What does an alternative hypothesis suggest about the results of an experiment?

The alternative hypothesis is a statement used in statistical testing that suggests there is a significant effect or relationship present in the data being studied. It implies that the observed results are not simply due to random chance but rather are influenced by the experimental manipulation or treatment applied in the study. This means that the experiment itself is responsible for the changes or outcomes observed.

For example, if a researcher is testing a new drug, the alternative hypothesis would posit that the drug has a measurable impact on patients compared to a placebo. Thus, the alternative hypothesis plays a crucial role in guiding the research direction and statistical analysis, asserting that something noteworthy is occurring beyond mere chance.