# Does a hypothesis test ever prove the null hypothesis?

# What are the limits of null hypothesis testing and possible alternatives?

Null hypothesis is whether there is a difference or not. Null hypothesis (H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two o…r more populations. According to the null hypothesis, any observed difference in samples is due to chance or sampling error. http://www.leansigmamart.com Starting with understanding the DMAIC method, with out this you are never going to have successful results. I recently discovered this site dedicated to answering all the Lean Six Sigma / process improvement needs and questions. They offer a FREE very complete software system that will walk you through the entire DMAIC methodology. It has a training video at every possible step including example data, video demonstration, voice guided instructions, templates for every step, and a phone contact to even help you. Oh and did i say FREE? In that site they also have a forum for Q. & A. beside a live chat room. Do you use minitab? How about a complete section on how to use it with videos and links to their home page. They have so much more I cant list, just go there and see. .
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# What is a null hypothesis?

The null hypothesis is the statement that there is no relationshipbetween two observations.

# What are the advantages of null hypothesis significance testing?

The add vantage of the null hypothesis testing is when used to determine errors in tolerances the null hypothesis will always land you on the side of safety. This is often use…d when the importance of quantity or quality is extremely important. The case of filling medicine in to a capsule would require a very close tolerance, the null hypothesise could set an undefined error, however this is much safer than a wide tolerance which could result in a dangerous outcome.

# Why is it impossible to ever prove that a hypothesis is true?

Most science uses inductive reasoning.

# What is the null hypothesis tested by an ANOVA?

ANOVA test null hypothesis is the means among two or more data sets are equal.

# Reject or accept null hypothesis F-test?

F-test results will determine if the null hypothesis will berejected or accepted. All test are ran with the assumption that thenull hypothesis is true.

# How is null hypothesis tested?

A null hypothesis states that there is no relationship between two or more variables being studied. The assumption in science is that the null hypothesis is true until suffici…ent evidence emerges, though statistical testing, to reject the null and support an alternative hypothesis. The exact statistical test depends on the number and type of variables being tested, but all statistical hypothesis tests result in a probability value (p). Generally, the null is rejected when p < .05 representing less than a 5% chance that the relationship between the variables is due to error. This cutoff - called alpha - can be set lower in certain fields or studies, but rarely is set higher.

# Why have a null hypothesis?

Statistical tests are designed to test one hypothesis against another. Conventionally, the default hypothesis is that the results were obtained purely by chance and that there… is no observed effect acting on the observations - ie the effect is null. The alternative is that there IS an effect.

# Why is it impossible to ever prove that hypothesis is true?

Most science uses indutive reasoning

# When you accept the Null Hypothesis you are certain that the Null Hypothesis is correct?

No, you are never certain.

# What can you conclude if the global test of regression does not reject the null hypothesis?

You can conclude that there is not enough evidence to reject the null hypothesis. Or that your model was incorrectly specified. Consider the exact equation y = x 2 . A regres…sion of y against x (for -a < x < a) will give a regression coefficient of 0. Not because there is no relationship between y and x but because the relationship is not linear: the model is wrong! Do a regression of y against x 2 and you will get a perfect regression!

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# How is the null hypothesis of the independent samples t-test verbalized?

The null hypothesis of the independent samples t-test is verbalized by either accepting or rejecting it due to the value of the t-test. If the value is less than 0.05 it is ac…cepted and greater than 0.05 is rejecting it.

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# What does rejecting your null hypothesis mean?

Rejecting null hypothesis means that rumour of a fact is been experimented in d lab and the reseacher later discovered that hypothesis pseudo i.e fack fact but not a theory

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# How is the null hypothesis of the independent samples t test verbalized?

The independent t-test is used to determine whether there is a statistically significant difference between the averages (means) of two groups. The null hypothesis states that… there is no statistically significant difference between the two groups.

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# How is the null hypothesis used in hypothesis testing?

Statistical tests compare the observed (or more extreme) values against what would be expected if the null hypothesis were true. If the probability of the observation is high …you would retain the null hypothesis, if the probability is low you reject the null hypothesis. The thresholds for high or low probability are usually set arbitrarily at 5%, 1% etc. Strictly speaking, when rejecting the null hypothesis, you do not accept the alternative hypothesis because it is possible that neither are true and it is the model itself that is wrong.

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In Black Holes

# How can a hypothesis be proved?

Hypotheses can do one thing. They can be challenged. If they standup to the first challenge, they stand ready for the next one. Themore challenges they withstand, the more con…fidence we can havethat they reflect reality in some way. If they hold up for aconsiderable time, they may be thought of as theories. Depending onthe nature of the hypothesis or theory, there may never ever be astrong enough or decisive enough challenge made to topple it. Thisdoes not inherently mean that a successful challenge is not possible . Hypotheses about the existence or the location of a specificobservable thing or process may be able to be proven, in the sensethat the observable thing or process might be definitivelyuncovered. But theories about the most fundamental nature of thereal world are the more elusive kind mentioned above.