A social media app is conducting a study on the amount of time users spend on the app. They collect the following variables. Age Years: How old they are in years? Income: Monthly Income Location: What country do they live in? Device: Do they use an iPhone, Samsung, other? Service: Who provides their mobile phone service? For example: T-Mobile, At&t, Verizon, ect Hours: How many hours do they spend on the app per week. A) Think of 2 additional questions (a categorical and quantitative variable) the social media app should include in their survey that may relate to how many hours they spend on the app. Next to the variable write out the wording you suggest they use to ask this question. Categorical: Quantitative: B) Come up with a research question that the app-maker could test using the variables above and a Chi-squared Hypothesis Test of independence/association. Write the null and alternative hypothesis for your research question Variables you use from above: Research question to be tested: Но: На:

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A social media app is conducting a study on the amount of time users spend on the
app. They collect the following variables.
Age Years: How old they are in years?
Income: Monthly Income
Location: What country do they live in?
Device: Do they use an iPhone, Samsung, other?
Service: Who provides their mobile phone service? For example: T-Mobile, At&t,
Verizon, ect
Hours: How many hours do they spend on the app per week.
A) Think of 2 additional questions (a categorical and quantitative variable) the social
media app should include in their survey that may relate to how many hours they
spend on the app. Next to the variable write out the wording you suggest they use to
ask this question.
Categorical:
Quantitative:
B) Come up with a research question that the app-maker could test using the variables
above and a Chi-squared Hypothesis Test of independence/association. Write the null
and alternative hypothesis for your research question
Variables you use from above:
Research question to be tested:
Но:
На:
Transcribed Image Text:A social media app is conducting a study on the amount of time users spend on the app. They collect the following variables. Age Years: How old they are in years? Income: Monthly Income Location: What country do they live in? Device: Do they use an iPhone, Samsung, other? Service: Who provides their mobile phone service? For example: T-Mobile, At&t, Verizon, ect Hours: How many hours do they spend on the app per week. A) Think of 2 additional questions (a categorical and quantitative variable) the social media app should include in their survey that may relate to how many hours they spend on the app. Next to the variable write out the wording you suggest they use to ask this question. Categorical: Quantitative: B) Come up with a research question that the app-maker could test using the variables above and a Chi-squared Hypothesis Test of independence/association. Write the null and alternative hypothesis for your research question Variables you use from above: Research question to be tested: Но: На:
C) Which graph shows stronger evidence of a relationship with the number of hours
they spend on the app? Age or Income? Explain.
Scatterplot 1: Age versus App Hours
25
20
10
15
20
25
30
Age
Scatterplot 2: Income versus App Hours
Scatterplot
Income vs App Hours
25
20
00
40
60
80
100
20
Income in Thousands
D) A hypothesis test was used to determine if there is evidence of a linear relationship
between income and hours spent on the app. Does the output below suggest there is
statistically significant evidence of a linear relationship using a significance level of
0.01? Write the appropriate conclusion.
Art of Stat Output
Parameter Estimate Standard t
Error
P-
Statistic value
Intercept 18.82
3.653
5.15
0.0000
-0.3391 0.143
-2.37
0.0223
Slope
(Income)
App Hours
App Hours
Transcribed Image Text:C) Which graph shows stronger evidence of a relationship with the number of hours they spend on the app? Age or Income? Explain. Scatterplot 1: Age versus App Hours 25 20 10 15 20 25 30 Age Scatterplot 2: Income versus App Hours Scatterplot Income vs App Hours 25 20 00 40 60 80 100 20 Income in Thousands D) A hypothesis test was used to determine if there is evidence of a linear relationship between income and hours spent on the app. Does the output below suggest there is statistically significant evidence of a linear relationship using a significance level of 0.01? Write the appropriate conclusion. Art of Stat Output Parameter Estimate Standard t Error P- Statistic value Intercept 18.82 3.653 5.15 0.0000 -0.3391 0.143 -2.37 0.0223 Slope (Income) App Hours App Hours
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