Two scientists work together on an experiment, but they have different hypotheses. when the scientists look at the experimental results, they interpret the data in different ways and come to different conclusions. which of the following does this situation best illustrate? a. scientific consensus b. peer review c. selection bias d. confirmation bias

This is an example of confirmation bias.

The term confirmation bias in experiment refer to a situation in which the experimental leans more towards evidences that confirm his/her hypothesis rather than evidences that disprove it.

This type of bias creates a sort of self fulfilling prophecy. The conclusions of the research merely echoes his/her believes and contrary evidences are not given proper consideration.

If two scientists carry out the same experiment having different hypothesis and arrive at different conclusions from the same experimental results; then each of them merely confirmed his/her beliefs without considering the experimental results fairly.

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definition

                    entropy is a measure of the randomness or the extent of disorder of a chemical process.

                      enthalpy is a measure of the heat change of a reaction occurring at a constant pressure.

measurement units:

                        entropy is measured in joule per kelvin (jk⁻¹)   whereas enthalpy is measured in joule per mole (jmol⁻¹)

requirements:

                            entropy has no requirements or limits, and its change is measured by the division between the heat change of the chemical process and the temperature.

                              in contrast, enthalpy can only be related to the heat change of the reaction under standard conditions.