machine company supplies a tool for pouring cold medicine into bottles in such a way that the standard deviation of the contents is 4.45g. A new filling process is tested on 82 bottles and the standard deviation for this sample is 3.62 g. Use a 0.10 significance level to test the claim that the new process dispenses amounts with a standard deviation less than the standard deviation of 4.45 g for the old process. Is the new process better in the sense of dispensing amounts that are more​ consistent? Assume that a simple random sample is selected from a normally distributed population. What are the correct hypotheses for this​ test?   Calculate the value of the test statistic. ​(Round to two decimal places as​ needed.)   Use technology to determine the​ P-value for the test statistic. ​(Round to three decimal places as​ needed.)   What is the conclusion at the 0.10 level of​ significance?

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A machine company supplies a tool for pouring cold medicine into bottles in such a way that the standard deviation of the contents is 4.45g. A new filling process is tested on 82 bottles and the standard deviation for this sample is 3.62 g. Use a 0.10 significance level to test the claim that the new process dispenses amounts with a standard deviation less than the standard deviation of 4.45 g for the old process. Is the new process better in the sense of dispensing amounts that are more​ consistent? Assume that a simple random sample is selected from a normally distributed population.

What are the correct hypotheses for this​ test?

 

Calculate the value of the test statistic.

​(Round to two decimal places as​ needed.)

 

Use technology to determine the​ P-value for the test statistic.

​(Round to three decimal places as​ needed.)

 

What is the conclusion at the 0.10 level of​ significance?

Since the​ P-value is……. …the level of​ significance,……….the null hypothesis. There………sufficient evidence to conclude that the sample is from a population with a standard deviation less than…..g.

Since the conclusion is that standard deviation for the new process….ess, the new process…..better.

 

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