Dr. jones is interested in studying how indoor lighting can influence people's moods during the winter. a sample of 100 households is selected. fifty of the homes are randomly assigned to the bright-light condition where dr. jones replaces all the lights with 100-watt bulbs. in the other 50 houses, all the lights are changed to 60-watt bulbs. after two months, dr. jones measures the level of depression for the people living in the houses. assuming that the study uses people from different age groups, participant age would be a(n) variable in the experiment. a. extraneousb. dependentc. confoundingd. independent

Dependent variable

Explanation:

A variable can be anything that could be measured by the researcher or experimenter. A variable could be time, money, feelings, volume, Event, idea, and objects. Variables are of many types. But here we discuss only the dependent variable.

Independent variable

Dependent variable: Dependent variables are those variables that can not be changed by a researcher or an experimenter. These variables are depended on the other factors. The independent variable causes the changes independent variable but in opposite dependent variable could not cause a change in the independent variable.  

50% i think

explanation:

hello,

question- above

answer- your correct answer is actually college a. because college a has a good price loan and graduation rate. you have to compare it with other values also , that how many students graduated and how many from them have repaid the loan ( default loan rate ).

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