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1. In an article in the Journal of Management, Morris, Avila and Allen studied innovation by surveying firms to find the number of new products introduced by the firms. A random sample of 100 California based firms are selected. Each firm is asked to report the number of new products introduced last year. The survey found that on average these firms introduced 5.68 products with a standard deviation of 8.70. Compute a 98% confidence interval for the new products introduced last year.
2. The score on the entrance test for a well known law school has a mean score of 200 points and a standard deviation of 50 points. At value should the lowest passing score be set if the school wishes only 2.5% of those taking the entrance test to pass?
3. A trans-oceanic airline conducted a study to determine whether the average weight of baggage checked by a passenger differs significantly from 45 pounds. A random sample of 25 passenger baggages recorded a mean weight of 43.5 pounds with a standard deviation 6 pounds. Can the airline conclude that the mean weight of checked baggage is significantly different from 45 pounds at a 95% level of confidence?
The cost for the conference room, instructor compensation, lab assistants, and promotion is $9,600. Micromedia rents computers for its seminars at a cost of $60 per computer per day. Question: find the breakeven point for this problem using Excel.
The number of bombardment necessary to achieve the disintegration of a certain nucleus is assumed to have the distribution above. In one sequence in which b bombardments are available, of these have already failed to disintegrate the nucleus. What..
What is the 95% confidence interval for the true mean length of the bolt?
Following a lognormal distribution with a mean of 3000 rpm and std deviation of 0.87, what if the boss want a 5% chance of HW failure before selling, how often would I have to replace this hardware ?
Determine the 90% confidence interval for average days worked by employees in all payroll departments?
Can you please give one example of a Qualitative data and one example of a Quantitative Data that you face daily? Please explain why it is a Quantitative or Qualitative data and describe the scale of measurement.
A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 175 and a standard deviation of 15. If an applicant is randomly selected, find the probability of a rating that is between 150 and 200.
625 males, 398 say they have gone to the dentist in the past year. Construct 90% and 95% confidence intervals for the population proportion.
Find the indicated probability using the geometric or Poisson distribution. A newspaper finds that the mean number of typographical errors per page is nine. Find the probability that?
The mean diastolic blood pressure for random sample of 90 people was 92 millimeters of mercury. If the standard deviation of individual blood pressure readings is known to be 12 millimeters of mercury
Obtain a test statistic and p-value assuming equal variances. Interpret these results.
Is the sample a part of the population or the population apart of the sample? Why would researchers just not use the entire population to be more accurate? Can you give an example of a sample from a given population?
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