One-sided tests have been proposed for such circumstances.

A one-sided alternative hypothesis (also known as a directional hypothesis) can be used because the researcher is specifically hypothesizing that scores for trained students are greater than the national average.

A one-sided test puts all of the probability into a single tail.

Dallal, PhDOne common criticism of significance tests is that no null hypothesis is ever true.
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{-}$ from the one-sided Kolmogorov-Smirnov Test?

In this case, we would say we’ve performed a one-sided test, because we determined in advance that only values greater than 0.5 would cause us to reject the null hypothesis.

Note: If you had been testing the two-sided alternative,

In the output above, Minitab reports that the P-value is 0.158. Since the P-value, 0.158, is greater than α = 0.05, the quality control specialist fails to reject the null hypothesis. There is insufficient evidence, at the α = 0.05 level, to conclude that the mean thickness of all pieces of spearmint gum differs from 7.5 one-hundredths of an inch.

One-tailed tests make it easier to reject the null hypothesis when the alternative is true.
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What's the null hypothesis in a one-sided Kolmogorov-Smirnov test

The null hypothesis of equal effectiveness is The alternative hypothsis states that the difference can be in only one direction For example, an investigator might propose using a one-tailed test to test the efficacy of a cholesterol lowering drug because the drug cannot raise cholesterol.

Hypothesis Testing – One Tailed Tests Examples (Null …

With a one-tailed test, the hypothesis of no difference is rejected if and only if the subjects taking the drug have cholesterol levels significantly lower than those of controls.

DEFINITION One sided alternative hypothesis and two sided ..

The p-value as or more extreme by chance alone if your null hypothesis is true. This p-value is determined based on the result of your test statistic. Your conclusions about the hypothesis are based on your p-value and your significance level.

One can never prove the truth of a statistical (null) hypothesis.

The engineer entered his data into Minitab and requested that the "one-sample t-test" be conducted for the above hypotheses. He obtained the following output:

One tail test at ALPHA = .01, therefore Z = 2.33.

The biologist entered her data into Minitab and requested that the "one-sample t-test" be conducted for the above hypotheses. She obtained the following output:

Alternative names are one-sided and two ..

In this case, the difference scores di = x2i - x1i can be computed and a one-sample test performed using thenull hypothesis that the mean of the difference is not significantly different than zero:


The alternative hypothesis is


Example: A sample of houses is chosen.