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An electrical firm manufactures a 100-watt light bulb, which, according to specifications written on the package, has a mean life of 900 hours with a standard deviation of 50 hours. At most, what percentage of the bulbs fail to last even 700 hours? Assume that the distribution is symmetric about the mean (step by step)
The average cost of a one bedroom apartment in a town is $550 per month. What is the probability of randomly selecting a sample of 50 one bedroom apartments in this town and getting a sample mean of less then $530 if the population standard deviat..
a) What statistical test should be used to analyze these data? b) Identify H0 and Ha for this study. c) Conduct the appropriate analysis d) Should H0 be rejected? What should the researcher conclude?
What is the probability that all tree students pick a different card?
First- and second-place trophies are awarded to the two persons receiving the highest and second-highest number of votes. In how many different ways can the trophies be awarded?
the following are the numbers of defective parts produced in a shift by 10 workers before and after going through a
a company pays its employees an average of 15.90 an hour with a standard deviation of 1.50. if thh wages are normally
the shear strength of each of ten test spot welds is determined yielding the following data psi409 382 389 386 377 358
1. the quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of
If 900 users visited the site, would the probability that more than 250 of them click on an ad be higher or lower than the answer found in part
read and answer the following questions for this onelets talk a little bit about accuracy. when you fit a
Define the population. State the hypotheses for the study. Decide which statistical test is appropriate and compute the test statistic (z or t). Why is the test appropriate?
A coin is flipped 5 times in a row. What is the probability that it will come up heads all 5 times? For the data in question above, calculate the Sum of Squares Error (SSE).
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