.Assume a researcher wants to compare the mean Alanine Aminotransferase (ALT) levels n vo populations, individuals who drink alcohol and individuals who do not drink alcohol. The hean ALT levels for the individuals who do not drink alcohol is 35 with a standard deviation of 5, and 41 individuals were in the sample. The mean ALT levels for individuals who drink lcohol is 73 with a standard deviation of 21, and 43 individuals were in the sample. Construct nd interpret a 95% confidence interval demonstrating the difference in means for those ndividuals who drink alcohol when compared to those who do not drink alcohol. a. The researchers are 95% confident that the true mean difference in ALT values between the population of drinkers and population of non-drinkers is betwveen 24.22 and 39.78. b. The researchers are 959% confident that the true mean difference in ALT values between the population of drinkers and population of non-drinkers is between 2433 and 39.67. c. The researchers are 95% confident that the true mean difference in ALT values betwcen the population of drinkers and population of non-drinkers is between 30.16 and 45.84. d. The researchers are 95% confident that the true mean difference in ALT values between the population of drinkers and population of non-drinkers is between 29.43 and 44.57.

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populations blood is between O255 mcg m and .65 mcg mL.
The researchers are 95.0% confident the true mean concentration of medication in the
population's blood is between 4.568 meg mL and 8.832 meg/mL.
d. The researchers are 95.0% confident the true mean concentration of medication in the
population's blood is between 4.5615 mcg mL and 8.8385 meg/mL.
C.
2. Assume a researcher wants to compare the mean Alanine Aminotransferase (ALT) levels in
two populations, individuals who drink alcohol and individuals who do not drink alcohol. The
mean ALT levels for the individuals who do not drink alcohol is 35 with a standard deviation of
15. and 41 individuals were in the sample. The mean ALT levels for individuals who drink
alcohol is 73 with a standard deviation of 21, and 43 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.
The researchers are 95% confident that the true mean difference in ALT values between
the population of drinkers and population of non-drinkers is between 24.22 and 39.78.
b. The reseaarchers are 95% confident that the true mean difference in ALT values between
the population of drinkers and population of non-drinkers is between 24.33 and 39.67.
c. The researchers are 95% confident that the true mean difference in ALT values beetween
the population of drinkers and population of non-drinkers is bettween 30.16 and 45.84.
d. The researchers are 95% confident that the true mean difference in ALT values between
the population of drinkers and population off non-drinkers is between 29.43 and 44.57.
a.
Transcribed Image Text:populations blood is between O255 mcg m and .65 mcg mL. The researchers are 95.0% confident the true mean concentration of medication in the population's blood is between 4.568 meg mL and 8.832 meg/mL. d. The researchers are 95.0% confident the true mean concentration of medication in the population's blood is between 4.5615 mcg mL and 8.8385 meg/mL. C. 2. Assume a researcher wants to compare the mean Alanine Aminotransferase (ALT) levels in two populations, individuals who drink alcohol and individuals who do not drink alcohol. The mean ALT levels for the individuals who do not drink alcohol is 35 with a standard deviation of 15. and 41 individuals were in the sample. The mean ALT levels for individuals who drink alcohol is 73 with a standard deviation of 21, and 43 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. The researchers are 95% confident that the true mean difference in ALT values between the population of drinkers and population of non-drinkers is between 24.22 and 39.78. b. The reseaarchers are 95% confident that the true mean difference in ALT values between the population of drinkers and population of non-drinkers is between 24.33 and 39.67. c. The researchers are 95% confident that the true mean difference in ALT values beetween the population of drinkers and population of non-drinkers is bettween 30.16 and 45.84. d. The researchers are 95% confident that the true mean difference in ALT values between the population of drinkers and population off non-drinkers is between 29.43 and 44.57. a.
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