- Thread starter holleync
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In general, however, the null hypothesis is usually a statement of "equality" between 2 things or among 3 or more things. It also can be a statement of the "absence" of a significant effect, or the fact that a statistic is not significantly different from 0.

The alternative hypothesis is the "opposite" of the null hypothesis, and is what you are trying to show support for (i.e., if there is enough evidence to reject the null hypothesis).

Typically, the alternative hypothesis is a statement of "inequality" between 2 or among 3 or more things, or that an effect is significant, or that a statistic is significantly different from 0.

PiggyBank has narrowed its options down to two incentive plans: A. cash back when the consumer makes an online purchase; and B. cash back when the consumer makes a purchase at a clothing store. The bank doesn't know whether consumers would shop online more than at clothing stores.

Information Experts has placed you in a group to develop null and alternative hypotheses to help the bank determine which option would provide the best incentive to consumers. Work with your group members to develop the null and alternative hypotheses. As a group, write a brief memo to the PiggyBank product development team describing your hypotheses and explaining how you arrived at them.

Option A is 1.9%

Option B is between 5-10%

This was supposed to be a group project but my teamate has not participated to this point and I am at a loss

Is this an online stats class? I'm amazed at how often this "PiggyBank" problem has come up....