Answer:
Null hypothesis: The rate at which students at Bayview cheat is 56%.
Alternate hypothesis: The rate at which students at Bayview cheat is less than 56%.
Explanation:
A null hypothesis is a statement from a population parameter which is either rejected or accepted (fail to reject) upon testing. It is expressed using the equality sign.
An alternate hypothesis is also a statement from a population parameter which negates the null hypothesis and is accepted if the null hypothesis is rejected. It is expressed using any of the inequality signs.