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researcher would like to test the effectiveness of a newly developed growth hormone. The researcher knows that under normal circumstances laboratory rats reach an average weight of u= 950 grams at 10 weeks of age, The distribution of weights is normal with a standard deviation of 30. A random sample of n=25 newborn rats is obtained, and the hormone is given to each rat. When the rats In the sample reach 10 weeks old, each rat is weighed. The mean weight for this sample is M=974.
a. Sketch the appropriate distribution, and locate the critical region for the alpha level =.05.
The results of a published research study indicated that babies fed on breast milk gained an average of 11 ounces per week; babies fed a powdered instant baby formula gained an average of 2 ounces per week.
A random sample of 16 ages is drawn from the population, and we find the sample mean of these observations to be μ = 8.76. What is the value of the test statistic?
martindate were tester which can compare two materials in sigle run, weights losses from seven runs. Examine these data by creating the 90% confidence interval for difference of means. Define your assumption.
As part of this trial, they want to find out whether there is a difference between effectiveness for women and for men. At = .05, what is the test value?
If µ = µ1 = µ2 = µ3 = 60 and σ21 = σ22 = σ23 = 15, calculate the probability that the total time to finish the three repair tasks is at most 200 minutes.
Given this Analysis of Variance information for three treatments each with six observations.with SST =1116, SSE=1068, SSTotal =2184. What is the mean square for treatments?
A large electronics company wants to estimate the proportion of all households that own GPS machines. What sample size is required that would give the maximum error of 2.0% for a 95% confidence interval? An unscientific survey had a result of 30%.
Construct a probability for the number of students in the sample who watch soap operas.
Assuming that the standard deviation is known to be 121.8Ib use 0.05 significance level to test the claim that the population mean of all such bear weights is greater than 150 Ib
From past experience, an automobile insurance company knows that a given automobile will suffer a total loss with probability .02, a 50% loss with probability .08, or a 25% loss with probability .15 during a year.
How would you find normal approximation to the binomial probability in part a? please show how you would calculate mean and standard deviation in form for normal approximation to the binomial and show the final form you would use w/o going through..
Please summarrize, find the most important formulas, and explain a solve problem for each of this statictics topics: A. Simple regression and correlation B. Multiple regression and correlation
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