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A manufacturer claims that the average life of its light bulb is 1,200 hours. Assume that the life of all such bulbs has a normal distribution with mean 1,200 hours, and standard deviation 70 hours. Determine the probability the mean life time of a random sample of 9 bulbs will be:
a) At least 1,180 hours.b) Between 1,185 and 1,190 hours
Determine the pairs which are significant according to LSD and what pairs are important according to Bonferroni?
Standard deviation of $1.2 million in 2009. Suppose a sample of 100 major league players was taken. What was the standard error for the sample mean salary?
Suppose 72% of the drivers regularly use seat belts. You take a random sample of 10 of these drivers. What is the probability that the number regularly using seat belts is at least 7?
Create a 95% confidence interval for population mean. Is it sensible that population mean is 28 weeks? give explanation for your answer.
Using α = 0.05, does this sample provide enough evidence to conclude that the average utility bill in Delaware was lower in the winter of 2011-2012 than it was in the winter of 2010-2011?
Use Hypothesis testing to determine if Dr. Boom is correct, that his sample of 25 rockets weight less than the average rocket.
Assume that a normal model with a mean 263 days and standard deviation can describe the duration of human pregnancies 12 days. At least how many days should the longest 30% of all pregnancies last?
There is no significant difference in the mean household incomes between the two neighborhoods +0.05
If a random sample of 10 people found that 9 were pro-life (i.e., 90%), while another random sample of 1000 people from the same population found that 550 were pro-life (i.e., 55%), which would you find more significant? Why?
The probability distribution for the possible results of an experiment is given, Determine the mean of the distribution.
The p-value for a test statistic is .085, what is the minimum level of significance required to reject the null hypothesis?
Is there good evidence that treatment of staph-positive patients before surgery reduces the rate of post-surgical staph infection?
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