Quiz 2 Answers.docx - Quiz 2 Week 7 Brittany Johnson...

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Quiz 2 Week 7 Brittany Johnson Chapters 6 - 10 75 points total, 37 questions Place answers here Chapter 6 Chapter 7 1. 1 1.3 2. 2 2.4 3. 3 3.2 4. 3 4.3 1.T 1.T 2.T 2.T 3.F 3.T 4. T 4.T Chapter 8 Chapter 9 1.4 1.1 2.3 2.4 3.1 3.1 4.1 4.2 1.T 1.T 2.F 2.T 3.F 3.T 4.T 4.F Chapter 10 1.T 2.F 3.T 4.F 5.T Chapter 6 Multiple Choice 1. Assume researchers are trying to find out the mean concentration levels of a specific drug in a population of individuals’ blood during a clinical trail. The researchers find that the sample population n= 100 has a mean concentration of 225 ng/mL with a standard deviation of 47
ng/mL. Calculate a 95% confidence interval for the mean concentration level of the medication for the population’s blood and interpret it. [1] The researchers are 95.0% confident the true mean concentration of medication in the population’s blood is between 215.79 ng/mL and 234.21 ng/mL. [2] The researchers are 95.0% confident the true mean concentration of medication in the population’s blood is between 200 ng/mL and 300 ng/mL. [3] The researchers are 95.0% confident the true mean concentration of medication in the population’s blood is between 132.88 ng/mL and 317.12 ng/mL. [4] The researchers are 95.0% confident the true mean concentration of medication in the population’s blood is between 147.69 ng/mL and 302.32 ng/mL. Multiple Choice 2. Assume a researcher wants to compare the mean Aspartate Amino Transferase (AST) levels in two populations, individuals who drink alcohol and individuals who do not drink alcohol. The mean AST levels for the individuals who don’t drink alcohol is 25 with a standard deviation of 10, and 42 individuals were in the sample. The mean AST levels for individuals who drink alcohol is 29 with a standard deviation of 13, and 53 individuals were in the sample. Construct and interpret a 95% confidence interval demonstrating the difference in means for those individuals who drink alcohol when compared to those who do not drink alcohol.
[2] The researchers are 95% confident that the true mean difference in AST values between the population of drinkers and population of non-drinkers is between –0.77 and 8.77. [3] The researchers are 95% confident that the true mean difference in AST values between the population of drinkers and population of non-drinkers is between –0.87 and 8.87. [4] The researchers are 95% confident that the true mean difference in AST values between the population of drinkers and population of non-drinkers is between 0.00 and 8.00. Multiple Choice

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