Answer:
Part A:
The cofounding variable is a factor that could cause a result on the experiment. This would be the people taking extra food.
Independent variable would be being asked to sign in or not and take free food, because independent variable is a variable that is changed or manipulated and in this case the people were split in half and the hypothesis is that the people who didn't sign in would take more food.
Operational definitions are important when conducting research because it defines all the variables in the experiment, so it can be replicated. The operational def for the dependent variable would be "Doing the right thing even though you aren't being watched"
Part B:
The data does not support the hypothesis because even the people who signed in could've taken extra food when the dean wasn't looking. The findings cannot be generalized to all students because some students could have been taught better and can differentiate between right and wrong. So the people who were not signed in could've just taken one burger and drink, and the people who were signed in might feel obligated to take more than one burger because they had signed in and didn't just come without signing in.
The study is not a naturalistic observation because the observer did not look at the people who took the food and which side took more food.
All of the aforementioned characterize women in a country with a low Gender Empowerment Measure ranking except: A. many are agricultural workers.
<h3>What is
Gender Empowerment Measure?</h3>
Gender Empowerment Measure (GEM) can be defined as an index that is designed and developed to measure the level of inequalities between opportunities that are available to both men and women in a country.
In this context, we can infer and logically deduce that all of the aforementioned characterize women in a country with a low Gender Empowerment Measure ranking except stating that many are agricultural workers.
Read more on Gender Empowerment Measure here: brainly.com/question/22907606
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The answer is A, just by reading the answer choices you can tell that b, is for a slide in a slide show.
Argumentos en contra de la intervención del gobierno.
Los gobiernos que pueden tomar decisiones equivocadas, influenciados por grupos de presión política, gastan en proyectos ineficientes que conducen a un resultado ineficiente.
Libertad personal. La intervención del gobierno está quitando la decisión de las personas sobre cómo gastar y actuar. La intervención económica quita cierta libertad personal.
El mercado es más eficiente para decidir cómo y cuándo producir.
Argumentos para la intervención del gobierno para mejorar la igualdad
En un mercado libre, tiende a haber desigualdad en ingresos, riqueza y oportunidades. La caridad privada tiende a ser parcial. La intervención del gobierno es necesaria para redistribuir los ingresos dentro de la sociedad.
es su opinión, así que debe elegir si el gobierno debe o no intervenir y luego
No hablo español, así que si hay algún error en el español, lo siento, hablo inglés, uso el traductor de Google
The Jevons paradox occurs when technological progress or government policy increases the efficiency with which a resource is used, but the rate of consumption of that resource rises due to increasing demand.
