Question

1. what type of data should be collected in order to test the hypothesis? wrong answer: the temperature the dependent variable is the results of the experiment. why is this wrong? __________ what is more correct? __________

Explanation:

The dependent variable is what is being measured as a result of the independent - variable manipulation. Just stating "the results of the experiment" is too vague. Temperature might be an independent variable or a control variable depending on the hypothesis, not necessarily the wrong data type in all cases, but if the hypothesis isn't about temperature - related effects, it's wrong. To test a hypothesis, relevant data related to the variables in the hypothesis should be collected. For example, if the hypothesis is about the effect of light on plant growth, data on plant height, number of leaves etc. (dependent variables related to growth) should be collected while controlling or varying light (independent variable).

Answer:

Why is this wrong? Just stating "the results of the experiment" as the dependent variable is too non - specific. Temperature may not be relevant to the hypothesis being tested.
What is more correct? Data that is directly related to the variables stated in the hypothesis. For example, if the hypothesis is about the effect of a chemical on enzyme activity, data on enzyme activity levels (dependent variable) while varying the amount of the chemical (independent variable) should be collected.