A company needs to determine the optimum power and time sett

A company needs to determine the optimum power and time settings for their new licorice-flavored popcorn. They want to find a combination of power and time that delivers high-quality popcorn with less than 12% of the kernels left unpopped, on average a value hat their market research says is demanded by their customers. their research department experiments with several settings and determines that power 9 at 4 minutes is optimum. Their tests confirms that this setting meets the less than 12% requirement. They change the instructions on the box and promote a new money back guarantee of less than 12% unpopped kernels. Complete parts A and B.

(Yes/No), there (is/is not) enough evidence to conclude that (more than/exactly/less than) 12% of the kernels were left unpopped. The company should (reject/fail to reject) the null hypothesis.

A company needs to determine the optimum power and time settings for their new licorice-flavored popcorn. They want to find a combination of power and time that delivers high-quality popcorn with ess than 12% of the kernels left unpopped, on average a value that ther market research says is demanded by ther customers Their research department experiments with several settings and determines that power 9 at 4 minutes is optimum. er tests con rm hat this setting meets the less than 12% requirement ey change the instructions on the box and promote a new money back guarantee of less than 12% unpopped kernels. Complete parts (a) and (b). a) lf, in fact, the set ng results n more than 12% kernels unpopped what and of error have they made? what will the consequence be for the company? What are the mull and alternative hypotheses in this case? OA Ho: > 12 vs. HA: = 12 Ob. Ho: 12 vs. HA: >12 OC. Ho:

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