### Study on Birthweight and Maternal Smoking HabitsThe mean birthweight of an infant is hypothesized to be associated with the smoking status of the mother during the first trimester of pregnancy. The following data presents mothers divided into four categories based on smoking habits and the corresponding birthweights of their children.#### Categories and Data:**Group 1: Non-smoker (NONE)**- Birthweights: 7.5, 6.2, 6.9, 7.4, 9.2, 8.3, 7.6**Group 2: Ex-smoker (EX)**- Birthweights: 5.8, 7.3, 8.2, 7.1, 7.8**Group 3: Current smoker, < 1 pack per day (CUR < 1)**- Birthweights: 5.9, 6.2, 5.8, 4.7, 8.3, 7.2, 6.2**Group 4: Current smoker, ≥ 1 pack per day (CUR ≥ 1)**- Birthweights: 6.2, 6.8, 5.7, 4.9, 6.2, 7.1, 5.8, 5.4#### Statistical Test:Using statistical analysis software (Stata), conduct a test to determine if the mean birthweights are equal across all four groups at a significance level of alpha = 0.05.#### Question:What is the corresponding p-value?- 0.0284- 0.0137- 0.05- 0.737This setup allows readers to understand the influence of smoking on birthweights while choosing the p-value that could affect the hypothesis result.

Answered: nean lated with the oking status of the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 49 59 61 84 253 No 201 191 189 166 747 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
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