# data[].attributes.body
From video 1.2, the definition of Categorical variable- “takes on values that are category names or group labels.”

In the comments, describe in your own words “Categorical variable.”

# data[].attributes.body
From video 1.2, the definition of Quantitative variable- “takes on numerical values for a measured or counted quantity.”

In the comments, describe in your own words “Quantitative variable.”

# data[].attributes.body
From video 1.2, the definition of Categorical variable- “takes on values that are category names or group labels.”

In the comments, describe in your own words “Categorical variable.”

# data[].attributes.body
From video 1.2, the definition of Quantitative variable- “takes on numerical values for a measured or counted quantity.”

In the comments, describe in your own words “Quantitative variable.”

# data[].attributes.body
From video 1.2, the definition of Quantitative variable- “takes on numerical values for a measured or counted quantity.”

In the comments, describe in your own words “Quantitative variable.”

# data[].attributes.body
From video 1.2, the definition of Categorical variable- “takes on values that are category names or group labels.”

In the comments, describe in your own words “Categorical variable.”

# data[].attributes.body
how does the 3rd graph work?

# data[].attributes.body
From video 1.2, which statement(s) are True/False:

A.) “Categorical data” are the values of categorical variable in a data set.

B.) All Variables that take numerical values are quantitative.

# data[].attributes.body
From video 1.2, which statement(s) are True/False:

A.) “Quantitative Data”= Values of a quantitative variable in a data set.

B.) It is not possible to make a quantitative variable categorical by grouping values.

# data[].attributes.body
From video 1.2, which statement(s) are True/False:

A.) “Categorical data” are the values of categorical variable in a data set.

B.) All Variables that take numerical values are quantitative.

# data[].attributes.body
From video 1.2, which statement(s) are True/False:

A.) “Quantitative Data”= Values of a quantitative variable in a data set.

B.) It is not possible to make a quantitative variable categorical by grouping values.

# data[].attributes.body
From video 1.2, which statement(s) are True/False:

A.) “Quantitative Data”= Values of a quantitative variable in a data set.

B.) It is not possible to make a quantitative variable categorical by grouping values.

# data[].attributes.body
From video 1.2, which statement(s) are True/False:

A.) “Categorical data” are the values of categorical variable in a data set.

B.) All Variables that take numerical values are quantitative.

# data[].attributes.body
2 & 3 match because they both go to 5 on the x axis

# data[].attributes.body
the frequency matched the y axis

# data[].attributes.body
this is random but I don't feel ready for ap stats

# data[].attributes.body
List the Categorical data in the comments.

# data[].attributes.body
List the Quantitative data in the comments.

# data[].attributes.body
List the Categorical data in the comments.

# data[].attributes.body
List the Quantitative data in the comments.

# data[].attributes.body
List the Quantitative data in the comments.

# data[].attributes.body
List the Categorical data in the comments.

# data[].attributes.headline
I think 1 and 4 match because there are 7 categories for both and majority of the pie chart is green and on graph #4 majority of the answers is one category

# data[].attributes.subject
I think 1 and 4 match because there are 7 categories for both and majority of the pie chart is green and on graph #4 majority of the answers is one category

# data[].attributes.headline
You can use the labels on the graph to see that it matches the values on the table

# data[].attributes.subject
You can use the labels on the graph to see that it matches the values on the table

# data[].attributes.body
what kind of graphs will be looking at and how do they work

# data[].attributes.body
compare the graph and

# data[].attributes.headline
do we still gotta do the ap test at the end of the year

# data[].attributes.subject
do we still gotta do the ap test at the end of the year

# data[].attributes.headline
The frequency on the table matches the frequency on the table

# data[].attributes.subject
The frequency on the table matches the frequency on the table

# data[].attributes.headline
i forgot how to read a boxplot graph lol

# data[].attributes.subject
i forgot how to read a boxplot graph lol