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Explain Observational and Experimental Study Designs. A study published in the New England Journal of Medicine (Aug. 2001) suggests that it's dangerous to enter a hospital on a weekend. During a 10-year period, researchers tracked over 4 million emergency admissions to hospitals in Ontario, Canada. Their findings revealed that patients admitted on weekends had a much higher risk of death than those who went to emergency room on weekdays.
a) The researchers said difference in death rates was "statistically significant." Explain in this context what that means.
b) What kind of study was this? Describe.
c) If you think you're quite ill on Saturday, should you wait until Monday to seek medical help? Explain.
d) Propose some possible explanations for this troubling finding.
Write all the possible samples of size 2 and calculate the average or median of each one.
Calculate expected number of interruptions per day. Calculate standard deviation.
Assume if random samples of size n = 9 are selected can we say anything about the distribution of sample means.
Develop appropriate hypotheses such that rejection of H0 will support the researcher's contention.
At the .01 significance level, is there a relationship between job pressure and age?
Give a possible description why serum cholesterol values for older males are lower than for younger males and reverse is true for females.
Part 1. What is the appropriate distribution for such data? Part 2. Is this lot anomalous?
Take a confidence interval for the difference in the average of renting between the first andthird hotel.
What is the level of measurement for the variable, "political ideology" measured as "Very Conservative", "Conservative","Moderate", "Liberal" and "Very Liberal".
Which of the following statements regarding the coefficient of correlation is true. A value of 0.00 indicates two variables are not related.
Is the z value positive or negative? Explain why it should be positive or negative.
Use the trend equation to calculate the points for 2003 and 2005. Plot them on the graph and draw the regression line.
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