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It is claimed that an automobile is driven on the average of less than 25,000 km per year. To test this claim, a random sample of 100 automobile owners are asked to keep a record of the kilometers they travel. Would you agree with this claim if the random sample showed an average of 23,500 km and a standard deviation of 3,900 km? Use 0.01 level of significance.
To test productivity quickly, he has his shift foremen record number of defective T-shirts made in randomly sampled week. Critical Value: t =Test Statistic (Show procedure.): t =?
Given the following sample information, test the hypothesis that the treatment means are equal at the .05 significance level.
Assuming that the distribution of the salaries is normal, what is the probability that the average for this sample is between $36,000 and $42,000.
How large should n be so that Chebyshev's inequality guarantees that the estimate is within 5 centimeters from h, with probability at least 0.99?
The dean of students believes that teh costs are greater this semester. What is the test value for this hypothesis?
Compute the value of the proportion of the population.
A processor of carrots cuts green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test weight of the boxes, a few were checked.
A study of 20 worldwide financial institutions showed the correlation between their assets and pretax profit to be .86. At the .05 significance level
Use the binomial distribution in the Data Analysis add - in to simulate the distribution of men and women among the next ten arrivals at an emergency room, assuming that, on average, six people out of ten who arrive are men.
In an analysis of variance problem involving 3 treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is:
What is overall mean and standard deviation of the test scores? Sketch the distribution and show where you are and where your friend is?
She wants to be 95% confident that her estimate is correct. If the standard deviation is $1050, how large a sample is needed to be accurate within $200?
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