Question

watch video: https://www.youtube.com/watch?v=8gbjzuhzui0
univariate variable data covers one type of data. ex: number of rabbits.
bivariate data shows a relationship between two sets of data. ex: hair color and eye color
there are two types of data we will discuss quantitative and categorical.
___________ data is data expressed as a number. ex: weight of a rabbit-10lbs.
___________ data is data divided up into groups. ex: color, race, age group.
___________ table organizes data about two categorical variables.
this video discuss several types of frequencies. relative frequency is the ratio of the number of times an event occurs to the number of occasions on which it might occur___________ frequency is the joining of one variable from the row and one variable from the column.
___________ frequency is the ratio of the sum of the joint relative frequency in a row or column and the total number of data values.

Explanation:

1. For the first blank: The description "data expressed as a number" matches the definition of quantitative data (as given earlier in the text: "There are two types of data we will discuss quantitative and categorical").
2. For the second blank: "data divided up into groups" matches the definition of categorical data (from the same text introduction).
3. For the third blank: A table that organizes data about two categorical variables is a two - way table (also known as a contingency table), but based on the context of data types and frequencies related to categorical variables, the term "two - way" or "contingency" fits, but more precisely from the context of bivariate categorical data organization, it's a two - way table. However, looking at the frequency terms later, the first frequency - related blank: "the joining of one variable from the row and one variable from the column" is the definition of joint frequency. The second frequency - related blank: "the ratio of the sum of the joint relative frequency in a row or column and the total number of data values" is the definition of marginal relative frequency. But let's fill the blanks step by step:

• First blank (data type, number - based): Quantitative (matches "data expressed as a number").
• Second blank (data type, group - based): Categorical (matches "data divided up into groups").
• Third blank (table for two categorical variables): Two - way (a two - way table organizes data for two categorical variables).
• Fourth blank (frequency: joining row and column variable): Joint (joint frequency is the frequency of the combination of one row and one column variable).
• Fifth blank (frequency: ratio of row/column joint relative frequency sum to total): Marginal (marginal relative frequency is calculated as the sum of joint relative frequencies in a row or column divided by the total number of data values).

Answer:

1. Quantitative
2. Categorical
3. Two - way
4. Joint
5. Marginal