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A company is started by four friends. The company was Erica’s idea, so she wants to fill 70% of the orders. Jen, Heather, and Tonya each agree to fill 10% of the orders. After a successful first year, Erica wants to determine if the distribution of the number of orders filled is adhering to the agreed-upon percentages. She decides to test:

To do so, she selects a random sample of 100 orders from the large number of orders that were filled and determines who filled the order. She finds that Erica filled 56 orders, Jen filled 18, Heather filled 14, and Tonya filled 12. The chi-square test statistic for goodness of fit is χ2 = 11.20 and the P-value is between 0.01 and 0.02.

Because the P-value is less than 0.05, Erica rejects the null hypothesis. Because the null hypothesis is rejected, she would like to know which term contributed the significance of the test. Complete a follow-up analysis. Which term contributed the most to the significance of this test? Were there more or fewer orders being filled by this person than expected?

Erica, more than expected
Erica, fewer than expected
Jen, more than expected
Jen, fewer than expected

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The appropriate hypotheses for this test are

Erica filled 70

Jen filled 10

Heather filled 10

Tonya filled 10

A company is started by four friends.

The company was Erica’s idea,

So she wants to fill 70% of the orders. Jen, Heather, and Tonya each agree to fill 10% of the orders.

What is the meaning of the hypothesis?

A hypothesis is a statement that proposes a result that will be tested to get a verified result.

A hypothesis is not hundred percent true, that is why it is always put to test.

The hypothesis is singular while the hypothesis is plural.

Making a hypothesis in this case is an attempt to predict an answer or result that will be verified by doing the experiment.

We can conclude by saying that a hypothesis is not hundred percent true.