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A study of 200 computer service firms revealed these incomes after taxes:
Income After Taxes Number of FirmsUnder $1 million 102$1 million up to $20 million 61$20 million and more 37
What is the probability that a particular firm selected has $1 million or more in income after taxes?
What sample size must you take to be 96% confident that the results will be within $.75 of the true mean cost per call?
If we select a crew member at random, what is the probability the crew member earns:
Is this correlation statistically significant? He also found the regression coefficient to be -1.66. Is this regression coefficient statistically significant? Explain why or why not for each.
Gas Station pump signs, at one chain, encourage customers to have their oil checked, claiming that one out of every four cars should have its oil topped.
Calculate separate confidence intervals for the numbers of days absent for Clinic A and Clinic B, respectively.
Develop a 99% confidence interval for the population proportion.
Describe the standard normal distribution. Explain why it can be used to find probabilities for all normal distributions.
Evaluate each expression-Diameter of a circle. If the diameter of a circle is 1.3 * 10^-12 meters, then what is the radius?
Based on the information in part (a), what decision should the director make about the books used for the courses if the goal is to keep the cost below $300?
Lashing together logs of diameter .30m and length 1.8m. How many logs will be needed to keep them afloat in fresh water. take the density of the logs to be 800kg/m^3.
A manufacturer of microwaves gathers information on microwave sales from a random sample of 50 stores in a large retail chain. In the sample, the mean number of microwaves sold per store last week was 19, with standard deviation 2.
Gestational Age (Gestage, weeks) for sample of 100 low birth weight infants, and output from fitting a simple linear regression model to data, regressing Headcirc (Y) on Gestage (X).
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