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>
Answer:
Data Access Layer
Information Computer Technology
➟DAL in ICT
⎆ <u>Data Access La</u><u>y</u><u>e</u><u>r</u><u> </u><u>in Information Computer Technology.</u>
Answer:
A). Subjects who were given misleading information after viewing the slides were far less accurate in their memories for the kind of sign present than were subjects who were given no such information.
Explanation:
As per the given example, option A displays the results or consequences of the given study which researched the 'impacts of various types of information on human memory'. The results would reveal that 'subjects who were offered misleading information were less correct in their memories in comparison to the subjects who were not proffered with any such information' as the wrong or misinformation leads to form inaccurate or false memories in their mind which implies that 'memories can not be reliable'. Therefore, <u>option A</u> is the correct answer.
