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A group of researchers studied the effect of global environmental change on grazing lands. Their article reported the results of 171 different hypothesis tests. Of these tests, 4 were determined to be statistically significant at the 0.05 level.
1. When constructing and implementing hypothesis tests, what reasoning is used behind the statement of the null and alternative hypotheses?
2. Why are hypothesis tests set up in this way?
3. For each of the tests, what was the probability of committing a type I error? Explain.
4. Based on this information, what conclusions might be drawn?
Dividend is expected to grow 7% a year for next 3 years and then at 5% a year after that. Determine the expected dividend per share for each of the next five years?
Does lovastatin reduce the risk of heart attack? Researchers gave lovastatin to 2,325 people and an placebo to 2,081 people. the average age of both groups in 58 years.
Suppose a wildlife service wishes to estimate, with 99% confidence, the mean number of days of hunting per hunter for all licensed hunters in the state during a given season, with a bound on the error of estimation equal to 2 hunting days.
the lifetime of a mechanical assembly in a vibration test is exponentially distributed with a mean of 400 hours.a what
What is the 90% confidence interval estimate of the difference between the two population means? How do the results compare in all the three approaches to hypothesis testing?
A recent survey of frozen convenience meals found a correlation of r=0.768 between calories and fat content in the sampled meals.
you want to know how the commuting time of your employees compare to departments competing for the same staff so you
Event A occurs with probability 0.2. Event B occurs with probability 0.3. Event C occurs with probability 0.4. If A, B, and C are disjoint, then
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a) What is the purpose of sampling? b) What are some concerns and dangers of sampling?
A firm will promote two employees out of a group of six men and three women. list the chances of this experiment if there is particular concern about gender equity.
Can we conclude at the 5% significance level that the population mean weight of athletic men is lower than the population mean weight of non-athletic men?
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