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The time between surface finish problems in galvanizing process is exponentially distributed with a mean of 40 hours. A single plant operates three galvanizing lines that are assumed to operate independently.
a. What is the probability that none of the lines experiences a surface finish problem in 40 hours of operation.
b. What is the probability that all three lines experience a surface finish problem between 20 and 40 hours of operation.
Set up null hypothesis for associated F test.
Compute the minimum sample size required assuming that no prior information is avaiable?
With a standard deviation of 9.87 minutes. At the 0.05 level of significance, test the claim that at this airport the mean wait for takeoff is less than the mean wait for baggage.
Safe T cigarettes claim that their product has "low tar." Government standards are that this claim is invalid if there are more than 13.5mg tar per cigarette.
At the .01 significance level can we conclude the mean age is more than 8.4 years for the cars of university students? Compute the value of the test statistic.
The mean of land and buildings per acre from a sample of farms was $637, with a standard deviation of 26. Use Empirical Rule to find approximate percentage of acreage whose values were between $ 661 and $663.
The mean interview time for a standard questionnaire of 31.3 minutes was considered to be excessive so the schedule was revised, yielding a mean interview time for a sample of 40 subjects of 21.3 minutes
Assume that ages at onset of this disease are normally distributed for each gender, do not assume the population variances are equal. What are the appropriate null and alternative hypotheses?
A box contains ten fuses of which 3 are defective. Two fuses are selected at random from the box without replacement. What is the probability that exactly one of the fuses selected is defective?
Construct a 90 percent confidence interval for the proportion of all depositors who ask for cash back. (Round your answers to 4 decimal places.)
A square yard of carpet is examined for surface defects. Currently, the process produces an average of 2.4 defects per square yard. What is the probability of finding 2 or more surface defects in the sample.
Given a binomial distribution with n=29 and p=0.83, would the normal distribution provide a reasonable approximation? Why or why not.
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