2. We select a group of 1,000 middle-aged volunteers without kidney disease who are likely to suffer from insomnia/anxiety. We assign them randomly into two groups. Group 1 is told to live their lives as normal and take any meds proscribed by their doctor. Group 2 is told not to use BZDS for 2 years, and doctors prescribe Group 2 with natural alternatives to BZDS. After those 2 years, we follow them up and check to see who developed kidney disease in each group, and compare the groups. 3. We will get the age-adjusted incidence rates of kidney disease in 30 different countries Jand compare those with the rates of BZD consumption per capita (total usage in country/ total population of that country). We will then check to see if there is a correlation between the BZD consumption and kidney disease. 4. In 2010, we examined the medical records of 2,000 patients ages 53+ associated with Kaiser Permanente (large health care organization) who did NOT have kidney disease in 2005. Then, we look back in the records to see who took BZDS from 2000-2005. After that, we look to see who developed kidney disease from 2006 until 2008. We compared the rates of kidney disease among those who took the BZDS and those who didn't.

2. We select a group of 1,000 middle-aged volunteers without kidney disease who are likely to suffer from insomnia/anxiety. We assign them randomly into two groups. Group 1 is told to live their lives as normal and take any meds proscribed by their doctor. Group 2 is told not to use BZDS for 2 years, and doctors prescribe Group 2 with natural alternatives to BZDS. After those 2 years, we follow them up and check to see who developed kidney disease in each group, and compare the groups. 3. We will get the age-adjusted incidence rates of kidney disease in 30 different countries Jand compare those with the rates of BZD consumption per capita (total usage in country/ total population of that country). We will then check to see if there is a correlation between the BZD consumption and kidney disease. 4. In 2010, we examined the medical records of 2,000 patients ages 53+ associated with Kaiser Permanente (large health care organization) who did NOT have kidney disease in 2005. Then, we look back in the records to see who took BZDS from 2000-2005. After that, we look to see who developed kidney disease from 2006 until 2008. We compared the rates of kidney disease among those who took the BZDS and those who didn't.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 27PPS

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