FOR QUESTIONS 37 41 PLEASE USE DATA BELOW Researchers suspected that attack of a plant by one organism induced resistance to subsequent attacks by a different organism To study this, 47individually potted cotton plants were randomly allocated to two groups infestation by spider mites or no infestation After two weeks the mites were removed by a research assistant, and both groups were inoculated with Verticillium, a fungus that causes Wilt disease Summarily, these are the results of their experiment Outcome Treatment Spider mites No spider mites Total Wilt disease 11 17 28 No Wilt disease 15 4 19 Total 26 21 47 Conduct a Chi squared test for independence by following the steps below You may refer to the R output below to answer the following questions chisq test( table(Mites) ) Pearson's Chi squared test with Yates' continuity correction data table(Mites) X squared 5 6885, df 1, p value 0 01708 chisq test( table (Mites) ) $expected outcome treatment no wilt wilt mites 10 510638 15 48936 no mites 8 489362 12 51064

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FOR QUESTIONS #37-#41 PLEASE USE DATA BELOW Researchers suspected that attack of a plant by one organism induced resistance to subsequent attacks by a different

FOR QUESTIONS #37-#41 PLEASE USE DATA BELOW

Researchers suspected that attack of a plant by one organism induced resistance to subsequent attacks by a different organism. To study this, 47individually potted cotton plants were randomly allocated to two groups: infestation by spider mites or no infestation. After two weeks the mites were removed by a research assistant, and both groups were inoculated with Verticillium, a fungus that causes Wilt disease.

Summarily, these are the results of their experiment:

Outcome \ Treatment	Spider mites	No spider mites	Total
Wilt disease	11	17	28
No Wilt disease	15	4	19
Total	26	21	47

Conduct a Chi-squared test for independence by following the steps below. You may refer to the R output below to answer the following questions.

> chisq . test( table(Mites) ) Pearson's Chi-squared test with Yates' continuity correction data: table(Mites) X- squared = 5.6885, df = 1, p-value = 0.01708 > chisq . test( table (Mites) ) $expected outcome treatment no wilt wilt mites 10.510638 15.48936 no mites 8. 489362 12.51064