A web page design firm has two designs for an online hardware store. To determine which is the more effective design, the firm uses one page with with only only male male visitors visitors and and a a second second page page with with only only female female visitors. visitors. For each visit, the firm records the the amount amount of time of time visiting visiting the site the site and the the number number of of items items viewed viewed. Complete parts (a) through (c) below. (a) What is the explanatory variable in this study? Is it qualitative or quantitative? A. The explanatory variable is the the amount amount of time of time visiting visiting the site the site. This explanatory variable is quantitative quantitative. B. The explanatory variable is the web page design. The explanatory variable is qualitative. C. The explanatory variable is the gender gender. This explanatory variable is qualitative. D. The explanatory variable is the the number number of of items items viewed viewed. This explanatory variable is quantitative quantitative. (b) What are the two response variables? For each response variable, state whether it is qualitative or quantitative. Select all that apply. A. One response variable is the web page design. This response variable is qualitative. B. One response variable is the gender gender. This response variable is qualitative. C. One response variable is the the amount amount of time of time visiting visiting the site the site. This response variable is quantitative quantitative. D. One response variable is the the number number of of items items viewed viewed. This response variable is quantitative quantitative. (c) Explain how confounding might be an issue with this study. Choose the correct answer below. A. Since the variables are not all quantitative or all qualitative, they may interact, causing the results to be misleading or incorrect. B. Since there is only one explanatory variable, and two response variables, the explanatory variable will not affect both response variables equally, resulting in misleading results. C. Since the designs are being tested with two different genders genders, preferences depending on the gender gender may affect the response variables for those groups. D. Since there are two response variables in this study, they may interact, causing the results to be misleading or incorrect.
A web page design firm has two designs for an online hardware store. To determine which is the more effective design, the firm uses one page
with
with
only
only
male
male
visitors
visitors
and
and
a
a
second
second
page
page
with
with
only
only
female
female
visitors.
visitors. For each visit, the firm records
the
the
amount
amount
of time
of time
visiting
visiting
the site
the site and
the
the
number
number
of
of
items
items
viewed
viewed. Complete parts (a) through (c) below.
(a) What is the explanatory variable in this study? Is it qualitative or quantitative?
A.
The explanatory variable is
the
the
amount
amount
of time
of time
visiting
visiting
the site
the site. This explanatory variable is
quantitative
quantitative.
B.
The explanatory variable is the web page design. The explanatory variable is qualitative.
C.
The explanatory variable is the
gender
gender. This explanatory variable is qualitative.
D.
The explanatory variable is
the
the
number
number
of
of
items
items
viewed
viewed. This explanatory variable is
quantitative
quantitative.
(b) What are the two response variables? For each response variable, state whether it is qualitative or quantitative. Select all that apply.
A.
One response variable is the web page design. This response variable is qualitative.
B.
One response variable is the
gender
gender. This response variable is qualitative.
C.
One response variable is
the
the
amount
amount
of time
of time
visiting
visiting
the site
the site. This response variable is
quantitative
quantitative.
D.
One response variable is
the
the
number
number
of
of
items
items
viewed
viewed. This response variable is
quantitative
quantitative.
(c) Explain how confounding might be an issue with this study. Choose the correct answer below.
A.
Since the variables are not all quantitative or all qualitative, they may interact, causing the results to be misleading or incorrect.
B.
Since there is only one explanatory variable, and two response variables, the explanatory variable will not affect both response variables equally, resulting in misleading results.
C.
Since the designs are being tested with two different
genders
genders, preferences depending on the
gender
gender may affect the response variables for those groups.
D.
Since there are two response variables in this study, they may interact, causing the results to be misleading or incorrect.
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