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WGU Academy Statistics Module 2 Quiz And The Answers all GRADED A+ $10.49   Add to cart

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WGU Academy Statistics Module 2 Quiz And The Answers all GRADED A+

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WGU Academy Statistics Module 2 Quiz And The Answers all GRADED A+ Remember that a categorical variable is one that can be categorized, or put into types. A quantitative variable is one that can be measured. Of the following variables, which ones are categorical? Gender, Types of Bears, Locations...

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  • August 22, 2024
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  • 2024/2025
  • Exam (elaborations)
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WGU Academy Statistics Module 2 Quiz
And The Answers
Remember that a categorical variable is one that can be categorized, or put into types.
A quantitative variable is one that can be measured. Of the following variables, which
ones are categorical?
Gender, Types of Bears, Locations, Sunburn Types
Using the following variables, determine the role-type classification of each set of




A
variables.
• Gender and Blood Pressure




VI
• Minutes of Music Listened to and Age
• Types of Bears and Locations
• Hours of Sunshine and Sunburn Types




TU
-Gender and Blood Pressure C,Q
-Minutes of Music Listened To and Age Q,Q
-Types of Bears and Locations C,C
-Hours of Sunshine and Sunburn Types Q,C
IS
Here are boxplots of SSHA scores, by gender. Exploring the relationship between a
categorical explanatory variable and a quantitative response variable amounts to
comparing the distributions of the quantitative response for each category of the
OM

explanatory variable. In particular, we look at how the distribution of the response
variable differs between the values of the explanatory variable. With this in mind,
answer the following series of questions to summarize the results and interpret them.

Who has the higher scores on SSHA, in general?
NA


Female
JP




Which gender has a larger range of SSHA scores?
Males

, What is the approximate median SSHA score for each gender?
Females = 153, Males =114




Using the boxplot of SSHA scores by gender, summarize the results and interpret them.
By examining the side-by-side boxplots and the numerical summaries, we see that in
general Choose... females males Choose... perform better on the SSHA than




A
Choose... females males Choose.... The median SSHA score of females is Choose...
the same higher than lower than Choose... the median score for males. On the other




VI
hand, the Choose... females' males' Choose... scores display more variability, in terms
of the full range of scores. Based on these results, it seems that there is a Choose...
SSHA gender Choose... effect on Choose... gender SSHA Choose... score.




TU
1: Female
2:Males
3:Higher Than
4:Males'
IS
5: Gender
6:SSHA
OM

In order to convert the counts to percentages within (or restricted to) each category of
NA


the explanatory variable separately, look at each category separately, focusing on the
total of each category.

Which numbers would be used to convert to a percentage for Female, About Right?
JP




560/760




Which numbers would be used to convert to a percentage for Male, Not Enough?
73/440

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