Answer:
a) The dependent variable is defined as the variable that is being tested. The dependent variable here is the percentage of children who collected extra candy.
b) The data does not support the hypothesis 1 of the psychologist which states that the children would take more candy when they were alone. In the graph, percentage of children that took extra candy was higher when they were in group than when they were alone.
The data supports the hypothesis 2, which states that the children would take more candy when they were masked. From the graph, the percentage of children who took extra candy was higher when they were masked than when when they were unmasked.
c) The psychologist cannot generalize her findings to all children because she didn't use a random sampling procedure and she used children only from her neighborhood which doesn't represent the general population of children.
d) This study is not a naturalistic behaviour because the psychologist is dealing with subjects. She may also choose to manipulate the variables. Therefore we cannot call this study a naturalistic behaviour.
e) Modeling: This may play a role in the children's behaviour because the children may try to imitate what others did. The children may take extra candy because they saw others collecting extra candy.
Deindividuation: Here, the children's behaviour may be influenced by a feeling of anonymity. The children may take extra candy because they feel anonymous. Deinvuduated children feel anonymous due a feeling of loss of identity.
This explains why the percentage of chidren who took extra candy when in group was higher than that of the children who were alone.
Note: The graph is attached
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.
Answer:
c
Explanation:
hope this helps but it might be wrong
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