d. The sample means shown in the table are obviously different. Explain why the researchers should not use these means alone to test the hypothesis, part c. e. The researchers conducted an ANOVA on the data and reported the following results: F = 3.60, p-value = .03. Carry out the test, part c. Use a = .05 to draw your conclusion. %3D f. What assumptions are required for the inferences derived from the test to be valid?

MATLAB: An Introduction with Applications
6th Edition
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Chapter1: Starting With Matlab
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d, e, and f

a. Identify the type of experimental design utilized by the
researchers.
b. Identify the experimental units, dependent variable,
and treatments for the design.
c. Set up the null hypothesis for a test to compare the
treatment means.
d. The sample means shown in the table are obviously
different. Explain why the researchers should not use
these means alone to test the hypothesis, part c.
e. The researchers conducted an ANOVA on the data and
reported the following results: F = 3.60, p-value = .03.
Carry out the test, part c. Use a = .05 to draw your
conclusion.
f. What assumptions are required for the inferences
derived from the test to be valid?
Transcribed Image Text:a. Identify the type of experimental design utilized by the researchers. b. Identify the experimental units, dependent variable, and treatments for the design. c. Set up the null hypothesis for a test to compare the treatment means. d. The sample means shown in the table are obviously different. Explain why the researchers should not use these means alone to test the hypothesis, part c. e. The researchers conducted an ANOVA on the data and reported the following results: F = 3.60, p-value = .03. Carry out the test, part c. Use a = .05 to draw your conclusion. f. What assumptions are required for the inferences derived from the test to be valid?
Do the media influence your attitude toward tanning?
Dermatologists' primary recommendation to prevent skin
cancer is minimal exposure to the sun. Yet, models used
in product advertisements are typically well tanned. Do
such advertisements influence a consumer's attitude to-
ward tanning? University of California and California State
University researchers designed an experiment to investi-
gate this phenomenon and published their results in Basic
and Applied Social Psychology (May 2010). College student
participants were randomly assigned to one of three condi-
tions: (1) view product advertisements featuring models
with a tan, (2) view product advertisements featuring mod-
els without a tan, or (3) view products advertised with no
models (control group). The objective was to determine
whether the mean attitude toward tanning differs across the
three conditions. A tanning attitude index (measured on a
scale of 0 to 5 points) was recorded for each participant. The
results are summarized in the accompanying table.
Models
Tanned
Models
with No
Tan
No
Models
Sample Size
Mean
Standard Deviation
56
56
56
2.40
.85
2.50
.82
2.11
.73
Transcribed Image Text:Do the media influence your attitude toward tanning? Dermatologists' primary recommendation to prevent skin cancer is minimal exposure to the sun. Yet, models used in product advertisements are typically well tanned. Do such advertisements influence a consumer's attitude to- ward tanning? University of California and California State University researchers designed an experiment to investi- gate this phenomenon and published their results in Basic and Applied Social Psychology (May 2010). College student participants were randomly assigned to one of three condi- tions: (1) view product advertisements featuring models with a tan, (2) view product advertisements featuring mod- els without a tan, or (3) view products advertised with no models (control group). The objective was to determine whether the mean attitude toward tanning differs across the three conditions. A tanning attitude index (measured on a scale of 0 to 5 points) was recorded for each participant. The results are summarized in the accompanying table. Models Tanned Models with No Tan No Models Sample Size Mean Standard Deviation 56 56 56 2.40 .85 2.50 .82 2.11 .73
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