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Suppose a certain species of fawns between 1 and 5 months old have a body weight that is approximately normally distributed with mean kilograms and standard deviation kilograms. Let x be the weight of a fawn in kilograms. Convert the following x interval to a z interval. Round to the nearest hundredth.
A company has random drug test employee numbers range from 1 to6296. Find probability of selecting number less than 1000 and selecting a number divisible by 1000.
The mean return for the random sample of 33 mutual funds is 14.93 percent with a standard deviation of 9.57. Test the null hypothesis: H0: mu = 15% at α = 0.05.
Pulse rate is an important measure of the fitness of a person's cardiovascular system. The mean pulse rate for all U.S. adult males is approximately 72 heart beats per minute.
Make a depreciation schedule. A $1,200 postage printing system depreciated using the straight-line method over 4 years.
Test hypothesis that two processes have identical fractions nonconforming. Use a = 0.05. Create 90% confidence interval on difference in fraction nonconforming between two processes.
how many chocolate chip cookies will he need to sample to estimate the mean to within 2, what is a 99% confidence interval for the average number of chips per cookie?
currently available medication is -9.4 minutes with a standard deviation of 2.8 minutes. Construct a 95% CI for the mean difference in times between the experimental and currently available medication.
The company will replace any printer that fails during the guarantee period. How long should speedy jet printers be guaranteed if the company wishes to replace no more than 15% of the printers?
Although Bob raised the price to $1.75, sales of quarter-pound burgers rose to 8,200. Explain why this does not represent a violation of the law of demand.
Neckwarmers. Mountainside Fleece sold 40 Neckwarmers. Solid-color neckwarmers sold for $9.90 each and print ones sold for $12.75 each.
Think about how correlation is often miscast as causation. That is, cause is attributed to a variable when in fact.
We forecast that 20% of group 1 and 30% of group 2 will experience outcome. If we recruit the equal number of individuals in each of the groups, how many individuals do we need to study?
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