Passive exposure to environmental tobacco smoke has been associated an increased frequency of respiratory tract infections in normal children. Is this association me pronounced in children with cystic fibrosis? To answer this question, 43 children (18 girls and boys) attending a 2-week summer camp for cystic fibrosis patients were studied (New England Jour of Medicine, Sept. 20, 1990). Among several variables measured were the child's weight percent (y) and the number of cigarettes smoked per day in the child's home (x). a. For the 18 girls, the coefficient of correlation between y and x was reported as r = -. this result. gre .50. Interpr b. Refer to part a. The p-value for testing Ho: p = 0 against Ha: p # 0 was reported as p = .0 n Interpret this result. c. For the 25 boys, the coefficient of correlation between y and x was reported as r = -.12. Interpr this result.

The researchers reported:   Consumer masculinity was strongly correlated with appearance-related self-esteem (r = 0.40, p < .001) and media influence (r = 0.62, p < .001), but not correlated with overall self-esteem (r = 0.08, p > .05).   a.  State the correlations that were significant. b.  Which correlation was the strongest?

6.50 How's it going?: The American National Election Studies (ANES) collects data on voter attitudes and intentions as well as demographic information. In this question we will focus on two variables from the ANES dataset (ANES, 2012). region (levels: Northeast, North Central, South, and West) whether the respondent feels things in this country are generally going in the right direction or things have pretty seriously gotten off on the wrong track To keep calculations simple we will work with a random sample of 500 respondents from the ANES dataset. The distribution of responses are as folows: Right Direction Wrong Track Total Northeast 29 54 83 North Central 44 77 121 South 62 131 193 West 36 67 103 Total 171 329 500 There are TWO parts to this question. One is a Chi-Squared GOF and one is a Chi-Squared Test for Independence. Think about the differences between the two tests to determine which one to use on which part. a) Region: According to the 2010 Census, 18% of US residents live…

A small study (n=10) is designed to assess if there is an association between smoking in pregnancy and low birth weight. Low birth weight babies are those born less than 5.5 pounds.  The following data represent the birth weights, in pounds, of babies born to mothers who reported smoking in pregnancy and those who did not.   Mother smoked in pregnancy                   5.0            4.2       4.8       3.3            3.9 Mother did not smoke during pregnancy        5.1            4.9       5.3       5.4            4.6   Is there a significant difference in birth weights between mother who smoked during pregnancy and those who did not?  Apply the Mann Whitney U Test at a 5% level of significance.   Complete the table below.         Total Sample (Ordered Smallest to Largest) Ranks Mother Smoked in Pregnancy Mother Did Not Smoke in Pregnancy Rank Smoked Did Not Smoke Smoked Did Not Smoke 5.0 5.1 1 3.3       4.2 4.9 2…