Ensuring Healthy Births and Promoting Proper Prenatal Care.

 

Select the other of the two topics about which you have been writing. Assume it is your DHA project topic:

Topics (Ensuring Healthy Births and Promoting Proper Prenatal Care.)

What would be your dependent variable(s)?
What would be your independent variable (s)?
What is the F-test? How would it apply to this topic?
What is a standard deviation? How would it apply to this project?
Construct your project question to apply to a regression analysis
Follow-up: Does the project question apply to a regression analysis? Have appropriate variables been identified?

 

Sample Solution

The dependent variable in this research project is the health of pregnant women and their babies. This would be measured by indicators such as preterm births, maternal mortality rates, low birth weight, infant mortality rates, and other measures of maternal and fetal health outcomes. These outcomes would serve as a measure of how successful different prenatal care initiatives are at improving pregnancy outcomes for mothers and their newborns.

The independent variables in this research project would include the various prenatal care initiatives that are being implemented or proposed to help ensure healthy births for mothers and their babies. These could include things like access to quality healthcare services including obstetrician/gynecologists (ob-gyns) and certified nurse midwives; education on proper nutrition during pregnancy; improved access to family planning services; increased availability of information on safe labor practices; expanded coverage for Supplemental Nutrition Assistance Program benefits (SNAP); implementation of smoking cessation programs; adoption of universal screening protocols before childbirth; expansion of Medicaid coverage for pregnant women, etc.

An F-test is a statistical test used to compare two sets of data by calculating the ratio between two variances (Fisher 1921). It can be used in this research project to determine whether one set of prenatal care initiatives has an effect on improving healthy pregnancies compared with another set or no interventions at all. This can be conducted using a process called analysis of variance (ANOVA), which will measure the difference between groups when there is more than one independent variable involved in the study(Serlin 2018). By measuring how effective different prenatal care strategies are at reducing adverse birth outcomes we can gain valuable insight into what measures should be taken – both locally and nationally – to ensure healthier pregnancies for everyone.

A standard deviation is a statistical measure which tells us how much variation exists from the mean values within a data set (Egan 2020). In this study it can be used as an indicator for how successful different prenatal care initiatives were at reducing adverse birth outcomes among participants. For example, if we find that there is a lower standard deviation associated with a particular intervention then we may hypothesize that it had greater success than other interventions due its ability to reduce risks more consistently across all participants.

ntentionally kill innocent people in wars, supported by Vittola’s first proposition. This is widely accepted as ‘all people have a right not to be killed’ and if a soldier does, they have violated that right and lost their right. This is further supported by “non-combatant immunity” (Frowe (2011), Page 151), which leads to the question of combatant qualification mentioned later in the essay. This is corroborated by the bombing of Nagasaki and Hiroshima, ending the Second World War, where millions were intently killed, just to secure the aim of war. However, sometimes civilians are accidentally killed through wars to achieve their goal of peace and security. This is supported by Vittola, who implies proportionality again to justify action: ‘care must be taken where evil doesn’t outweigh the possible benefits (Begby et al (2006b), Page 325).’ This is further supported by Frowe who explains it is lawful to unintentionally kill, whenever the combatant has full knowledge of his actions and seeks to complete his aim, but it would come at a cost. However, this does not hide the fact the unintended still killed innocent people, showing immorality in their actions. Thus, it depends again on proportionality as Thomson argues (Frowe (2011), Page 141).
This leads to question of what qualifies to be a combatant, and whether it is lawful to kill each other as combatants. Combatants are people who are involved directly or indirectly with the war and it is lawful to kill ‘to shelter the innocent from harm…punish evildoers (Begby et al (2006b), Page 290).However, as mentioned above civilian cannot be harmed, showing combatants as the only legitimate targets, another condition of jus in bello, as ‘we may not use the sword against those who have not harmed us (Begby et al (2006b), Page 314).’ In addition, Frowe suggested combatants must be identified as combatants, to avoid the presence of guerrilla warfare which can end up in a higher death count, for example, the Vietnam War. Moreover, he argued they must be part of the army, bear arms and apply to the rules of jus in bello. (Frowe (2011), Page 101-3). This suggests Frowe seeks a fair, just war between two participants avoiding non-combatant deaths, but wouldn’t this lead to higher death rate for combatants, as both sides have relatively equal chance to win since both use similar tactics? Nevertheless, arguably Frowe will argue that combatant can lawfully kill each other, showing this is just, which is also supported by Vittola, who states: ‘it is lawful to draw the sword and use it against malefactors (Begby et al (2006b), Page 309).’
In addition, Vittola expresses the extent of military tactics used, but never reaches a conclusion whether it’s lawful or not to proceed these actions, as he constantly found a middle ground, where it can be lawful to do such things but never always (Begby et al (2006b), Page 326-31). This is supported by

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