A carbonated soft drink dispenser is used to fill cups with soft drinks. A random sample of 20 cups results in a sample variance of fill volume of s? = 0.0153. If the variance of fill volume exceeds 0.01, an unacceptable portion of cups will be under-filled or overfilled. Is there any evidence in the sample data to suggest that the manufacturer has a problem with under-filled or overfilled cups? Use a level of significance a = 0.05 and assume that fill volume has a normal distribution. а. The degrees of freedom is equal to: b. Based on the Chi-square table, the critical region is: С. The resulting chi-squared is equal to:
A carbonated soft drink dispenser is used to fill cups with soft drinks. A random sample of 20 cups results in a sample variance of fill volume of s? = 0.0153. If the variance of fill volume exceeds 0.01, an unacceptable portion of cups will be under-filled or overfilled. Is there any evidence in the sample data to suggest that the manufacturer has a problem with under-filled or overfilled cups? Use a level of significance a = 0.05 and assume that fill volume has a normal distribution. а. The degrees of freedom is equal to: b. Based on the Chi-square table, the critical region is: С. The resulting chi-squared is equal to:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![A carbonated soft drink dispenser is used to fill cups with soft drinks. A random sample of 20 cups results
in a sample variance of fill volume of s? = 0.0153. If the variance of fill volume exceeds 0.01, an
unacceptable portion of cups will be under-filled or overfilled. Is there any evidence in the sample data to
suggest that the manufacturer has a problem with under-filled or overfilled cups? Use a level of
significance a = 0.05 and assume that fill volume has a normal distribution.
а.
The degrees of freedom is equal to:
b.
Based on the Chi-square table, the critical region is:
С.
The resulting chi-squared is equal to:
d.
In conclusion,
[there is a strong evidence that the variance of fill volume exceeds 0.01]
O[there is no strong evidence that the variance of fill volume exceeds 0.01]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5fac0933-fd1e-4a9f-bd9f-76b7ccc3437c%2F289ae231-3d5a-4f26-9aff-b7391090a855%2F97x76y5_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A carbonated soft drink dispenser is used to fill cups with soft drinks. A random sample of 20 cups results
in a sample variance of fill volume of s? = 0.0153. If the variance of fill volume exceeds 0.01, an
unacceptable portion of cups will be under-filled or overfilled. Is there any evidence in the sample data to
suggest that the manufacturer has a problem with under-filled or overfilled cups? Use a level of
significance a = 0.05 and assume that fill volume has a normal distribution.
а.
The degrees of freedom is equal to:
b.
Based on the Chi-square table, the critical region is:
С.
The resulting chi-squared is equal to:
d.
In conclusion,
[there is a strong evidence that the variance of fill volume exceeds 0.01]
O[there is no strong evidence that the variance of fill volume exceeds 0.01]
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