The negative effects ambient air pollution on children's lung function has been well established, but less research is available about the impact indoor air pollution. The authors of an article investigated the relationship between ndoor air-pollution metrics and lung function growth among children ages 6-13 years living in four Chinese cities. For each subject in the study, the authors measured an important lung-capacity index known as FEV,, the forced volume (in ml) of air that is exhaled in 1 second. Higher FEV, values are associated with greater lung capacity. Among the children in the study, 514 came from households that used coal for cooking or heating or both. Their FEV, mean was 1421 with a standard deviation of 323. (A complex statistical procedure was used to show that burning coal had a clear negative effect on mean FEV, levels.) (a) Calculate and interpret a 95% (two-sided) confidence interval for true average FEV, level in the population of all children from which the sample was selected. (Round your answers to one decimal place.) Interpret the resulting interval. O we are 95% confident that the true population mean lies above this interval. O we are 95% confident that this interval contains the true population mean. O we are 95% confident that the true population mean lies below this interval. O We are 95% confident that this interval does not contain the true population mean. Does it appear that the parameter of interest has been accurately estimated? O This interval is quite narrow relative to the scale of the data values themselves, so it could be argued that the mean has been accurately estimated. O This interval is quite narrow relative to the scale of the data values themselves, so it could be argued that the mean has not been accurately estimated. O This interval is quite wide relative to the scale of the data values themselves, so it could be argued that the mean has not been accurately estimated. O This interval is quite wide relative to the scale of the data values themselves, so it could be argued that the mean has been accurately estimated. (b) Suppose the investigators had made a rough guess of 320 for the value of s before collecting data. What sample size would be necessary to obtain an interval width of 45 ml for a confidence level of 95%? (Round your answer up to the nearest whole number.) children fou may need to use the appropriate table in the Appendix of Tables to answer this question.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps