Chapter 5, Section 2, Exercise 046Smoke-Free Legislation and AsthmaHospital admissions for asthma in children younger than 15 years was studied1 in Scotland both before and after comprehensive smoke-free legislation was passed in March 2006. Monthly records were kept of the annualized percent change in asthma admissions, both before and after the legislation was passed. For the sample studied, before the legislation, admissions for asthma were increasing at a mean rate of 5.2% per year. The standard error for this estimate is 0.7% per year. After the legislation, admissions were decreasing at a mean rate of 18.2% per year, with a standard error for this mean of 1.79%. In both cases, the sample size is large enough to use a normal distribution.1Mackay, D., et. al., ‘‘Smoke-free Legislation and Hospitalizations for Childhood Asthma,” The New England Journal of Medicine, September 16, 2010; 363(12):1139-45. (b) Find a 99% confidence interval for the same quantity after the legislation.Round your answers to one decimal place.The 99% confidence interval is ________% to ________% V Correct.(a) Find a 99% confidence interval for the mean annual percent rate of change in childhood asthma hospital admissions in Scotland before the smoke-free legislation.Round your answers to one decimal place.7.0%.3.4The 99% confidence interval istoSHOW HINTSHOW SOLUTIONLINK TO TEXTx Incorrect.(b) Find a 99% confidence interval for the same quantity after the legislation.Round your answers to one decimal place.22.8% to13.6The 99% confidence interval is%.

Name: Chapter 5, Section 2, Exercise 046Smoke-Free Legislation and AsthmaHos
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Description: Chapter 5, Section 2, Exercise 046Smoke-Free Legislation and AsthmaHospital admissions for asthma in children younger than 15 years was studied1 in Scotland both before and after comprehensive smoke-free legislation was passed in March 2006. Monthly

Given : Before legislation : Mean =5.2%=0.052 per year Standard error =0.7% =0.007 per year After…

Answered: Chapter 5, Section 2, Exercise 046…

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Chapter 5, Section 2, Exercise 046

Smoke-Free Legislation and Asthma

Hospital admissions for asthma in children younger than 15 years was studied¹ in Scotland both before and after comprehensive smoke-free legislation was passed in March 2006. Monthly records were kept of the annualized percent change in asthma admissions, both before and after the legislation was passed. For the sample studied, before the legislation, admissions for asthma were increasing at a mean rate of 5.2% per year. The standard error for this estimate is 0.7% per year. After the legislation, admissions were decreasing at a mean rate of 18.2% per year, with a standard error for this mean of 1.79%. In both cases, the sample size is large enough to use a normal distribution.

¹Mackay, D., et. al., ‘‘Smoke-free Legislation and Hospitalizations for Childhood Asthma,” The New England Journal of Medicine, September 16, 2010; 363(12):1139-45.

(b) Find a 99% confidence interval for the same quantity after the legislation.

Round your answers to one decimal place.

The 99% confidence interval is ________% to ________%

V Correct.
(a) Find a 99% confidence interval for the mean annual percent rate of change in childhood asthma hospital admissions in Scotland before the smoke-free legislation.
Round your answers to one decimal place.
7.0
%.
3.4
The 99% confidence interval is
to
SHOW HINT
SHOW SOLUTION
LINK TO TEXT
x Incorrect.
(b) Find a 99% confidence interval for the same quantity after the legislation.
Round your answers to one decimal place.
22.8
% to
13.6
The 99% confidence interval is
%.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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