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what is the purpose of a t-test, what are the null and alternative hypotheses, what are the two types of t-tests, and how are results interpreted using p-values?
a t-test compares the means of two groups. The null hypothesis states no difference the alternative states a difference.
Independent samples t-test compares two separate groups; paired-samples t-test compares two related groups.
what are the specific ethical concerns in marketing experiments?
no physical or mental risk
right to withdraw
knowledge of data use
confidentiality or anonymity
debriefing.
what factors are considered when selecting test markets?
population size
demographic composition
market situation
media options
distribution options
what can be tested in test markets?
new products
brand extensions
consumer promotions
pricing
advertising and communications
distribution
what are the main challenges of test markets?
cost
time
controlling extraneous variables
competitive reactions
measuring results
novelty vs. normal behavior
test length
what are the three types of test markets?
standard
controlled
simulated (virtual).
what characterizes quasi-experimental designs?
no randomization and limited control over the environment.
what characterizes true experimental designs?
random assignment and inclusion of a control group.
what characterizes pre-experimental designs?
no randomization
little control over extraneous variables
weak internal validity
what are the three criteria to establish causality?
temporal precedence
concomitant variation
non-spurious correlation.
what does experimental notation use R, X, and O to represent?
R = random assignment
X = treatment
O = observation/measurement.
what are the main threats to internal validity?
history
maturation
testing effect
instrumentation effect
selection effect
mortality (attrition).
variables other than the independent variable that may affect the dependent variable.
extraneous variables (confounds)
how well a study measures what it is supposed to measure.
validity
what is the difference between internal and external validity?
internal validity is whether the treatment alone caused the effect
external validity is whether results can be generalized
the deliberate change in the independent variable.
manipulation in an experiment
what is the difference between a treatment group and a control group?
the treatment group receives the manipulation
the control group does not
what is the difference between an independent and dependent variable?
the independent variable is the cause that is manipulated
the dependent variable is the effect that is measured
what are the basic components of experimental design?
subjects
independent variable
dependent variable
treatment group
control group
manipulation
validity