Exercise 6 1. What are the frequency and percentage of the COPD patients in the severe airflow limitation group who are employed in the Eckerblad et al. (2014) study? 2. What percentage of the total sample is retired? What percentage of the total sample is on sick leave? 3. What is the total sample size of this study? What frequency and percentage of the total sample were still employed? Show your calculations and round your answer to the nearest whole percent. 4. What is the total percentage of the sample with a smoking history—either still smoking or former smokers? Is the smoking history for study participants clinically important? Provide a rationale for your answer. 5. What are pack years of smoking? Is there a significant difference between the moderate and severe airflow limitation groups regarding pack years of smoking? Provide a rationale for your answer. 6. What were the four most common psychological symptoms reported by this sample of patients with COPD? What percentage of these subjects experienced these symptoms? Was there a significant difference between the moderate and severe airflow limitation groups for psychological symptoms? 7. What frequency and percentage of the total sample used short-acting β 2 -agonists? Show your calculations and round to the nearest whole percent. 8. Is there a significant difference between the moderate and severe airflow limitation groups regarding the use of short-acting β 2 -agonists? Provide a rationale for your answer. 9. Was the percentage of COPD patients with moderate and severe airflow limitation using short-acting β 2 -agonists what you expected? Provide a rationale with documentation for your answer. 10. Are these findings ready for use in practice? Provide a rationale for your answer?

  solve for a  in the oblique triangle ABC; AB = 30; AC = 15 and angle B =  20   type out the two equations substituting the numbers from the diagram. First, type out the Law of Sines set of relationships. Next, type out the most appropriate version to use the Law of Cosines for this solution. make a prediction of which method will be  easier to use in finding a solution and why you think that is the case. solve for a using both methods  

Sample statistics, such as the sample mean or the sample proportion, can be used to estimate a population parameter (such as the population mean or the population proportion). For example, you can estimate the true mean weight of all newborn babies in the entire world by collecting a sample and using that sample to generate a 95% confidence interval. Because the sample is typically a relatively small portion of the entire population, errors will have to be considered. Using a sample to create a range or interval of values that estimates a population value is called a “confidence interval.” 1. Why is it often impossible to know the actual value of any population parameter? Explain and offer at least two examples of a population parameter that you cannot calculate, but that you can estimate. 2. A sample can be used to estimate a population parameter. How does the sample size affect the estimate? 3. To estimate a population parameter (such as the population mean or population proportion) using a confidence interval first requires one to calculate the margin of error, E. Why will there always be errors when using a sample to estimate a population? It is possible to use a sample to estimate a population parameter with 100% accuracy? Explain. 4. The value of the margin of error, E, can be calculated using the appropriate formula. The formula depends on whether one is estimating a mean or estimating a proportion. The formulas for E are the following (for 95% confidence): The Margin of Error, E, for means is: E = 1.96*s/sqrt(n), where s is the sample standard deviation and n is the sample size. The “sqrt” stands for square root. The Margin of Error, E, for proportions is: E = 1.96*sqrt[p*(1-p)/n], where s is the sample standard deviation and n is the sample size. Invent a variable, such as Age, Weight, Exam Score, etc. Next, invent a small set of data (20 data values) to describe that variable. Use Excel to calculate the sample mean of your data and the sample standard deviation. If you create 20 values, the sample size is 20. Use your data and calculations to determine the error E for your dataset. Use the formula for means. Show and include all your work and Excel results in your post. Include your dataset in your post and attach your Excel document.