This effect is called proactive interference.
Proactive interference (PI) is a type of explanation for why we forget or cannot recall information. The PI effect means that forgetting occurs because old memories interfere with our ability to form memories. An example of the PI effect is when you try to learn or memorize a new phone number, however, phone numbers that already exist in your memory interfere with your learning of the new phone number.
As an illustration, the accident occurred because H. did not get enough sleep the night before, which caused him to fall asleep behind the wheel.
<h3>What makes it an accident, and why?</h3>
A accident is an unintentional, typically undesirable event that wasn't primarily brought on by people. The word "accident" indicates that no one should be held responsible, although hazards that went unnoticed or neglected might have been to blame for the incident.
<h3>What is a safety accident?</h3>
Accident: an occurrence that causes harm or illness. incident: near miss: an incidence that did not result in injury or ill health but has the potential to do so (in this guidance, the term near miss will include dangerous occurrences)
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13: <span>Because of the treaty, the French could no longer pose a threat against the United States.
14: </span>- To learn about the territory <span>- Find out what plants, animals lived there
- Aspirations to exploit natural resources
- Make friendly contact with people living there (Native Americans)
- Find routes to the Pacific Ocean. </span>- explore the river and find a water route across the continent
<span>- Have a good relationship with Native Americans
</span><span>- Describe the landscape, plants, and animals they saw
</span>
15: <span>to increase the power of the Republican Party</span>
Answer:
confounding variable; lowered.
Explanation:
In the field of statistical analysis, a <u>confounding variable</u> is one that influences both the independent variable and the dependent variable. When an experimented is designed, the researcher wants to study the effect the independent variable has on the dependent variable. However, if there's a third variable that can influence them, it can cause a spurious correlation.
The psychologist wanted to test the effects using the new computer program (independent variable) had in helping students learn math (dependent variable). But when she divided the group in two, separating them by gender, she introduced a third variable (confounding variable) that wasn't accounted for when designing the experiment and that can influence either variable. <u>Because of this, the internal validity of the study has been </u><u>lowered</u><u>.</u>