1. A(n) ____________________________________ is a unit that measures activity in various regions of the brain.

2. A company wanted to know if consumers had positive or negative associations with its branding elements. A(n) ________________________ can help measure consumers' automatic responses to its logo. 3. _________________________________ can be used to help develop scales for customer satisfaction surveys. 4. A firm was interested in finding out if there was high activity in the hippocampus, the region of the brain associated with memory processes, so it employed a study using ___________________________. 5. A(n) _____________________________ can be entered into a model to help a researcher determine whether the relationship between two variables in a statistical analysis reflect what is happening in the real world, or whether it is a "fake" relationship. 6. Johnson & Johnson wanted to know the effect of economic indicators, the number of children in a household, whether a town's water supply was fluorinated, and a consumer's age predicted sales for its Listerine brand. The company should analyze this data using ____________________________________ . 7. The statistic best suited for analyzing the relationship between someone's biological sex and their choice of popcorn or potato chips as a snack would be a(n) ___________________________. 8. A(n) ____________________________________ predicts that there is no relationship between an independent and dependent variable.

A.	Chi-square
B.	Control variable
C.	Cross-tabulation
D.	Degrees of freedom
E.	Eye tracking
F.	Factor analysis
G.	Functional Magnetic Resonance Imaging
H.	Implicit association test
I.	Indirect effect
J.	Interaction
K.	Item
L.	Level of significance
M.	Multiple regression
N.	Nonparametric test
O.	Null hypothesis
P.	One-tailed test
Q.	Parametric test
R.	Research hypothesis
S.	Social desirability bias
T.	Spurious relationship
U.	T-test
V.	Two-tailed test
W.	Type 1 error
X.	Type 2 error
Y.	Voxel