Which of the following could represent the effects of an asset exchange transaction on a company's financial statements? 
Definitions:
Null Hypothesis
A hypothesis used in statistics that proposes no significant difference or effect between specified populations, conditions, or variables.
Type II Error
A Type II Error occurs in hypothesis testing when a false null hypothesis is not rejected, meaning a real effect or difference was missed.
Null Hypothesis
A statement used in statistics that suggests there is no significant difference or effect, serving as the default assumption to be tested.
Type I Error
The error of rejecting the null hypothesis when it is true, often referred to as a "false positive."
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