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The physical plant at the main campus of a large state university receives daily requests to replace florescent light bulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 41 and a standard deviation of 5. Using the empirical rule (as presented in the book), what is the approximate percentage of light bulb replacement requests numbering between 41 and 51?
Do not enter the percent symbol.
ans = %
The company gurantees that any cell phone which malfunctions within 3 years of purchase will be replaced. What percentage of cell phones do they expect to replace?
What percent of the sample means will be greater than 135 but less than 148 seconds? (Round your answer to 2 decimal places.)
Post a 200- to 250-word explanation of how your attitude about effective management has been affected by the information you gained regarding statistics in this course.
Suppose that $126,000 is to be allocated for advertising, research, and investment in the ratio 10:4:2. How much money will be allocated for each?
Here is an alternative to the Hosmer-Lemeshow goodness-of-fit test when at least one predictor is continuous: Partition values for the explanatory variables into a set of regions. Add these regions as a predictor in the model by setting up dummy v..
The company producing the Polluter must reduce the nitrogen oxide level so that at most 5% of its cars exceed the EPA level of 2.7 g/m. If the standard deviation remains 0.3 g/m, to what value must the mean level be reduced so that at most 5% of P..
Is it likely that you will answer at least forty-four questions correctly on the test? Explain. John randomly guesses to answer each question. Is his score of thirty-four out of eighty-eight unusual? Explain
from a population of cans of coffee marked 12 ounces a random sample of 50 cans was selected and the contents of each
Stock form a normal distribution with a mean of $8.52 with a standard deviation of 2.38. What percentage of the scores lie below $7.42?
What is the healthy-user bias? Why does it make it difficult to draw causal conclusions from observational studies? What is the prescriber effect? Why does it make it difficult to draw causal conclusions from observational studies
The tips from the financial advisers suggest that it may be useful to incorporate the number of credit lines on a log scale in this model rather than a linear scale as in Table 4. Do you agree? Why or why not?
Test the appropriate hypothesis by comparing with a critical value using o: = 0.05, and explain what your results mean. Compute the p-value for the test in part (a) and use it to perform the hypothesis test.
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