The Hawthorne effect is also known as "the observer effect." Subjects of a study will alter their behavior if they are aware they are being observed. Because the researcher was watching the experiment, it is possible that the subject behaved differently than he would have if he was not being watched.

The population is the entire group of people that the researcher is interested in, and the sample is the (often much smaller) group of people from that the researcher collects information from. Sampling is the process by which the sample group is chosen from the population.

Garth's thinking represents an illusory correlation. Although Garth believes that eating yogurt will help him to score higher on his important tests, there is no actual relationship between these two variables.

In an experiment, the independent variable is the predicted cause while the dependent variable is the predicted effect. The independent variable can be manipulated by experimentors to elicit a change in the dependent variable. The dependent variable cannot be directly manipulated.

For example, in a experiment that studies the effect of soda consumption on AP exam scores, the independent variable would be the amount of soda the subject drink (easily controlled by the experimentors) and the dependent variable would be AP exam scores (the unpredictable variable being tested).

Brenda is experiencing the placebo effect, in that she is reporting a positive effect (more energy) when she was given a blank pill. Brenda mentally prepared herself for the expected effects of the pill, and was thus able to mimic the expected outcome despite no actual biological change.

Correlations range from to , with representing a perfect negative correlation and representing a perfect positive correlation.

Statistically speaking, a correlation value of indicates that if one variable is increasing, then the other variable is decreasing. Similarly, if one variable is likely to be present, then the other variable is unlikely to be present. There is a negative correlation between wearing a seatbelt and injury during a car accident.

Statistically speaking, a correlation value of indicates that if one variable is increasing, then the other variable is also increasing. Similarly, if one variable is likely to be present, then the other variable is also likely to be present. There is a positive correlation between obesity and type II diabetes.

Statistically speaking, a correlation value of indicates no relationship between the two variables.

Of the given answer choices, a correlation value of gives the strongest evidence of correlation between the variables, even if the correlation is negative.

The dependent variable is what the researchers measure in the experiment. In this case, the dependent variable is reactions of the participants to the drug or placebo (the independent variable). Since the reaction depends on the drug and is not within the direct control of the researchers it is the dependent variable.

Falsifiability is the principle that states that a research hypothesis must be able to be disproven. This does not mean that the hypothesis needs to be disproven in the study; however, hypothesis should be able to be disproven. If a hypothesis is correct under all conditions, then there is no way to scientifically test its validity.

Jessica's z-score indicates how many standard deviations below or above the mean Jessica's test score was. Jessica's test score of 70 was less than the mean (95), so we know that the the answer must be negative.

We know that the standard deviation was , so

Jessica's z-score is

Functionalism, while it never became a formalized school of psychological thought, had an important impact on the field. Functionalism considered thinking and behavior in terms of functional adaptation to the subject's environment. It is fallacious to say that a school of thought must have been formalized and maintained in order to have influence in a field of study.