If a researcher demands a very high standard of significance,he may make a mistake,saying there is no relationship in the population when in reality one exists.

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By demanding a very high standard of significance, the researcher may set a level of rejection of the null hypothesis that is too extreme. As a result, even if there is a small but true relationship in the population, the sample data may not be significant enough to reach this level of rejection and the null hypothesis is accepted. This would lead to a Type II error, which is failing to reject a false null hypothesis. Therefore, the researcher may mistakenly conclude that there is no relationship in the population when in reality one exists.

If a Researcher Demands a Very High Standard of Significance,he