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1. What is the relationship between correlations and "cause and effect" relationships?
2. Think of two quantitative variables that might be correlated, but not have a cause and effect relationship.
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
Assuming both assertions are correcting and assuming normal distributions, which review book is more likely to result in an SAT gain over 60 points?
a) identify the null and alternative hypothesis, show work b) determine the test statistic, show work c) determine the p value, show work
1.In a recent article U.S. News and World Report rated pediatric hospitals and provided data on several characteristics, including daily inpatient volume and nurse to patient ratio, for the top 30 hospitals on its list (U.S. News and World Report, Ju..
an investigator wants to test if there is a difference in endotoxin levels in children who are exposed to endotoxin
A random sample of 16 units gives a sample mean of $89,673.12. Give a 95% confidence interval for the average value of all properties of this kind.
An independent-measures study produces sample means of M1 = 20 and M2 = 17, and a pooled variance of 9. For this study, what is Cohen's d?
a particular engine bearing plant has three manufacturing lines .for line a the porportion of output bearing that are
Sample from a normal population having a standard deviation of 0.04, what is the probability that the mean of a random sample of size 25 will be "off" by at most 0.02.
What is the probability that a sample mean from a sample size 16 lies above 145 lb?- Find P95, the 95th percentile for the population of women's weights.
You are working on a magic pill that you think might totally eliminate pain when given to patients who are experiencing severe pain. In your work, you have discovered three ingredients that might be effective if each is used alone. Which drug ther..
The consultant is given a sample of 225 batteries to test. A. Calculate the standard error of the mean.
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