Chapter 11: Problem 2
Find the value of \(\chi^{2}\) for 12 degrees of freedom and an area of \(.025\) in the right tail of the chi-square distribution curve.
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Chapter 11: Problem 2
Find the value of \(\chi^{2}\) for 12 degrees of freedom and an area of \(.025\) in the right tail of the chi-square distribution curve.
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Determine the value of \(\chi^{2}\) for 14 degrees of freedom and an area of \(.10\) in the left tail of the chisquare distribution curve.
National Electronics Company buys parts from two subsidiaries. The quality control department at this company wanted to check if the distribution of good and defective parts is the same for the supplies of parts received from both subsidiaries. The quality control inspector selected a sample of 300 parts received from Subsidiary A and a sample of 400 parts received from Subsidiary \(B\). These parts were checked for being good or defective. The following table records the results of this investigation. \begin{tabular}{lcc} \hline & Subsidiary A & Subsidiary B \\ \hline Good & 284 & 381 \\ Defective & 16 & 19 \\ \hline \end{tabular} Using the \(5 \%\) significance level, test the null hypothesis that the distributions of good and defective parts are the same for both subsidiaries.
Describe in your own words a test of independence and a test of homogeneity. Give one example of each.
A drug company is interested in investigating whether the color of their packaging has any impact on sales. To test this, they used five different colors (blue, green, orange, red, and yellow) for the boxes of an over-the- counter pain reliever, instead of their traditional white box. The following table shows the number of boxes of each color sold during the first month.
To make a goodness-of-fit test, what should be the minimum expected frequency for each category? What are the alternatives if this condition is not satisfied?
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