Outlier
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Null vs. Alternative Hypothesis [Overview] | Outlier
April 28, 2023 - One hypothesis is that the proportion of vegetarians is 5%. The other hypothesis is that the proportion of vegetarians is greater than 5%. In statistics, we would call the first hypothesis the null hypothesis, and the second hypothesis the alternative hypothesis.
Scribbr
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Null & Alternative Hypotheses | Definitions, Templates & Examples
January 24, 2025 - A null hypothesis claims that there is no effect in the population, while an alternative hypothesis claims that there is an effect.
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Hypothesis Testing - Null and Alternative Hypotheses - YouTube
Examples of null and alternative hypotheses (video)
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Null and alternative hypotheses with Lindsey Leach - YouTube
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Writing the Null and Alternate Hypothesis in Statistics - YouTube
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Null Hypothesis Vs Alternative Hypothesis (Easy Explanation) - YouTube
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Understanding the Difference: Null Hypothesis vs. Alternative ...
What is a Null Hypothesis?
A null hypothesis is a statement in which there is no relation between the two variables. It is represented by H0.
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Difference between Null Hypothesis and Alternative Hypothesis - ...
Why Null and Alternate Hypothesis are important?
Null and Alternate hypotheses are very important as they help researchers to formulate the testable hypothesis (or research question), design experiments or studies, and make statistical inferences about population based on sample data.
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Difference between Null Hypothesis and Alternative Hypothesis - ...
What is the difference between null and alternate hypothesis?
In the Null Hypothesis, there is no relation between two variables, while in the Alternative Hypothesis, there is some statistical significance between the variables. The result of the null hypothesis indicates no change in opinion, while the result of the alternative hypothesis causes a change in opinion. In the null hypothesis, independent variables do not affect the dependent variable, while in the alternative hypothesis independent variable affects the dependent variable.
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Difference between Null Hypothesis and Alternative Hypothesis - ...
ThoughtCo
thoughtco.com › null-hypothesis-vs-alternative-hypothesis-3126413
Differences Between The Null and Alternative Hypothesis
June 24, 2019 - If we are studying a new treatment, the null hypothesis is that our treatment will not change our subjects in any meaningful way. In other words, the treatment will not produce any effect in our subjects.
Study.com
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Null vs. Alternative Hypothesis | Definition & Examples - Lesson | Study.com
December 16, 2013 - By contrast, the alternative hypothesis indicates that statistically significant differences occur between two or more experimental or control groups. An experimental group refers to the part of the study that receives the treatment studied by the researcher, while the control group receives no treatment. Although both the null and the alternative hypotheses make predictions that are tested in a study, there are several important differences between the two.
Formpl
formpl.us › blog › alternative-null-hypothesis
Alternative vs Null Hypothesis: Pros, Cons, Uses & Examples
November 22, 2021 - If you develop a null hypothesis, you make an informed guess on whether a thing is true or whether there is a relationship between that thing and another variable. An alternate hypothesis will always take an opposite stand against a null hypothesis.
GeeksforGeeks
geeksforgeeks.org › data science › difference-between-null-and-alternate-hypothesis
Difference between Null and Alternate Hypothesis - GeeksforGeeks
May 18, 2022 - Null hypothesis is also exactly the opposite of the alternative hypothesis. Null hypothesis is generally what researchers or scientists try to disprove and if the null hypothesis gets accepted then we have to make changes in our opinion i.e.
Shiksha
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Difference between Null Hypothesis and Alternative Hypothesis - Shiksha Online
September 16, 2024 - It is also referred to as a hypothesis other than a Null Hypothesis. The alternative hypothesis states that a population parameter is smaller, greater, or different from the assumed value.
Testbook
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Learn the Difference Between Null and Alternative Hypothesis
Alternative Hypothesis (Ha): "There is a significant difference in mean test scores between Group A and Group B." Hypothesis testing is applied in various fields, including psychology, economics, biology, and social sciences, to examine research questions, test theories, and make evidence-based conclusions. In conclusion, the null ...
MyTutor
mytutor.co.uk › answers › 23601 › GCSE › Psychology › What-is-the-difference-between-the-null-hypothesis-alternate-hypothesis-directional-hypothesis-and-non-directional-hypothesis
What is the difference between the null hypothesis, alternate hypothesis, directional hypothesis and non-directional hypothesis?
A null hypothesis is an assumption of no relationship between the two variables, hence 'null', e.g. There is no relationship between [IV] and [DV]. This is the hypothesis that the researcher will attempt to reject by disproving it, thus approving the alternate hypothesis.An alternate hypothesis ...
Reddit
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r/AskStatistics on Reddit: Null hypothesis and Alternative Hypothesis
January 5, 2021 -
Hey! Can someone explain to me in simple terms the definition of null hypothesis? If u can use an example it would be great! Also if we reject the null hypothesis does it mean that the alternative hypothesis is true?
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Hi! So, yours is actually a sophisticated question that masquerades as a simple one, so I'll try to answer this in a way that conveys the concept while perhaps alluding to some of its problems. At its heart, the null hypothesis is a sort of "straw man" that is defined by a researcher at the beginning of an experiment that usually represents a state of affairs that would be expected to occur if the researcher's proposal were false. Note that a null hypothesis is entirely imaginary, and it has nothing to do with the actual state of the world. It is contrived, usually to show that the actual state of the world is inconsistent with the null hypothesis. Suppose a researcher is trying to determine whether the heights of men and women are different. A suitable null hypothesis might be that the difference of the two population averages (height of men and height of women) is equal to zero. Then the researcher would conduct his or her experiment by measuring the heights of many men and women. When it comes time to draw a statistical conclusion, he or she will compute the probability that the observed data (the set of heights) could have come from the null hypothesis (i.e., a world where there is no difference). This probability is called a "p-value". Conceptually, this is similar to a "proof by contradiction," in which we assert that, if the probability is very small that the data could have originated from the null hypothesis, it must not be true. This is what is meant by "rejecting the null hypothesis". It is different from a proof by contradiction because rejecting the null proves nothing, except perhaps that the null is unlikely to be the source of the observed data. It doesn't prove that the true difference is 5 inches, or 1 inch, or anything. Because of this, rejecting the null hypothesis is in NO WAY equivalent to accepting an alternative hypothesis. Usually, in the course of an experiment, we observe a result (such as the observed height difference, perhaps it is ~5 inches) that, once we reject, replaces the hypothesized value of 0 under the null. However, we DON'T know anything about the probability that our observed value is "correct", which is why we never say that we have "accepted" an alternative. I actually hesitate to discuss an "alternative" hypothesis because most researchers never state one and it doesn't matter for the purposes of null hypothesis significance testing (NHST). It is just the name given to the conclusion drawn by the researchers after they have rejected their null hypothesis. Philosophically, there is an adage that data can never be used to prove an assertion, only to disprove one. It includes an analogy about a turkey concluding that he is loved by his human family and is proven wrong upon being slaughtered on Thanksgiving. I'll include a link if I can find it. Now, think about this: The concept of rejecting a null hypothesis probably seems very reasonable as long as we are careful not to overinterpret it, and this is how NHST was performed for decades. But consider - what is the probability that the null hypothesis is true in the first place? In other words, how likely is it that the difference between mens' and womens' heights is equal to zero? I propose that the probability is exactly zero, and if you disagree then I will find a ruler small enough to prove me correct. The difference can never be equal to exactly zero (even though this is the "straw man" that our experiment refutes), so we are effectively testing against a hypothesis that can never be true. Rejecting a hypothesis we already know to be false tells us nothing important ("the data are unlikely to have come from this state that cannot be true"). And since every null hypothesis is imaginary, it is suggested that any null hypothesis can be rejected with enough statistical power (read:sample size). Often a "significant" result says more about a study's sample size than it does about the study's findings, even though the language used in papers/media suggests to readers that the findings are more "important" or "likely to be correct". This has, in part, led to a reproducibility crisis in the sciences and, for some, an undermining of subject-matter-experts' trust in the use of applied statistics.
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The null hypothesis (Ho) signifies no change. The alternative hypothesis (Ha) signifies a change. If we reject the null, we have evidence for the alternative hypothesis. This doesn’t mean that it’s true just that within this study, we have evidence to support the alternative hypothesis. If we fail to reject the null (we don’t use the word accept) then there is not enough evidence supporting the alternative hypothesis. Example: I’m wondering if smoking impacts lung function using a spirometry test that measures forced exploratory volume per second (FEV1). Ho: There is no difference in FEV1 between smokers vs non smokers Ha: There is a difference in FEV1 between smokers and non smokers. Rejecting or failing to reject the null aka Ho will involve more steps than just analyzing the mean FEV1 between the two groups, so let’s stop here before we get into more hypothesis testing.
Wikipedia
en.wikipedia.org › wiki › Null_hypothesis
Null hypothesis - Wikipedia
3 weeks ago - Null hypotheses that assert the equality of effect of two or more alternative treatments, for example, a drug and a placebo, are used to reduce scientific claims based on statistical noise. This is the most popular null hypothesis; It is so popular that many statements about significant testing assume such null hypotheses.
Tallahassee State College
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The Null and the Alternative Hypotheses
more than or less than 50%. The Null and Alternative Hypotheses looks like: H0: p = 0.5 (This is ... They want to test what proportion of the parts do not meet the specifications. Since they claim · that the proportion is less than 2%, the symbol for the Alternative Hypothesis will be <. As is the
National University
resources.nu.edu › statsresources › hypothesis
Null & Alternative Hypotheses - Statistics Resources - LibGuides at National University
Null Hypothesis: H0: There is no relationship between height and shoe size. Alternative Hypothesis: Ha: There is a positive relationship between height and shoe size.
Real-Statistics
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Null & Alternative Hypothesis | Real Statistics Using Excel
May 31, 2025 - Generally, it is the alternative hypothesis that you believe is true and you want to collect evidence that supports the alternative hypothesis instead of the null hypothesis /which is the opposite of the alternative hypothesis). I suggest that you forget all about statistics for a moment and state in your own words what the study is trying to demonstrate. This will become the alternative hypothesis (often after stripping out some non-essential words). Give it a try and let me know what you come up with. I can then comment further. Charles Reply · The psychological effect of stress and anxiety among college student.
Medium
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Null Hypothesis vs. Alternate Hypothesis: The Foundation of Statistical Inference | by Sarowar Ahmed | Python’s Gurus | Medium
July 29, 2024 - It represents the status quo or the currently accepted belief about a population parameter. Alternate Hypothesis (H₁ or Hₐ): The alternate hypothesis is a statement that contradicts the null hypothesis.
Microbe Notes
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Null hypothesis and alternative hypothesis with 9 differences
August 3, 2023 - If the hypothesis is that, “If ... same as that of the women. ... An alternative hypothesis is a statement that describes that there is a relationship between two selected variables in a study....
Indeed
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What Is an Alternative Hypothesis? (Definition and Examples) | Indeed.com
August 16, 2024 - An alternative hypothesis is an opposing theory to the null hypothesis. For example, if the null hypothesis predicts something to be true, the alternative hypothesis predicts it to be false.
Online Learning College
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Hypotheses | What Is A Hypothesis?, Null & Alternative Hypotheses
January 27, 2025 - A null hypothesis predicts that there will be no pattern or trend in results. In other words, it predicts no difference and no correlation. (A correlation is a relationship between two or more things.)
PsychStix
psychologyrocks.org › hypotheses-directional-and-non-directional
Hypotheses; directional and non-directional – PsychStix
August 27, 2024 - If the study is a true experiment then we can call the hypothesis “an experimental hypothesis”, a prediction is made about how the IV causes an effect on the DV. In a study which does not involve the direct manipulation of an IV, i.e. a natural or quasi-experiment or any other quantitative research method (e.g. survey) has been used, then we call it an “alternative hypothesis”, it is the alternative to the null.