Mr. Toowise was having a difficult time getting his students to get good grades on quizzes. He was trying to think of a way that he could positively reward his students. He read an article that said that lab rats that were rewarded with sunflower seeds ran through a maze faster than rats that were not rewarded with sunflower seeds. Mr. Toowise stated, "I think that the more sunflower seeds I promise my students, the better they will do on a quiz." He divided the class into three groups. Group one was promised zero sunflower seeds if they did well on the next quiz. Group two was promised 25 sunflower seeds if they did well on the next quiz. Group three was promised 50 sunflower seeds if they did well on the next qutz. Group one received an average of 70% on the quiz. Group two received an average of 73% on the quiz. Group three received an average of 71% on the quiz. He looked at his results and concluded that the amount of sunflowers promised to students does not effect their quiz scores. Using the information provided in the scenario above, fill in the data table below
1. Hypothesis:
2. Dependent Variable:
3. Independent Variable:
4. Constant Control Group
5. Experimental Group:

Answer and Explanation:

1. Hypothesis: The more sunflower seeds the students get, the better they will do on a quiz.

2. Dependent Variable: Responding variable refers to the dependant variable, which response depends on any change in the independent variable. A change in the dependent variable might be proportional or inversely proportional to the change in the manipulated variable. In the exposed example, the dependent variable is the response of each group to sunflowers seeds expressed as their grades on quizzes.

3. Independent Variable: number of sunflower seeds. Manipulated variable refers to all the variables in an experiment that provoke a response in another variable. They are also known as independent variables. The researcher can change these variables to see what changes it implies in an object, process, trait, or anything that depends on them. In the exposed example, the researcher manipulates the number of sunflower seeds promised to each group.

4. Constant Control Group: Group 1, which does not receive any sunflower seeds. The election of a control group is essential in an experiment. Its principal purpose is to allow the discrimination of the results obtained by the treatment in the study, in this case, the provision of sunflower seeds, from the results that might be a consequence of other factors. The control group must be selected from the same population of the treatment group. All groups must be similar in every variable that might influence the results, except for the study treatment

5. Experimental Group: Groups 2 and 3, that received different amounts of seeds.

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