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The trial may get a satisfactory power but the type I error rate may be inflated while the t-test is adopted to make hypothesis test because condition of t-distribution is not sufficed any more with variation of the sample size resulted from internal pilot design.
But this would make hypothesis testing in biology a much more subjective affair than appears to be the case, at least in the judgment of many scientists.
Studying predicted drug targets, researchers could make hypothesis on new drug combination for treatments.
The outcomes enable us only to make hypothesis on GPs' possibly prescribing more than necessary, and not to focus on a particular explanation.
XML patches make hypothesis testing and combinatorial model changes far easier to manage but are not a replacement for disciplined use of an SCM in a collaborative environment.
Lacking memory, lacking direct experiential knowledge, amnesiacs have to make hypotheses and inferences, and they usually make plausible ones.
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How to Formulate a Hypothesis: Example and Explanation
A hypothesis is a smart guess about how things work. It helps scientists figure out what they think will happen in their experiments. Making a good hypothesis is important because it guides the research and helps find answers to questions. In this article, we will learn how to make a strong hypothesis, look at some examples, and understand why they matter.
Key Takeaways
- A hypothesis is an educated guess that can be tested through experiments.
- Good hypotheses are clear, precise, and can be proven wrong.
- There are different types of hypotheses, like simple, complex, null, and alternative.
- Variables play a big role in forming a hypothesis, including independent, dependent, and control variables.
- Testing and refining hypotheses are crucial steps in scientific research.
Understanding the Concept of a Hypothesis
Definition and importance.
A hypothesis is an idea you can test. It's a clear statement predicting the outcome of your study. It's not just a guess ; it should be based on what you already know. A good hypothesis helps you focus your research and guides your experiments.
Role in Scientific Research
In science, a hypothesis is very important. It gives you a starting point for your experiments. You can test it to see if it's true or false. This helps you understand more about the world. A clear, testable hypothesis is key to good research .
Common Misconceptions
Many people think a hypothesis is just a wild guess. This is not true. A hypothesis is based on existing knowledge and theories. Another common mistake is making the hypothesis too broad. A good hypothesis should be specific and testable.
Steps to Formulate a Hypothesis
Formulating a hypothesis is a critical step in the scientific method. It involves several key stages that help ensure your hypothesis is both testable and relevant to your research question. Here are the steps you should follow:
Gathering Observations
Start by collecting as many observations about your topic or problem as possible. These observations will form the foundation of your hypothesis. Good clinical research starts from a plausible hypothesis supported by contemporary scientific knowledge. Look for patterns or trends in the data that might suggest a possible explanation.
Identifying Variables
Next, identify the variables involved in your study. Variables are the elements that you will measure or manipulate in your research. There are typically three types of variables: independent, dependent, and control variables. Understanding these will help you design a more effective experiment.
Developing Possible Explanations
Once you have gathered your observations and identified your variables, the next step is to develop possible explanations for the patterns you have observed. This is where you start to formulate your hypothesis. Think of ways to confirm or disprove each possible explanation through experimentation. This process is known as falsifiability and is crucial for a robust hypothesis.
Characteristics of a Good Hypothesis
Testability and falsifiability.
A good hypothesis must be testable, meaning you can design an experiment to check if it's true or false. Testability is crucial because it allows you to gather evidence to support or refute your hypothesis. Additionally, a hypothesis should be falsifiable, which means there should be a possible outcome that can prove it wrong. This aligns with the falsification principle proposed by Karl Popper, which is fundamental in scientific research.
Clarity and Precision
Your hypothesis should be clear and precise, avoiding any vague language. This clarity helps in demystifying the concept of a thesis statement . A well-defined hypothesis makes it easier to design experiments and interpret results. For example, instead of saying "Plants grow better with more light," you could say, "If plants receive 8 hours of sunlight daily, then they will grow taller than plants that receive 4 hours of sunlight daily."
Relevance to Research Question
A good hypothesis should be directly related to your research question. It should provide a clear direction for your study and help you focus on specific variables. This relevance ensures that your hypothesis is not just a random guess but is grounded in existing knowledge and observations. Hypotheses have strong, arguably foundational, utility as a tool of science . They support the falsification principle, proposed by Karl Popper as fundamental in scientific research.
Types of Hypotheses in Research
When conducting research, it's crucial to understand the different types of hypotheses you might encounter. Each type serves a unique purpose and helps guide your study in specific ways. Knowing these types can enhance the clarity and focus of your research proposal .
Examples of Hypotheses
Simple hypothesis examples.
A simple hypothesis suggests a relationship between two variables: one independent and one dependent. For instance, "If students sleep for at least 8 hours, then their test scores will improve." This type of hypothesis is straightforward and easy to test.
Complex Hypothesis Examples
A complex hypothesis involves more than two variables. An example could be, "If students sleep for at least 8 hours and eat a healthy breakfast, then their test scores and overall well-being will improve." This type of hypothesis examines multiple factors and their combined effects.
Null and Alternative Hypothesis Examples
The null hypothesis states that there is no relationship between the variables. For example, "There is no difference in test scores between students who sleep for 8 hours and those who do not." The alternative hypothesis, on the other hand, suggests a relationship: "Students who sleep for 8 hours will have better test scores than those who do not."
Understanding these examples helps clarify how to structure your own hypotheses. Whether simple or complex, each type plays a crucial role in scientific research.
The Role of Variables in Hypothesis Formulation
When formulating a hypothesis, understanding the role of variables is crucial. Variables are the elements that you measure or manipulate in your research . They help you establish relationships and test your predictions effectively.
Testing Your Hypothesis
Designing experiments.
Designing an experiment is a crucial step in testing your hypothesis. A well-designed experiment ensures that you can accurately test your hypothesis and obtain reliable results. Start by defining your independent and dependent variables clearly. Make sure to control other factors that might influence the outcome. This is essential for maintaining the integrity of your experiment. You should also consider the ethical implications of your experiment to ensure it adheres to accepted standards.
Data Collection Methods
Once your experiment is designed, the next step is to collect data. Choose data collection methods that are appropriate for your research question and hypothesis. Common methods include surveys, observations, and experiments. Ensure that your data collection process is systematic and consistent to avoid any biases. Remember, the goal is to gather data that will either support or refute your hypothesis.
Analyzing Results
After collecting your data, the next step is to analyze the results. Use statistical methods to determine whether your data supports your hypothesis. This involves calculating the likelihood that your results are due to chance. If your data does not support your hypothesis, don't be discouraged. Unexpected findings can lead to new questions and further research. Always be open to conducting further experiments to validate and understand your findings.
Common Pitfalls in Hypothesis Formulation
When formulating a hypothesis, it's crucial to avoid common mistakes that can undermine your research. Here are some pitfalls to watch out for:
Overly Broad Hypotheses
One of the most frequent errors is creating a hypothesis that is too broad. A broad hypothesis can be difficult to test and may not provide meaningful results. Narrowing down your hypothesis to a specific aspect of your research question can make it more manageable and testable.
Lack of Testability
A hypothesis must be testable to be valid. If you can't design an experiment to test your hypothesis, it's not useful. Ensure that your hypothesis includes variables that can be measured and tested. This is essential for revolutionizing research: the secrets of effective experimental design .
Ignoring Alternative Explanations
Another common mistake is failing to consider other possible explanations for your observations. When you ignore alternative explanations, you risk missing out on important insights. Always evaluate assumptions, revise methodology, and consider alternative explanations to strengthen your hypothesis.
By being aware of these pitfalls, you can create a more robust and reliable hypothesis for your research.
Refining and Revising Hypotheses
When you conduct research, it’s common to find that your initial hypothesis may not hold true. This is a normal part of the scientific process. If your results do not support your original hypothesis, consider suggesting alternative options for future studies. This can help guide further research and improve understanding of the topic.
To ensure your hypothesis is strong, you can use a checklist to identify any weaknesses. Here are some questions to consider:
- Is the hypothesis clear and specific?
- Can it be tested through experiments?
- Does it relate to the research question?
By answering these questions, you can refine your hypothesis and make it more robust. Additionally, incorporating feedback from peers can provide new insights and help you adjust your hypothesis based on new data.
In summary, refining and revising your hypothesis is essential for advancing your research. It allows you to adapt to new findings and improve the clarity and focus of your work. Remember, the goal is to develop a hypothesis that can lead to meaningful conclusions and further exploration in your field.
In the context of educational research, a recent meta-analysis highlights the importance of understanding the relationship between psychological needs and student well-being. This shows how refining hypotheses can lead to better insights into complex issues. Similarly, a grounded theory study emphasizes the need for thorough reviews to identify key issues in research, which can also inform hypothesis revision.
Case Studies of Hypothesis Formulation
One of the most famous historical examples of hypothesis formulation is Gregor Mendel's work on pea plants. Mendel's hypothesis about inheritance patterns laid the groundwork for modern genetics. He observed the traits of pea plants and formulated hypotheses about how these traits were passed down through generations. His work is a classic example of how careful observation and hypothesis testing can lead to significant scientific breakthroughs.
In contemporary research, hypothesis formulation continues to play a crucial role. For instance, in the field of psychology, researchers often develop hypotheses to understand human behavior. A recent study on the effects of social media on mental health formulated the hypothesis that increased social media use leads to higher levels of anxiety and depression. This hypothesis was tested through surveys and data analysis, providing valuable insights into the relationship between social media and mental health.
From both historical and contemporary examples, several lessons can be learned about effective hypothesis formulation:
- Observation is key : Careful observation of phenomena is the first step in formulating a hypothesis.
- Clarity and precision : A good hypothesis should be clear and precise, making it easier to test.
- Testability: Ensure that your hypothesis can be tested through experiments or data analysis.
- Flexibility: Be prepared to revise your hypothesis based on new data or feedback.
By understanding these lessons, you can improve your own hypothesis formulation process and contribute to the advancement of scientific knowledge.
In our "Case Studies of Hypothesis Formulation" section, we dive into real-world examples that show how to create strong hypotheses. These case studies are designed to help you understand the process and apply it to your own work. If you're looking for more detailed guidance, visit our website for step-by-step instructions and special offers. Don't miss out on the chance to improve your research skills!
Formulating a hypothesis is a fundamental step in the scientific method that helps guide research and experimentation. By gathering observations, evaluating potential causes, and developing testable statements, researchers can create hypotheses that are both meaningful and falsifiable. This process not only aids in understanding the problem at hand but also in predicting outcomes and drawing conclusions based on empirical evidence. Remember, a well-crafted hypothesis is clear, concise, and provides a direction for future research. With practice and careful consideration, anyone can learn to formulate effective hypotheses that contribute to scientific knowledge.
Frequently Asked Questions
What is a hypothesis.
A hypothesis is an educated guess about how things work. It's a statement that can be tested to see if it's true or false.
Why is a hypothesis important in scientific research?
A hypothesis helps guide your experiments and research. It gives you a clear focus and helps you understand what you're trying to find out.
What are the steps to formulate a good hypothesis?
To create a good hypothesis, start by gathering observations, look for patterns, and identify variables. Then, come up with possible explanations that you can test.
What makes a hypothesis testable?
A testable hypothesis is one that you can prove or disprove through experiments or observations. It should be clear and specific.
Can a hypothesis be proven true?
A hypothesis can be supported by evidence, but it can't be proven true beyond all doubt. New evidence might change our understanding.
What are independent and dependent variables?
Independent variables are the ones you change in an experiment. Dependent variables are the ones you measure to see if they change because of the independent variable.
What is a null hypothesis?
A null hypothesis states that there is no relationship between the variables being studied. It's often used as a starting point for testing.
How can I avoid common pitfalls in hypothesis formulation?
To avoid problems, make sure your hypothesis is specific, testable, and based on observations. Avoid making it too broad or ignoring other possible explanations.
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Hypothesis Maker Online
Looking for a hypothesis maker? This online tool for students will help you formulate a beautiful hypothesis quickly, efficiently, and for free.
Are you looking for an effective hypothesis maker online? Worry no more; try our online tool for students and formulate your hypothesis within no time.
- 🔎 How to Use the Tool?
- ⚗️ What Is a Hypothesis in Science?
👍 What Does a Good Hypothesis Mean?
- 🧭 Steps to Making a Good Hypothesis
🔗 References
📄 hypothesis maker: how to use it.
Our hypothesis maker is a simple and efficient tool you can access online for free.
If you want to create a research hypothesis quickly, you should fill out the research details in the given fields on the hypothesis generator.
Below are the fields you should complete to generate your hypothesis:
- Who or what is your research based on? For instance, the subject can be research group 1.
- What does the subject (research group 1) do?
- What does the subject affect? - This shows the predicted outcome, which is the object.
- Who or what will be compared with research group 1? (research group 2).
Once you fill the in the fields, you can click the ‘Make a hypothesis’ tab and get your results.
⚗️ What Is a Hypothesis in the Scientific Method?
A hypothesis is a statement describing an expectation or prediction of your research through observation.
It is similar to academic speculation and reasoning that discloses the outcome of your scientific test . An effective hypothesis, therefore, should be crafted carefully and with precision.
A good hypothesis should have dependent and independent variables . These variables are the elements you will test in your research method – it can be a concept, an event, or an object as long as it is observable.
You can observe the dependent variables while the independent variables keep changing during the experiment.
In a nutshell, a hypothesis directs and organizes the research methods you will use, forming a large section of research paper writing.
Hypothesis vs. Theory
A hypothesis is a realistic expectation that researchers make before any investigation. It is formulated and tested to prove whether the statement is true. A theory, on the other hand, is a factual principle supported by evidence. Thus, a theory is more fact-backed compared to a hypothesis.
Another difference is that a hypothesis is presented as a single statement , while a theory can be an assortment of things . Hypotheses are based on future possibilities toward a specific projection, but the results are uncertain. Theories are verified with undisputable results because of proper substantiation.
When it comes to data, a hypothesis relies on limited information , while a theory is established on an extensive data set tested on various conditions.
You should observe the stated assumption to prove its accuracy.
Since hypotheses have observable variables, their outcome is usually based on a specific occurrence. Conversely, theories are grounded on a general principle involving multiple experiments and research tests.
This general principle can apply to many specific cases.
The primary purpose of formulating a hypothesis is to present a tentative prediction for researchers to explore further through tests and observations. Theories, in their turn, aim to explain plausible occurrences in the form of a scientific study.
It would help to rely on several criteria to establish a good hypothesis. Below are the parameters you should use to analyze the quality of your hypothesis.
| Testability | You should be able to test the hypothesis to present a true or false outcome after the investigation. Apart from the logical hypothesis, ensure you can test your predictions with . |
|---|---|
| Variables | It should have a dependent and independent variable. Identifying the appropriate variables will help readers comprehend your prediction and what to expect at the conclusion phase. |
| Cause and effect | A good hypothesis should have a cause-and-effect connection. One variable should influence others in some way. It should be written as an “if-then” statement to allow the researcher to make accurate predictions of the investigation results. However, this rule does not apply to a . |
| Clear language | Writing can get complex, especially when complex research terminology is involved. So, ensure your hypothesis has expressed as a brief statement. Avoid being vague because your readers might get confused. Your hypothesis has a direct impact on your entire research paper’s quality. Thus, use simple words that are easy to understand. |
| Ethics | Hypothesis generation should comply with . Don’t formulate hypotheses that contravene taboos or are questionable. Besides, your hypothesis should have correlations to published academic works to look data-based and authoritative. |
🧭 6 Steps to Making a Good Hypothesis
Writing a hypothesis becomes way simpler if you follow a tried-and-tested algorithm. Let’s explore how you can formulate a good hypothesis in a few steps:
Step #1: Ask Questions
The first step in hypothesis creation is asking real questions about the surrounding reality.
Why do things happen as they do? What are the causes of some occurrences?
Your curiosity will trigger great questions that you can use to formulate a stellar hypothesis. So, ensure you pick a research topic of interest to scrutinize the world’s phenomena, processes, and events.
Step #2: Do Initial Research
Carry out preliminary research and gather essential background information about your topic of choice.
The extent of the information you collect will depend on what you want to prove.
Your initial research can be complete with a few academic books or a simple Internet search for quick answers with relevant statistics.
Still, keep in mind that in this phase, it is too early to prove or disapprove of your hypothesis.
Step #3: Identify Your Variables
Now that you have a basic understanding of the topic, choose the dependent and independent variables.
Take note that independent variables are the ones you can’t control, so understand the limitations of your test before settling on a final hypothesis.
Step #4: Formulate Your Hypothesis
You can write your hypothesis as an ‘if – then’ expression . Presenting any hypothesis in this format is reliable since it describes the cause-and-effect you want to test.
For instance: If I study every day, then I will get good grades.
Step #5: Gather Relevant Data
Once you have identified your variables and formulated the hypothesis, you can start the experiment. Remember, the conclusion you make will be a proof or rebuttal of your initial assumption.
So, gather relevant information, whether for a simple or statistical hypothesis, because you need to back your statement.
Step #6: Record Your Findings
Finally, write down your conclusions in a research paper .
Outline in detail whether the test has proved or disproved your hypothesis.
Edit and proofread your work, using a plagiarism checker to ensure the authenticity of your text.
We hope that the above tips will be useful for you. Note that if you need to conduct business analysis, you can use the free templates we’ve prepared: SWOT , PESTLE , VRIO , SOAR , and Porter’s 5 Forces .
❓ Hypothesis Formulator FAQ
Updated: Jul 19th, 2024
- How to Write a Hypothesis in 6 Steps - Grammarly
- Forming a Good Hypothesis for Scientific Research
- The Hypothesis in Science Writing
- Scientific Method: Step 3: HYPOTHESIS - Subject Guides
- Hypothesis Template & Examples - Video & Lesson Transcript
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▾ Dictionary English-French
Hypothesis noun ( plural: hypotheses ) —, hypothèse f (almost always used) ( plural: hypothèses f ), null hypothesis n —, hypothesis testing n —, working hypothesis n —, alternative hypothesis n —, alternate hypothesis n —, main hypothesis n —, original hypothesis n —, initial hypothesis n —, basic hypothesis n —, starting hypothesis n —, stated hypothesis n —, first hypothesis n —, last hypothesis n —, plausible hypothesis n —, average hypothesis n —, cautious hypothesis n —, median hypothesis n —, fundamental hypothesis n —, scientific hypothesis n —, research hypothesis n —, hypothesis formulated n —, mere hypothesis n —, realistic hypothesis n —, hypothesis adopted n —, hypothesis envisaged n —, reasonable hypothesis n —, selected hypothesis n —, latter hypothesis n —, ▸ wikipedia, ▾ external sources (not reviewed).
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- This is not a good example for the translation above.
- The wrong words are highlighted.
- It does not match my search.
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- The translation is wrong or of bad quality.
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(Ce qu'il faut savoir pour comprendre ce cours)
Conna�tre le pr�t�rit et le futur .
> Emettre des hypoth�ses; exprimer des choses irr�elles, des choses qui ne se passeront que si une condition est respect�e : Si j'�tais riche, je m'ach�terais une grosse voiture.
'Les structures hypoth�tiques' ? Un bien grand mot pour quelque chose de facile � comprendre. Ce sont les phrases qui reposent sur ce sch�ma :
si la condition se r�alise, alors il va se passer quelque chose.
Sch�ma n�1: IF + verbe au pr�sent simple / WILL + base verbale
On utilise ce sch�ma pour un avenir qu'on pense �tre possible, qui va sans doute se d�rouler si une condition est remplie.
On peut se calquer sur le fran�ais :
If you work hard, you will pass your exam.
Si tu travailles dur, tu r�ussiras ton examen.
On n'oublie pas le '-s' de la 3e personne du singulier :
If she works hard, she will pass her exam.
Si elle travaille dur, elle r�ussira son examen.
(to pass = r�ussir, et non pas : passer un examen)
Voil�, c'est facile. On a d�j� vu le pr�sent simple et le futur. Il suffit de les appliquer ici. Pour une fois, il n'y a pas d'exception. Youpiiii! :-)
La personne utilise ce sch�ma n�1, car elle pense que si la condition 1 est r�alis�e (le fait de travailler), la cons�quence (r�ussir l'examen) a de fortes chances de se r�aliser.
Sch�ma n�2: IF + pr�t�rit modal / WOULD + base verbale
On utilise ce sch�ma pour quelque chose qui a peu de chances de se r�aliser. On est en plein r�ve et on doute fort que cela va se passer. C'est le cas typique en fran�ais du 'si j'�tais riche, je ferais un voyage autour du monde...' On est ici dans l'irr�el, et on va utiliser le conditionnel.
If I had a lot of money, I would buy a big car.
Si j'avais beaucoup d'argent, j'ach�terais une grosse voiture.
Ici, le locuteur (la personne qui parle) �nonce clairement que le fait de devenir riche a tr�s tr�s peu de chances de se r�aliser. On est dans le domaine du r�ve.
Encore une fois, on peut se calquer sur le fran�ais : on a bien mis du pass� (pr�t�rit) dans la proposition 1, et du conditionnel dans la proposition 2.
Le conditionnel est tr�s simple � construire: WOULD + base verbale � toutes les personnes, sans exception. Exemples : I / you / he / she / it / we / you / they would be happy.
Instinctivement, on serait tent� de dire : If I was rich ... Cette formule est famili�re et peut �tre utilis�e � l'oral, entre deux amis. A l'�crit, on utilise une forme plus fr�quente et plus correcte, qui consiste � utiliser WERE et non WAS, afin de montrer qu'on est vraiment dans l'irr�el. La forme correcte serait donc � l'�crit : If I were rich, I would buy a big car. De m�me pour toutes les personnes : If she were rich, she would buy a big car.
Alors, je sais, cette tournure peut choquer les personnes qui apprennent l'anglais, car elle est � l'oppos� de ce qu'on voit habituellement au pr�t�rit. Mais, il suffit de prendre l'habitude et d'utiliser la forme correcte (n'oublions pas qu'il s'agit d'un pr�t�rit modal, c'est-�-dire li� � l'irr�el, et non d'un pr�t�rit classique). A force de l'utiliser, vous arriverez � l'employer sans avoir l'impression de 'commettre une erreur'... et votre anglais en sera d'autant plus correct. Cette forme est INDISPENSABLE � l'�crit.
Online Language Dictionaries
| '; audChoice = audChoice.replace(/ selected=["']selected["']/gm, '');var audT = document.getElementById('audT');if ((audT) && (audPref)) { //Parse the content if(audPref.indexOf(':') > -1) { var audPrefAccent = audPref.split(':')[0]; var playbackRate = audPref.split(':')[1]; } else { var audPrefAccent = audPref; var playbackRate = 1; } var re = new RegExp('( UK and possibly other pronunciationsUK and possibly other pronunciations/haɪˈpɒθ sɪs/ USA pronunciation: IPA/haɪˈpɑθəsɪs, hɪ-/ US:USA pronunciation: respellingUSA pronunciation: respelling(hī poth ə sis, hi-) | | | | | | |of ' ' (n): npl: hypotheses WordReference Random House Learner's Dictionary of American English © 2024 hy•poth•e•sis n. [ ], pl. a theory or idea that is put forth to explain something, and that is either accepted as a guide for future investigation or is assumed for the sake of argument and testing.See . WordReference Random House Unabridged Dictionary of American English © 2024 hy•poth•e•sis ə sis, hi-),USA pronunciation n., pl. ) or accepted as highly probable in the light of established facts. basis, supposition. See hypo-, thesis e•sist, n. See /haɪˈpɒθɪsɪs/ n ( pl -ses / -ˌsiːz/ ) ) or accepted as likely to be true Etymology: 16th Century: from Greek, from to propose, suppose, literally: put under; see hypo-, thesisn ' also found in these entries (note: many are not synonyms or translations): - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - , , , , , Forum discussions with the word(s) "hypothesis" in the title: Go to page and choose from different actions for taps or mouse clicks. In other languages: | | | | | | | | | | | | | | | | | | | | | | | |
Prononciation anglaise de hypothesisYour browser doesn't support HTML5 audio (Prononciations anglaises de hypothesis depuis le Cambridge Advanced Learner's Dictionary & Thesaurus et le Cambridge Academic Content Dictionary , both sources © Cambridge University Press)  Mot du jour in seventh heaven extremely happy  A finger in every pie: phrases with the word ‘finger’  Nouveaux mots En apprendre plus avec +Plus
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But this would make hypothesis testing in biology a much more subjective affair than appears to be the case, at least in the judgment of many scientists. 1 Listen
hypothesis n (plural: hypotheses) L'hypothèse faite par le scientifique s'est révélée exacte. The hypothesis made by the scientist turned out to be correct. Nous avons vérifié notre hypothèse dans le laboratoire. We tested our hypothesis in the laboratory.
hypothesis n (pluriel: hypotheses) L'hypothèse faite par le scientifique s'est révélée exacte. The hypothesis made by the scientist turned out to be correct. Nous avons vérifié notre hypothèse dans le laboratoire. We tested our hypothesis in the laboratory.
Il y a trois cas de phrases possibles pour émettre une hypothèse: Cas numéro 1 : If I + présent, I + futur ... ex: If I have enough spare time, I will call you. Cas numéro 2 : If I + prétérit , I would + base verbale ... ex: If I had enough spare time, I would call you. Cas numéro 3 : If I + past perfect + I would + have + participe passé.
Français. Anglais. hypothèse nf. (supposition, possibilité) hypothesis, possibility, theory n. (accepted as true) assumption n. La police n'écarte aucune hypothèse. The police aren't ruling out any possibility.
Traduction de "hypothèse" en anglais. Le scientifique partageait une hypothèse chimérique qui intriguait mais troublait ses collègues. The scientist shared a chimerical hypothesis that intrigued but confused his colleagues. La chercheuse curieuse a rassemblé des données de diverses sources pour appuyer son hypothèse.
English Translation of "HYPOTHÈSE" | The official Collins French-English Dictionary online. Over 100,000 English translations of French words and phrases.
The researcher's blue-sky hypothesis challenged traditional scientific beliefs. Le scientifique a mené avec rigueur des expériences pour tester l' hypothèse. The scientist capably conducted experiments to test the hypothesis. Voir plus d'exemples de traduction Français-Anglais en contexte pour ...
Traduction de "faire une hypothèse" en anglais. make an assumption. give you a hypothesis. Il est donc possible de faire une hypothèse selon laquelle, It is thus possible to make an assumption according to which, Pour cibler un site spécifique, vous devrez faire une hypothèse sur le code source du site Web.
HYPOTHESIS définition, signification, ce qu'est HYPOTHESIS: 1. an idea or explanation for something that is based on known facts but has not yet been proved…. En savoir plus.
Le scientifique partageait une hypothèse chimérique qui intriguait mais troublait ses collègues.: The scientist shared a chimerical hypothesis that intrigued but confused his colleagues.: La chercheuse curieuse a rassemblé des données de diverses sources pour appuyer son hypothèse.: The enquiring researcher gathered data from various sources to support her hypothesis.
Anglais: Français: null hypothesis, plural: null hypotheses n (statistics: hypothesis to be tested) (Statistiques) hypothèse nulle nf: working hypothesis n (applied theory) hypothèse de travail nf : Professor Smith's idea is merely a working hypothesis. L'idée du professeur Smith n'est qu'une simple hypothèse de travail.
Complex Hypothesis Examples. A complex hypothesis involves more than two variables. An example could be, "If students sleep for at least 8 hours and eat a healthy breakfast, then their test scores and overall well-being will improve." This type of hypothesis examines multiple factors and their combined effects.
Use our hypothesis formulator to generate an effective hypothesis for your research. All you have to do is fill out the details in the required fields and click the 'create hypothesis' button. The AI-based algorithm will generate a list of great hypotheses you can use in your investigation.
hypothèse f (almost always used) (plural: hypothèses f) The hypothesis made by the scientist turned out to be correct. L'hypothèse faite par le scientifique s'est révélée exacte. We tested our hypothesis in the laboratory. Nous avons vérifié notre hypothèse dans le laboratoire. less common:
HYPOTHÈSE translate: hypothesis, assumption, hypothesis. Learn more in the Cambridge French-English Dictionary.
If we (be) there, we could have seen the parade. 8. People would believe my story if I (be) not so young. 9. If I (know) how to ski, I would have joined you. 10. If he (go over) his lessons yesterday, he would have passed the exam now. 11. If you helped him, he (be) happy now.
3. I (not / be) happy, if I had a bad mark. 4. You would buy a yacht if you (have) enough money. Fin de l'exercice d'anglais "Structures hypothétiques - cours". Un exercice d'anglais gratuit pour apprendre l'anglais. Tous les exercices | Plus de cours et d'exercices d'anglais sur les mêmes thèmes : | Conditionnel.
hypothesis - WordReference English dictionary, questions, discussion and forums. All Free.
Traductions en contexte de "make hypothesis" en anglais-français avec Reverso Context : We tried to make hypothesis as why it happens. Traduction Context Correcteur Synonymes Conjugaison. Conjugaison Documents Dictionnaire Dictionnaire Collaboratif Grammaire Expressio Reverso Corporate.
hypotheses définition, signification, ce qu'est hypotheses: 1. plural of hypothesis 2. plural of hypothesis. En savoir plus.
HYPOTHESIS translate: hypothèse [feminine], hypothèse. Learn more in the Cambridge English-French Dictionary.
Prononciation de HYPOTHESIS. Comment dire HYPOTHESIS en anglais, grâce aux prononciations audio - Cambridge University Press