document.write( "Question 1193955: A machine is supposed to mix peanuts, hazelnuts, cashews, and pecans in
\n" ); document.write( "the ratio 5:2:2:1. A can containing 500 of these mixed nuts was found to
\n" ); document.write( "have 269 peanuts, 112 hazelnuts, 74 cashews, and 45 pecans. At the 0.05
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\n" ); document.write( "the machine is mixing the nuts in the ratio 5:2:2:1. State the Null and
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Algebra.Com's Answer #848548 by parmen(42)\"\" \"About 
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**Test to be used:**\r
\n" ); document.write( "\n" ); document.write( "The appropriate test for this scenario is the **Chi-Square Goodness-of-Fit Test**. This test is used to determine if the observed frequencies of different categories in a sample significantly differ from the expected frequencies under a specific hypothesis.\r
\n" ); document.write( "\n" ); document.write( "**Null and Alternative Hypotheses:**\r
\n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H0):** The machine is mixing the nuts in the expected ratio of 5:2:2:1.
\n" ); document.write( "* **Alternative Hypothesis (H1):** The machine is not mixing the nuts in the expected ratio of 5:2:2:1.\r
\n" ); document.write( "\n" ); document.write( "**In essence:**\r
\n" ); document.write( "\n" ); document.write( "* The null hypothesis states that the observed frequencies of peanuts, hazelnuts, cashews, and pecans in the can are consistent with the expected ratio.
\n" ); document.write( "* The alternative hypothesis states that the observed frequencies are significantly different from the expected ratio, suggesting that the machine is not mixing the nuts correctly.
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