Asked by
Malcolm Ogilvie
on Oct 17, 2024
Verified
A Ph.D.candidate is collecting data about women in mathematics careers.She interviewed 200 female mathematicians and recorded the following data: number of years attending university,math classes taken in high school (algebra,geometry,etc.) ,gender of high school math teacher,and high school average (in %) .
A) Number of years attending university,quantitative,years; math classes taken in high school,categorical; gender of high school math teacher,quantitative,male or female; high school average,categorical.
B) Number of years attending university,quantitative,years; math classes taken in high school,categorical; gender of high school math teacher,categorical; high school average,quantitative,percentage.
C) Number of years attending university,quantitative,days; math classes taken in high school,categorical; gender of high school math teacher,categorical; high school average,quantitative,percentage.
D) Number of years attending university,quantitative,years; math classes taken in high school,categorical; high school average,quantitative,percentage.
E) Number of years attending university,quantitative,months; math classes taken in high school,quantitative,class; gender of high school math teacher,categorical; high school average,quantitative,percentage.
Female Mathematicians
Women who specialize in the field of mathematics, contributing to its development, theories, and applications.
Gender
A range of characteristics pertaining to, and differentiating between, masculinity and femininity, often based on social and cultural differences rather than biological ones.
- Attain an understanding of the diverse types of data, such as quantitative versus categorical, and their relevance in numerous research environments.
- Realize the imperative of pinpointing units of measure in the gathering and conveying of data.
- Familiarize oneself with the idea of variables and the methods for their categorization (e.g., age, weight, type of contribution).
Verified Answer
NH
Learning Objectives
- Attain an understanding of the diverse types of data, such as quantitative versus categorical, and their relevance in numerous research environments.
- Realize the imperative of pinpointing units of measure in the gathering and conveying of data.
- Familiarize oneself with the idea of variables and the methods for their categorization (e.g., age, weight, type of contribution).