This continues from the previous lecture on the subject


Lab Experiment

Example

You design an experiment to assess the hypothesis that the proximity of a snakc food affects individuals food preferences. Participants are bought inot a kitchen like setting, seated at a table, told to help themselves to the food, and left alone for 5 minutes. For half of the participants there is a bowl of apple slices on the table and a bowl of popcorn farther away on the counter. For the other half, the popcorn is on the table and the apples on the counter.

Question

What would be an appropriate control group?

The essence of this question is that the important factor is that the food is the same distance away from the participants, regardless of where the foods are. The important factor is that the food is equally accessible. However, we dont want to add an extra variable, so we dont want to add a third food option.


Gluten Experiment

Recall from the previous gluten experiment our hypothesis and prediction:

Hypothesis Flour used to make gluten-free breads lack molecules that can form structures similar to gluten proteins

Prediction Addition of molecules that can form structures similar too gluten will improve the quality of gluten-free breads

An appropriate experiment to test this idea would be to have four different breads: gluten-free bread with no additions, gluten-free bread with the addition of molecule A, gluten-free bread with the addition of molecule B, and regular wheat bread. The independent variable is the type of bread, and the dependent variable is the quality of the bread.

Question

What kind of data and tests would you conduct to evaluate the effectiveness of a gluten alternative?

Results

Wheat bread and gluten-free bread with HPMC have larger specific loaf volumes than gluten-free control bread.

Gluten-free bread with xanthan gum has a smaller specific loaf volume than the gluten-free control bread.

Key Point

Statistically significant differences may not be meaningful differences (i.e. will this difference in specific loaf volumes be noticeable to consumers?)


Correlation Vs Causation

This is a classic problem in science. Just because two things are correlated does not mean that one causes the other. For example, there is a correlation between ice cream sales and drowning incidents. However, this does not mean that ice cream sales cause drowning incidents. The real cause is the hot weather, which leads to both increased ice cream sales and increased swimming activities.

Correlation is a statistical measure that describes the extent to which two variables change together. A positive correlation means that as one variable increases, the other also increases. A negative correlation means that as one variable increases, the other decreases.

Causation means that one event is the result of the occurrence of the other event; there is a cause-and-effect relationship between the two events.