Answer:Women were being left at home more frequently as men went off to factories.Explanation:Female suffrage or female vote refers to the right to vote exercised by women and therefore the political and constitutional right to vote for elected public office as well as to be voted. The suffrage therefore covers the asset, which determines who is entitled to exercise the vote as the so-called liability, which refers to who and under what conditions they have the right to be elected. The founding moment of Sufragismo was in 1848 with the Declaration of Feelings of Seneca Falls in the United States and culminated a hundred years later, in 1948, with the Universal Declaration of Human Rights that recognizes women's suffrage as a universal human right.
Answer:
quarter is like test and semester is like exam
Based on the quantity of avocados consumed by both cities, the answer to this would be<u> 60% more. </u>
Phoenix consumes 120 million avocados and Denver consumes 75 million.
<h3>Phoenix Percentage consumption over Denver</h3>
First find the difference between the avocados consumed:
= 120 - 75
= 45 million
In percentage this is:
= Quantity difference / Denver consumption x 100%
= 45 / 75 x 100%
= 60%
In conclusion, Phoenix consumes 60% more.
Find out more about percentages at brainly.com/question/25992811.
The code chunk that lets the analyst create the phone_number column is: unite(customers, "phone_number", area_code, phone_num, sep="-"
<h3>What is a data frame?</h3>
A data frame refers to a two-dimensional array-like structure or table that is made up of rows and columns, which is typically used for storing data in R Studio using the R programming language.
In Computer programming, a data frame is a list of vectors that are all equal in length, and each column consist of values of one variable while each row consist of a set of values from each column.
<h3>The executable code in R Studio.</h3>
In this scenario, the code chunk that would be used to create a data frame that combines the two columns into a single column (phone_number) is:
- unite(customers, "phone_number", area_code, phone_num, sep="-"
Read more on data frame here: brainly.com/question/25558534