Dr. Alexis Gray introduces forensic anthropology and explains the scientific method, focusing on hypotheses, theories, and facts. She discusses research, data collection, and analysis using examples from her work with monkeys. The video also covers conducting experiments and the importance of controls. Dr. Gray shares her experiences as a female scientist in forensics, highlighting challenges and the rewarding nature of science.

What is a hypothesis in scientific terms?

• An unchangeable theory

• A proven fact

• A broad statement about relationships between things

• An untestable idea

What is required for a hypothesis to meet scientific standards?

• It must be a theory

• It must be a fact

• It must be accepted by everyone

• It must be testable and repeatable

What is the difference between a hypothesis and a theory?

• A hypothesis is a testable idea, while a theory is a tested hypothesis

• A hypothesis is an idea, while a theory is a proven fact

• A hypothesis is a proven fact, while a theory is an idea

• A hypothesis is a fact, while a theory is a testable idea

What is the singular form of 'data'?

• Datum

• Datas

• Datums

• Data

Which type of data is collected in a numbered format?

• Objective data

• Quantitative data

• Subjective data

• Qualitative data

What is an example of qualitative data?

• How you feel about cookies

• The time you go to bed

• The number of times you clean your room

• The number of cookies eaten

What is 'ad libitum' data?

• Data collected without a specific structure

• Data collected at regular intervals

• Data that is always quantitative

• Data that is always qualitative

What is the purpose of a control in an experiment?

• To ensure the experiment is fun

• To have a comparison for the tested variable

• To make the experiment more complex

• To test multiple variables at once

What field does Dr. Alexis Gray specialize in?

• Astrophysics

• Marine Biology

• Genetics

• Forensic Anthropology

What is a significant challenge Dr. Gray faced in her career?

• Lack of interest in science

• Resistance from male scientists

• Resistance from other female scientists

• Difficulty in collecting data