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A computer specialty manufacturer has a two-person technical support staff who work independently of each other. In the past, Tom has been able to solve 75% of the problems he has handled, and Adam has been able to solve 95% of the problems he has handled. Incoming problems are randomly assigned to either Tom or Adam. If a technical problem has just been assigned to the support department, what is the probability that it will be handled by Adam? If it turns out that the problem was solved, what is the probability that it was handled by Adam?
The average family size was reported as 3.18. A random sample of families in a particular school district resulted in the following family sizes: 5 4 5 4 4 3 6 4 3 3 5 6 3 3 2 7 4 5 2 2 2 3 52
Share with your peers the null and alternative hypotheses for a decision that is relevant to your life. This can be a personal item or something at work.
Assume that the process is in control and that the population of all jar fills is normally distributed. (Round the z-values to 2 decimal places and final answer to 4 decimal places. Negative amounts should be indicated by a minus sign.)
Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car.
What is critical z-value which corresponds to confidence level of 88%.
A medical researcher estimates that no more than 55% of the U.S. adults eat breakfast every day. In a random sample of 250 U.S. adults, 56.4% say that they eat breakfast every day.
A survey of n = 703 randomly selected workers showed that 61% of those respondents found their jobs through networking.
As sample size increases, the standard error of M _______________ .
Write a short report dicussing the claim that average diastolic blood pressure in 1958 (variable dbp58) is the same for men who were alive in 1968 and for men who were not.
Compute the value of t. What is your decision regarding the null hypothesis? Briefly summarize your results.
How to calculate the trimmed mean for each sample by deleting the smallest and largest observation and then corresponding trimming percent ages.
Calculate and interpret standard error of estimate se and coefficient of determination R2 for these data.
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