Imagine you are a product manager at Chips Amor Cookie Company and you want to test how accurate the claim is that your cookies have more chocolate chips than the those produced by a local grocery storebrand.

gather a team of consumers to compare the cookies. You give each participant a Chips Amor cookie in a bag labeled A and a local grocery store brand cookie in a bag labeled B. They are asked to count the number chips in each cookie. You have 30 participants.

• What parameters would they be comparing?
• How can you write a null hypothesis and an alternative hypothesis?
• What are the populations from which the samples came?
• Based on your hypothesis, is this a one-tailed or two-tailed test?

a null hypothesis and a research hypothesis:

• So, are the samples of cookies random?
• Are the two samples independent of each other?

Observer #	Cookie A	Cookie B
1	25	23
2	23	24
3	26	20
4	22	20
5	25	23
6	24	23
7	18	22
8	28	23
9	23	23
10	21	22
11	22	20
12	23	20
13	24	20
14	23	22
15	24	21
16	23	21
17	22	21
18	22	23
19	24	22
20	25	23
21	24	23
22	24	20
23	23	21
24	22	21
25	20	20
26	24	20
27	25	21
28	23	22
29	24	20
30	24	21

You need a histogram to see if your distribution is normal. Identify the p-value, the value of the test statistic (t-test).

What are results and your responses to the following:

• Explain what this data would mean to you as a product manager with Chips Amor.
• What other types of real-world conclusions could you make from this research?
• In what other situations do you think this type of data might be useful?
• Where have you seen this type of data/experiment used?