document.write( "Question 1193687: A genetic experiment involving peas yielded one sample of offspring consisting of 440 green peas and 154 yellow peas. Use
\n" ); document.write( "a 0.05 significance level to test the claim that under the same circumstances, 23% of offspring peas will be yellow. Identify the
\n" ); document.write( "null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial
\n" ); document.write( "distribution.\r
\n" ); document.write( "\n" ); document.write( "What are the null and alternative hypotheses?\r
\n" ); document.write( "\n" ); document.write( "What is the test statistic?\r
\n" ); document.write( "\n" ); document.write( "What is the P value?\r
\n" ); document.write( "\n" ); document.write( "What is the conclusion about the null hypothesis?
\n" ); document.write( "A:Reject the hypothesis because the P-value is less than or equal to the significance level, a .
\n" ); document.write( "B: Fail to reject the null hypothesis because the P-value is greater than the significance level, a
\n" ); document.write( "C:Fail to reject the null hypothesis because the P-value is less than or equal to the significance level, a . D:Reject the null hypothesis because the P-value is greater than the significance level, a \r
\n" ); document.write( "\n" ); document.write( "What is the final conclusion?
\n" ); document.write( "A:There is not sufficient evidence to warrant rejection of the claim that 23% of offspring peas will be yellow
\n" ); document.write( " B: There is sufficient evidence to warrant rejection of the claim that 23% of offspring peas will be yellow C: There is sufficient evidence to support the claim that less than 23% of offspring peas will be yellow D:There is not sufficient evidence to support the claim that less than 23% of offspring peas will be yellow
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Algebra.Com's Answer #825716 by Boreal(15235)\"\" \"About 
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Ho: <=23% of peas are
\n" ); document.write( "Ha: >23% of peas are yellow
\n" ); document.write( "alpha=0.05 for this one way test prob {reject Ho|Ho true}
\n" ); document.write( "-
\n" ); document.write( "normal approximation has mean np=136.62
\n" ); document.write( "variance is np(1-p)=105.20
\n" ); document.write( "sd is sqrt (V)=10.26
\n" ); document.write( "found 154
\n" ); document.write( "so z=(153.5-136.62)/10.256 using the continuity correction factor.
\n" ); document.write( "=1.645
\n" ); document.write( "probability z is >1.645 is 0.050. This is a one way test, so will be half the p-value of a two way. \r
\n" ); document.write( "\n" ); document.write( "The answers to the multiple choice questions are A and B. One rejects Ho and concludes that there is sufficient evidence to warrant the claim that 23% of the peas are not yellow. \r
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\n" ); document.write( "\n" ); document.write( "The way I would do this is with a one-sample two way proportion test
\n" ); document.write( "Ho: p=0.23
\n" ); document.write( "Ha: P NE 0.23
\n" ); document.write( "alpha-0.05 p{reject Ho|Ho true}
\n" ); document.write( "test statistic is a z=(p hat-p)/sqrt(0.23*0.77/594)
\n" ); document.write( "critical value is |z|>1.96
\n" ); document.write( "p hat=0.02593
\n" ); document.write( "z= 0.0293/0.0173=1.693
\n" ); document.write( "fail to reject Ho, p-value is 0.090. Two-way tests double the p-value of one way, since both sides have areas in the rejection region. This is more exact.\r
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