Answer:
Lighting significantly affects performance
Explanation:
In this study, Ellen took two groups and applied the same IQ test to both of them. The only variable that changed between the groups was the level of lighting in the room. The first group was placed in a room with very bright lights and the second group was placed in a room with more normal lighting.
Individuals in the first group did better in the IQ test and she found that the difference between the two scores was statistically significant.
We say that a result is <u>"statistically significant" when it is not likely to occur randomly but rather is likely to be attributable to a specific cause.</u>
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So we can say that <u>the better performance in the first group tests were not likely to occur randomly but it can be attributable to a specific cause. </u>
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<u>Since the only variable that was different between the groups was the lightning, we can conclude that lighting significantly affects performance. </u>
B, D, E, and F are your answers!
Answer:
Another aspect of the colonial era that made the Native Americans vulnerable was the slave trade. As a result of the wars between the European ...
Explanation:
Through a series of rights including the constitution of the United States, state constitutions, treaty, and customary international law.
Answer:
cross-sectional study
Explanation:
A type of study in which data is gathered at one time from groups of participants who represent different age groups is an example of a cross-sectional study. A cross-sectional study is a type of study design that involves subjects who vary in the variable of interest such as age but have a common characteristics and observations are made at a single point in time.
In the scenario from the question, the variable of interest is most likely the effect of varying age groups on personal health. The variable of interest, age group varies but the population has a common characteristic which is that they are Americans and the study is done at a particular time and not spread out as in cohort studies. This is an example of a cross-sectional study.