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A manufacturer claims that the mean lifetime, μ, of its light bulbs is 49 months. The standard deviation of these lifetimes is 6 months. Ninety bulbs are selected at random, and their mean lifetime is found to be 47 months. Can we conclude, at the 0.01 level of significance, that the mean lifetime of light bulbs made by this manufacturer differs from 49 months? Perform a two-tailed test.
Suppose a one tailed t test is being applied to find out if the population mean is less than $120. The level of significance selected is 0.01 and 26 bank accounts were sampled.
Of the physics graduates at a university, 30% had a starting salary of $30,000 or more. If five of the graduates are selected at random, find the probability that all had a starting salary of $30,000 or more.
What value is business research and hypothesis testing to a company? What is the "perfect" standard normal distribution? Explain your answer.
Determine the probably of selecting a female or an accounting major? Which rule of addition did you apply?
A sample of the personal files of eight male employees revealed that during a six month period they lost the following number of days due to illness 2, 0, 6, 3, 10, 4, 1, 2. Calculate the standard deviation. show your work.
A researcher conducts some research in which they identify a significant positive correlation (r =0.42) between the number of children a person has and their life satisfaction. Which of the following is it inappropriate to conclude from this resea..
In a survey of the 3000 boy scouts in the National Capital Area Council (NCAC), it is found that they have a mean weight of 135 lbs with a standard deviation of 15 lbs. How many of the boy scouts have weights between 120 lbs and 150 lbs.?
Develop the "best" regression model possible using this set of variables to help you predict the Risk. State your final model. Interpret the coefficients for the model (i.e. what do the numbers mean?).
Create a 95% confidence interval for population mean. Is it sensible that population mean is 28 weeks? give explanation for your answer.
1) We are 99% confident that the proportion of patients surveyed that have experienced a reduction in symptoms is between 0.2112 and 0.6638. 2) We are certain that 99% of patients will be between 0.2112 and 0.6638. 3) We cannot determine the proper..
Explain the concept of "Regression Analysis", its types (3 types at least), applications and usefulness. Provide real application of its usage.
Heather Carielli is a former student who earned a master degree at the Univeristy of Arkansas. When she randomly selected 16 new text books in the college book store she found that they had prices with a mean of $70.41 and a standard deviation of ..
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