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Null Hypothesis Definition | Investopedia

Why the Null Hypothesis (H)?

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Null and Alternative Hypothesis | Real Statistics Using Excel

Depending on how you want to "summarize" the exam performances will determine how you might want to write a more specific null and alternative hypothesis. For example, you could compare the mean exam performance of each group (i.e., the "seminar" group and the "lectures-only" group). This is what we will demonstrate here, but other options include comparing the distributions, medians, amongst other things. As such, we can state:

Let's return finally to the question of whether we reject or fail to reject the null hypothesis.

Now that you have identified the null and alternative hypotheses, you need to find evidence and develop a strategy for declaring your "support" for either the null or alternative hypothesis. We can do this using some statistical theory and some arbitrary cut-off points. Both these issues are dealt with next.

What is a null hypothesis in layman's terms

Null hypotheses form part of the model of  formulated by  and followed in several branches of .

If experimental observations contradict the prediction of the null hypothesis, it means that either the null hypothesis is false, or we have observed an event with very low probability.

Alternatively, the null hypothesis can postulate that the two samples are drawn from the same population:The value of the null hypothesis is that it can be rejected with high probability, while non-null hypotheses cannot be confirmed with high probability.

Statistics: Null hypothesis - UC Davis Psychology

Colleges, universities, and language schools, all need qualified English teachers.

The inferential statistics do not directly address the testable statement (research hypothesis). They address the . Statistically, we test "not." Here are the null hypotheses:

On the other hand, the null hypothesis is straightforward -- what is the probability that our treated and untreated samples are from the same population (that the treatment or predictor has no effect)? There is only one set of statistical probabilities -- calculation of chance effects. Instead of directly testing H, we test H. If we can reject H, (and factors are under control), we can accept H. To put it another way, the fate of the research hypothesis depends upon what happens to H.

Indeed, in my opinion this is the number one argument against the"electric sun" hypothesis.
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  • Accept and Reject Null Hypothesis | eMathZone

    Not unusually, such a hypothesis states that the , or mathematical characteristics, of two or more are identical.

  • What is the NULL hypothesis for interaction in a two …

    Null Hypothesis

  • Find null hypothesis? | Yahoo Answers

    The null hypothesis is a hypothesis which the researcher tries to disprove, reject or nullify.

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03/06/2011 · Best Answer: What Is A Null Hypothesis

When considering whether we reject the null hypothesis and accept the alternative hypothesis, we need to consider the direction of the alternative hypothesis statement. For example, the alternative hypothesis that was stated earlier is:

P-value and null hypothesis? | Yahoo Answers

Generally, when comparing or contrasting groups (samples), the null hypothesis is that the difference between means (averages) = 0. For categorical data shown on a contingency table, the null hypothesis is that any differences between the observed frequencies (counts in categories) and expected frequencies are due to chance.

3-6-2011 · Best Answer: What Is A Null Hypothesis

So, you might get a p-value such as 0.03 (i.e., p = .03). This means that there is a 3% chance of finding a difference as large as (or larger than) the one in your study given that the null hypothesis is true. However, you want to know whether this is "statistically significant". Typically, if there was a 5% or less chance (5 times in 100 or less) that the difference in the mean exam performance between the two teaching methods (or whatever statistic you are using) is as different as observed given the null hypothesis is true, you would reject the null hypothesis and accept the alternative hypothesis. Alternately, if the chance was greater than 5% (5 times in 100 or more), you would fail to reject the null hypothesis and would not accept the alternative hypothesis. As such, in this example where p = .03, we would reject the null hypothesis and accept the alternative hypothesis. We reject it because at a significance level of 0.03 (i.e., less than a 5% chance), the result we obtained could happen too frequently for us to be confident that it was the two teaching methods that had an effect on exam performance.

Statistical hypothesis testing - Wikipedia

The (or hypotheses -- there may be more than one) is our working hypothesis -- our prediction, or what we expect to happen. It is also called the - because it is an alternative to the null hypothesis. Technically, the claim of the research hypothesis is that with respect to the outcome variable, our samples are from different populations (remember that refers to the group from which the sample is drawn). If we predict that math tutoring results in better performance, than we are predicting that after the treatment (tutoring), the treated sample truly is different from the untreated one (and therefore, from a different population).

Hypothesis Tests - Statistics and Probability

the opposite of the research hypothesis. The null hypothesis states that any effects observed after treatment (or associated with a predictor variable) are due to chance alone. Statistically, the question that is being answered is "If these samples came from the same population with regard to the outcome, how likely is the obtained result?"

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