# 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) f…or two or 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. I spend countless hours looking for answers as you did here. I found a source with accurate information and gives you what you are really looking for, plus a way to drive your projects with a mentor

# What is a null hypothesis?

The null hypothesis is the statement that there is no relationship between 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.

# Can you accept and reject the null Hypothesis Why or why not?

Some people say you can either accept the null hypothesis or reject it. However, there are statisticians that insist you can either reject it or fail to reject it, but you… can't accept it because then you're saying it's true. If you fail to reject it, you're only claiming that the data wasn't strong enough to convince you to choose the alternative hypothesis over the null hypothesis.

# Reject or accept null hypothesis F-test?

F-test results will determine if the null hypothesis will be rejected or accepted. All test are ran with the assumption that the null 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.

# When should you accept a null hypothesis?

The null hypothesis cannot be accepted. Statistical tests only check whether differences in means are probably due to chance differences in sampling (the reason variance is so… important). So if the p-value obtained by the data is larger than the significance level against which you are testing, we only fail to reject the null. If the p-value is lower than the significance level, the null hypothesis is rejected in favor of the alternative hypothesis.

# The null hypothesis for an anova states that?

The null hypothesis for a 1-way ANOVA is that the means of each subset of data are the same.

# When can a null hypothesis be rejected?

Usually when the test statistic is in the critical region.

# 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.

Answered

# 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!

Answered

In Science

# 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.

Answered

In Science

# 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.

Answered

# 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.

Answered

# How can a hypothesis be proved?

Hypotheses can do one thing. They can be challenged. If they stand up to the first challenge, they stand ready for the next one. The more challenges they withstand, the mo…re confidence we can have that they reflect reality in some way. If they hold up for a considerable time, they may be thought of as theories. Depending on the nature of the hypothesis or theory, there may never ever be a strong enough or decisive enough challenge made to topple it. This does not inherently mean that a successful challenge is not possible. Hypotheses about the existence or the location of a specific observable thing or process may be able to be proven, in the sense that the observable thing or process might be definitively uncovered. But theories about the most fundamental nature of the real world are the more elusive kind mentioned above.