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Chapter 10, Problem 17AYU

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QUESTION:

Problem 17 AYU

Putting It Together: Paternal Smoking It is well-documented that active maternal smoking during pregnancy is associated with lower-birth-weight babies. Researchers Fernando D. Martinez and associates wanted to determine if there is a relationship between paternal smoking habits and birth weight. The researchers administered a questionnaire to each parent of newborn infants. One question asked whether the individual smoked regularly. Because the survey was administered within 15 days of birth, it was assumed that any regular smokers were also regular smokers during pregnancy. Birth weights for the babies (in grams) of nonsmoking mothers were obtained and divided into two groups, nonsmoking fathers and smoking fathers. The given data are representative of the data collected by the researchers. The researchers concluded that the birth weight of babies whose father smoked was less than the birth weight of babies whose father did not smoke. Source: “The Effect of Paternal Smoking on the Birthweight of Newborns Whose Mothers Did Not Smoke,” Fernando D. Martinez, Anne L. Wright, Lynn M. Taussig, American Journal of Public Health Vol. 84, No. 9

Nonsmokers

Smokers

4194

3522

3454

3998

3455

3066

3062

3771

3783

3150

2986

2918

3544

3746

4019

4216

3502

3457

4054

3518

3884

3493

3255

3234

4248

3719

3668

2860

3282

2746

3128

3290

3423

3686

2851

3145

3471

4354

3544

3807

3548

4104

3994

2976

4067

3963

3892

2768

3732

3823

3302

3769

3509

3629

3436

3976

3263

4131

3129

4263

(a) Is this an observational study or a designed experiment? Why?

(b) What is the explanatory variable? What is the response variable?

(c) Can you think of any lurking variables that may affect the results of the study?

(d) In the article, the researchers stated that “birthweights were adjusted for possible confounders…” What does this mean?

(e) Determine summary statistics (mean, median, standard deviation, quartiles) for each group.

(f) Interpret the first quartile for both the nonsmoker and smoker group.

(g) Draw a side-by-side boxplot of the data. Does the side-by-side boxplot confirm the conclusions of the study?

Questions & Answers

QUESTION:

Problem 17 AYU

Putting It Together: Paternal Smoking It is well-documented that active maternal smoking during pregnancy is associated with lower-birth-weight babies. Researchers Fernando D. Martinez and associates wanted to determine if there is a relationship between paternal smoking habits and birth weight. The researchers administered a questionnaire to each parent of newborn infants. One question asked whether the individual smoked regularly. Because the survey was administered within 15 days of birth, it was assumed that any regular smokers were also regular smokers during pregnancy. Birth weights for the babies (in grams) of nonsmoking mothers were obtained and divided into two groups, nonsmoking fathers and smoking fathers. The given data are representative of the data collected by the researchers. The researchers concluded that the birth weight of babies whose father smoked was less than the birth weight of babies whose father did not smoke. Source: “The Effect of Paternal Smoking on the Birthweight of Newborns Whose Mothers Did Not Smoke,” Fernando D. Martinez, Anne L. Wright, Lynn M. Taussig, American Journal of Public Health Vol. 84, No. 9

Nonsmokers

Smokers

4194

3522

3454

3998

3455

3066

3062

3771

3783

3150

2986

2918

3544

3746

4019

4216

3502

3457

4054

3518

3884

3493

3255

3234

4248

3719

3668

2860

3282

2746

3128

3290

3423

3686

2851

3145

3471

4354

3544

3807

3548

4104

3994

2976

4067

3963

3892

2768

3732

3823

3302

3769

3509

3629

3436

3976

3263

4131

3129

4263

(a) Is this an observational study or a designed experiment? Why?

(b) What is the explanatory variable? What is the response variable?

(c) Can you think of any lurking variables that may affect the results of the study?

(d) In the article, the researchers stated that “birthweights were adjusted for possible confounders…” What does this mean?

(e) Determine summary statistics (mean, median, standard deviation, quartiles) for each group.

(f) Interpret the first quartile for both the nonsmoker and smoker group.

(g) Draw a side-by-side boxplot of the data. Does the side-by-side boxplot confirm the conclusions of the study?

ANSWER:

Answer :

Step 1 :

  1. Observational study.

  1. Explanatory variable : Whether or not the father smoked and Response variable : birth weight.
  2.  Yes, Eating habits and exercise habits may affect the results of the study.

  1.  The researchers attempted to adjust their results for any variables that may also be related to birth weight.

  1. For nonsmokers

           Mean =  = 109965/30 = 3665.5

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