Education levels

 

 

Consider a one-way ANOVA result where F-obtained is 3.97, = 3, = 20 and alpha level = 0.01. Find the F-critical for this test. Do we accept or reject the null hypothesis? Explain your conclusion.

 

 

Does the ideal number of children for a family vary across education levels? Use the variables CHLDIDEL and DEGREE in your GSS dataset to investigate this question. Run a one-way ANOVA model of CHLDIDEL on DEGREE groups in Stata and evaluate the results based on an alpha of .05. Is there a significant difference in the ideal number of children among the defined education level groups? Explain your conclusion.
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Sample Solution

Education levels

The number of children in a family and the likelihood that a child will study beyond the compulsory level are inversely associated, even when other important determinants of children`s schooling are controlled. For example, numerous studies of education attained in the United States have shown that schooling is negatively correlated with sibship size. That is, children with fewer brothers and sisters obtain more schooling than those with more siblings. This negative association exists for many different measures of children`s human capital, including completed schooling, standardized test scores, and grades, and holds even after family socioeconomic characteristics are controlled (Blake 1989; Featherman and Hauser 1978; Steelman et al. 2002).

ntroduction:
Malaria is a life-threatening disease and is widespread in the tropical and subtropical regions mainly around the equator. Malaria is a protozoan disease and transmitted through infected female anopheles mosquitoes. There are five Plasmodium species which can infect human beings namely Plasmodium falciparum (Pf), Plasmodium vivax (Pv), Plasmodium malariae (Pm), Plasmodium ovale (Po) and Plasmodium knowlesi (Pk). In India, Pf and Pv are equally contributing to the malaria burden in the country, but a gradual increase in Pf cases is observed since last five years. According to NVBDCP, around 0.88 million malaria cases were reported in India and amongst them 0.46 million are Pf cases as it is more virulent (NVBDCP 2013). The highest number of malaria cases reported in India were from Odisha (25.6%) followed by Chhattisgarh (13.3%), Jharkhand (11.6%), Madhya Pradesh (8.7%), Gujarat (6.7%), Maharashtra (5.2%), other states (14.3%) and North Eastern states, which contributes 8.3% malaria cases in the country (NVBDCP-2013).
In the past, chloroquine (CQ) was effective for treating nearly all malaria cases. However, CQ resistance of Pf was first reported in Assam, India in 1973 (Sehgal et al.1973) and number of studies until 1977 indicated widespread presence of CQ resistance Pf in Assam, Arunachal Pradesh, Mizoram and Nagaland. Since then drug resistance has been reported from several other parts of the country (Dua et al; 2003, Baruah et al; 2005, Valecha et al; 2009).

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