Question
a) Bivariate data are often summarized in two-way frequency tables. In the word bivariate, bi means
and variate sounds like the word
Answer
b) Two-way frequency tables show how two
i Answer
relate to each other.
c) The table cell entries that show the count when two categories are joined are called
row and column totals are called
Answer frequencies.
Answer
frequencies. The
d)
Answer
frequency represents the percentage of data points that fall in a certain category. It is calculated by
dividing frequency by Answer
e) A
Answer
f) A
Answer
g) A.
fixed.
1 Answer
:: categories
:: variable
relative frequency represents the proportion of data that fall in a certain category.
relative frequency is the total of the joint relative frequencies for a row or column.
frequency is the relative frequency when one of the two categories in a two-way frequency table i
:: Relative
the total conditional relative
ejoint
รค joint
i two
:: marginal
: marginal
and variate sounds like the word
Answer
b) Two-way frequency tables show how two
i Answer
relate to each other.
c) The table cell entries that show the count when two categories are joined are called
row and column totals are called
Answer frequencies.
Answer
frequencies. The
d)
Answer
frequency represents the percentage of data points that fall in a certain category. It is calculated by
dividing frequency by Answer
e) A
Answer
f) A
Answer
g) A.
fixed.
1 Answer
:: categories
:: variable
relative frequency represents the proportion of data that fall in a certain category.
relative frequency is the total of the joint relative frequencies for a row or column.
frequency is the relative frequency when one of the two categories in a two-way frequency table i
:: Relative
the total conditional relative
ejoint
รค joint
i two
:: marginal
: marginal
Answers
GPT-4o mini
Certainly! Here's a structured approach to fill in the blanks based on your requirements:
a) In the word bivariate, bi means **two** and variate sounds like the word **variable**.
b) Two-way frequency tables show how two **variables** relate to each other.
c) The table cell entries that show the count when two categories are joined are called **joint frequencies**. The row and column totals are called **marginal frequencies**.
d) **Relative frequency** represents the percentage of data points that fall in a certain category. It is calculated by dividing frequency by **the total number of observations**.
e) A **joint relative frequency** represents the proportion of data that falls in a certain category when considering two variables.
f) A **marginal relative frequency** is the total of the joint relative frequencies for a row or column.
g) A **conditional frequency** is the relative frequency when one of the two categories in a two-way frequency table is **fixed**.
Feel free to ask if you need any further explanations or clarifications!
a) In the word bivariate, bi means **two** and variate sounds like the word **variable**.
b) Two-way frequency tables show how two **variables** relate to each other.
c) The table cell entries that show the count when two categories are joined are called **joint frequencies**. The row and column totals are called **marginal frequencies**.
d) **Relative frequency** represents the percentage of data points that fall in a certain category. It is calculated by dividing frequency by **the total number of observations**.
e) A **joint relative frequency** represents the proportion of data that falls in a certain category when considering two variables.
f) A **marginal relative frequency** is the total of the joint relative frequencies for a row or column.
g) A **conditional frequency** is the relative frequency when one of the two categories in a two-way frequency table is **fixed**.
Feel free to ask if you need any further explanations or clarifications!