Jackson's goal is to test whether the proportion of red candies is different from the company's claimed proportion of 20%. Therefore, he is testing if the actual proportion is equal to 0.20 or if it is different from 0.20.

• The null hypothesis represents the statement being tested, usually assuming no difference or status quo (in this case, the company's claim that the proportion is 20%).
• The alternative hypothesis represents a deviation from this status quo (in this case, Jackson's question whether the proportion of red candies is different from 20%).

The correct formulation would be:

Null hypothesis (H₀): $p = 0.20$ (The proportion of red candies is equal to 20%, as claimed by the company.)

Alternative hypothesis (H₁): $p \neq 0.20$ (The proportion of red candies is different from 20%.)

Thus, the correct answer is:

A.) Null hypothesis: p equals 0.20; Alternative hypothesis: p not equal to 0.20

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Would you like more details or have any questions?

Here are 5 related questions for further exploration:

1. What is the significance level in hypothesis testing?
2. How do you calculate a p-value for a hypothesis test?
3. What are Type I and Type II errors in hypothesis testing?
4. How can Jackson collect data for his hypothesis test on red candies?
5. What are the steps for conducting a hypothesis test for proportions?

Tip: Always check the assumptions of your hypothesis test, like sample size and randomness, to ensure valid results!