00 seconds?
c) What percentage of reaction times are between 1.00 seconds and 1.75 seconds?
d) Below what reaction time are the fastest 20% of these in-traffic responses?
Compare the differences of Simple random sampling & Cluster sampling using specific examples, and show the pros and cons of each method.
What do you find out when you perform the nonparametric statistics?
About 5.5 percentage points in either direction from what would have been obtained by seeking out all Ohio State University female students." Do your results agree with this statement?
What is the average time a car waits to begin the wash job? What is the average number of cars in the car wash system? What is the average time required to wash a car?
A computer password consists of four characters. The characters can be one of the 26 letters of the alphabet. Each character may be used more than once. How many different passwords are possible?
The population is 500 pounds. At a 80% level, how many elephants need to be weighed so the average weight will be accurate to within 350 pounds?
Suppose you want to know if a new design of a product is actually better than the current product. For example, your design team is working on increasing the speed of the KX Speed Drill
The lead time is 2 weeks.If you were asked to create an (R,s,S) policy for this, what parameters would you pick? Give your reasons.
Test, at the 5% level of significance, whether the population standard deviation of hours spent studying is less than 10. Use the Critical value approach.
The sample mean price is computed from the prices at these gas stations. What is the probability that the sample mean price falls within a nickel of the State's overall mean price? i.e between 3.09 and 3.19.
You're responsible for planning parking needed for a new 256-unit apartment complex, and you're told to base the needs on the statistic 'average number of vehicles per household is 1.9'.
Assuming the distribution of the salaries is normal, what is the probability that the average for this sample is between $36,000 and $42,000?
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