Since the article reported that 56% of business students admitted to cheating at some time during their academic career, you want to establish a hypothesis test to determine if the students at Bayview cheat at a rate less than 56%. What are the appropriate hypotheses for this test?

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.

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explanation:

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