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Suppose we wish to estimate the population mean using a confidence interval. When is it appropriate to use a z-score? When is it appropriate to use a t-score?
A high school counselor is interested in the percentage of students who will be going to college. She randomly picks 60 students and finds that 53 will be going to college. Use a 95% confidence level to find the population proportion.
For each given pair of numbers find the quadraticequation with integral coefficients that has the numbers as its solutions.
If the process mean and standard deviation remain constant, what proportion of the output from this process will be defective?
The survey reported that 31% of the respondents feel they have to save more for retirement to make up for what they lost. Develop a 95% confidence interval for the population proportion.
At 95% confidence using the critical value approach, test to see if the percentage of defective systems produced by x-Game has exceeded the industry standard.
When using the normal distribution (empirical rule) to obtain the bounds for a 99.73 percent of the values in a population, the interval generall will be _________________ the interval obtained for the same percentage if Chebyshev's theorem is ass..
Using Area of Residence (Area A or Area B) as my stratification factor, explain, in detail, how you would select a sample of 60 inhabitants by using stratified random sampling.
Produce a printout of the frequency tables, showing the total of both frequencies.
A random sample of size 25 is taken from a normal population having a mean of 80 and a standard deviation of 5. A second random sample of size 36 is taken from a different normal population having a mean of 75 and a standard deviation of 3.
Use this information to find the upper and lower limits of the first class if you wish to construct a frequency distribution with 10 classes.
What is the probability that of today's 1,000 callers at least 5 received a busy signal? Use the poisson approximation to the binomial. (Round your answer to 4 decimal places.)
The university police department must write, on average, five tickets per day to keep department revenues at budgeted levels. Suppose the number of tickets written per day follows Poisson distribution with a mean of 9 tickets per day.
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