We are independent & ad-supported. We may earn a commission for purchases made through our links.
Advertiser Disclosure
Our website is an independent, advertising-supported platform. We provide our content free of charge to our readers, and to keep it that way, we rely on revenue generated through advertisements and affiliate partnerships. This means that when you click on certain links on our site and make a purchase, we may earn a commission. Learn more.
How We Make Money
We sustain our operations through affiliate commissions and advertising. If you click on an affiliate link and make a purchase, we may receive a commission from the merchant at no additional cost to you. We also display advertisements on our website, which help generate revenue to support our work and keep our content free for readers. Our editorial team operates independently of our advertising and affiliate partnerships to ensure that our content remains unbiased and focused on providing you with the best information and recommendations based on thorough research and honest evaluations. To remain transparent, we’ve provided a list of our current affiliate partners here.
Science

Our Promise to you

Founded in 2002, our company has been a trusted resource for readers seeking informative and engaging content. Our dedication to quality remains unwavering—and will never change. We follow a strict editorial policy, ensuring that our content is authored by highly qualified professionals and edited by subject matter experts. This guarantees that everything we publish is objective, accurate, and trustworthy.

Over the years, we've refined our approach to cover a wide range of topics, providing readers with reliable and practical advice to enhance their knowledge and skills. That's why millions of readers turn to us each year. Join us in celebrating the joy of learning, guided by standards you can trust.

What Is a Quantitative Hypothesis?

Helen Akers
By
Updated: May 21, 2024
Views: 35,602
Share

A quantitative hypothesis contains a null and an alternative proposition that is either proved or disproved through statistical analysis. The process speculates that an independent variable affects a dependent variable and an experiment is conducted to see if there is a relationship between the two. This type of hypothesis is stated in numerical terms and has specific rules and limits. The null hypothesis is either rejected or accepted as a result of statistical data gathered during a set of experiments.

One of the main differences between a qualitative and a quantitative hypothesis is that it has very specific limits. An example of a null hypothesis might be "five additional hours of study time per week lead to a higher grade point average in college students." The alternative hypothesis would probably state "five additional hours of study time per week does not increase the grade point average of college students." In order to reject or accept the null hypothesis, experimental data would need to be recorded over a specified period of time.

Most studies that set out to test a quantitative hypothesis measure data based on statistical significance, which means there is a low possibility of error. In the case of proving or disproving the effect of study time on the grade point averages of college students, a control group would most likely be tested. The behaviors and environments of these groups are usually controlled by the researchers. Data would also be obtained from a group of students whose behaviors and environments were not controlled.

Since a quantitative hypothesis and research study rely on numerical data, the results of an experiment or surveys are translated into mathematical values. For example, many market research studies use scales that assign a numerical value to each response. A reply of "agree" may correspond to the number "4," while a response of "disagree" may correspond to the number "2." When all of the survey feedback is recorded and analyzed, a percentage based on the total amount of responses is then assigned to each number.

Statistical analysis is often used to examine the results of survey and experimental data. Whether the quantitative hypothesis is rejected or accepted is dependent on the numerical result of the analysis. For example, if the average grade point average must be at least 3.5 in order to prove that the amount of study time has a direct effect, an average of 3.45 would result in a rejection of the quantitative hypothesis.

Share
All The Science is dedicated to providing accurate and trustworthy information. We carefully select reputable sources and employ a rigorous fact-checking process to maintain the highest standards. To learn more about our commitment to accuracy, read our editorial process.
Helen Akers
By Helen Akers
Helen Akers, a talented writer with a passion for making a difference, brings a unique perspective to her work. With a background in creative writing, she crafts compelling stories and content to inspire and challenge readers, showcasing her commitment to qualitative impact and service to others.
Discussion Comments
By GhostPug — On Oct 30, 2014

I find it helpful to define and understand concepts like quantitative hypothesis by also looking at the opposite term; here, that would be qualitative research.

Fundamentally, a quantitative hypothesis is a statistical, numerical, objective examination of cause and effect. Research begins with the hypothesis, gathers and examines data, and then evaluates the validity of the hypothesis with the data gathered. In the article, the question "Does increasing study time affect student grades?" is asked, and using the quantitative approach, it can be answered and the results can be generalized across multiple populations.

Qualitative research is an explanatory, narrative, and subjective examination of observed and reported behavior. Qualitative research would begin by noting that students who stayed after class with their professor scored higher an their exams, and would possibly conclude that the higher scores and time spent with the professor correlated with a deeper interest with the material itself.

Helen Akers
Helen Akers
Helen Akers, a talented writer with a passion for making a difference, brings a unique perspective to her work. With a...
Learn more
Share
https://www.allthescience.org/what-is-a-quantitative-hypothesis.htm
Copy this link
All The Science, in your inbox

Our latest articles, guides, and more, delivered daily.

All The Science, in your inbox

Our latest articles, guides, and more, delivered daily.