Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted in errors listed below. What is the test statistic X, rounded to two decimal places? -43 77 -20 -75 -44 15 16 55 -7 -53 -108 -108 O A. 1185.68 B. 36.82 C. 20.13 O O D. 0.63

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Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted in errors listed below.

What is the test statistic , rounded to two decimal places?

 

-43

77

-20

-75

-44

15

16

55

-7

-53

-108

-108

  A.

1185.68

  B.

36.82

  C.

20.13

  D.

0.63

**Chi-Square Test for Aircraft Altimeter Errors**

Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted in errors listed below. 

**Error Values:**
- -43
- 77
- -20
- -75
- -44
- 15
- 16
- 55
- -7
- -53
- -108
- -108

**Question:**
What is the test statistic \( \chi^2 \), rounded to two decimal places?

**Options:**
A. 1185.68  
B. 36.82  
C. 20.13  
D. 0.63  

**Explanation:**
The question requires calculating the chi-square test statistic based on the given error values. This statistic is used to determine how observed values compare to expected values, especially in the context of testing the goodness-of-fit or whether distributions of categorical variables differ from a hypothesized distribution.
Transcribed Image Text:**Chi-Square Test for Aircraft Altimeter Errors** Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted in errors listed below. **Error Values:** - -43 - 77 - -20 - -75 - -44 - 15 - 16 - 55 - -7 - -53 - -108 - -108 **Question:** What is the test statistic \( \chi^2 \), rounded to two decimal places? **Options:** A. 1185.68 B. 36.82 C. 20.13 D. 0.63 **Explanation:** The question requires calculating the chi-square test statistic based on the given error values. This statistic is used to determine how observed values compare to expected values, especially in the context of testing the goodness-of-fit or whether distributions of categorical variables differ from a hypothesized distribution.
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