Which Is Stronger—A Gorilla Or A Chimp? Everybody loves going on field trips to
ID: 3526468 • Letter: W
Question
Which Is Stronger—A Gorilla Or A Chimp?
Everybody loves going on field trips to the zoo. But field trips to the zoo provide more than just a day off from the classroom for kids. It provides an opportunity to learn about science!
Mrs. Young, a fifth grade teacher in our district, was especially excited to bring her class to the zoo this year because she knew that they were going to get to see a zoologist test the strength of the different primates. As Mrs. Young observed, “Not only is it interesting for the students to get to see all the different animals, but they are going to be learning about how strong the different animals are, as well.”
The main research goal for the zoologist was to compare the strength of chimpanzees and gorillas with the expectation that there would be a difference. First, she trained 4 chimps and 4 gorillas to lift up different sized, light-weight objects by rewarding them with food. She then tested the animals’ strength by giving them heavier objects that ranged from 25 to 100 pounds. During this testing, every time the primates lifted the weights for the food, the zoologist increased the weight.
“The children and I were surprised to learn that both the chimps and the gorillas could lift the 100-pound weight. We thought that one group would be stronger than the other, but that wasn’t the case,” Young said.
The zoologist conducted this experiment again, and found the same results. Therefore, she was able to make the conclusion that chimps and gorillas do not differ in strength.
Which of the following are true (there may be more than 1):
- Poor or missing comparison group
- No Random assignment
- DV could be more sensitive, accurate, or precise
- DV is not scored objectively
- DV is not valid
- subject/participant bias
- mortality or attrition
- small sample size
- poor sample selection
- experimenter bias
- premature generalization of results
- confuse correlation with causation
Explanation / Answer
The are true for this study:
In this experiment the experimenter has not taken into account the effect of training during the research. The researcher should have introduced a control group that would been given a different treatment as absence of training session. This would have eliminated the confounding variables and given a reliable and valid results. The other problem with experiment is that sample size is too small.
- Poor or missing comparison group.
- Small sample size.
- Premature generalization of results.
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