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A factory manager needs to understand how many products are defective versus how many are produced. The number of expected defects is listed in Table.

A random sample was taken to determine the actual number of defects. Table 11.6 shows the results of the survey.

State the null and alternative hypotheses needed to conduct a goodness-of-fit test, and state the degrees of freedom.

Short Answer

Expert verified

\(H_{0}:\)The number of defaults fits expectations

\(H_{a}:\) The number of defaults does not fit expectations

\(df=4\)

Step by step solution

01

Step 1. Given information

A factory manager needs to understand how many products are defective versus how many are produced. The number of expected defects is listed in the below given table:

Number produced

Number defective

0 鈥 100

5

101 鈥 200

6

201 鈥 300

7

301 鈥 400

8

401 鈥 500

10

A random sample was taken to determine the actual number of defects. The given table shows the results of the survey;

Number produced

Number defective

0 鈥 100

5

101 鈥 200

7

201 鈥 300

8

301 鈥 400

9

401 鈥 500

11

02

Step 2. Calculation

The null hypothesis can be stated as:

\(H_{0}:\)The number of defaults fits expectations

And the alternative hypothesis can be stated as:

\(H_{a}:\) The number of defaults does not fit expectations

In the given case, it is best to apply goodness-of-fit test because all entries are greater than or equal to five.

Therefore, the degree of freedom can be calculated as shown below;

degree of freedom\(=df=number of cells -1\)

\(=5-1=4\)

The null hypothesis can be stated as:

\(H_{0}:\) The number of defaults fits expectations

And the alternative hypothesis can be stated as:

\(H_{a}:\) The number of defaults does not fit expectations

And the degree of freedom \(= 4\).

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