Economic importance nature of the damage done by Busseola fusca and Chilo partellus to maize production. Site and reference your work in Havard style. Your sources must be from journals and books published from 2021 till now.
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Maize is a staple food crop and a significant source of income for many farmers, especially in sub-Saharan Africa. It is used for human consumption, animal feed, and as a raw material in various industries. Understanding its economic importance helps to Show more…
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Crop damage by wild boars. Refer to the Current Zoology (Apr. 2014 ) study of crop damage incurred by wild boars in southern Italy, Exercise 3.18 (p. 158 ). If crop damage by wild boars occurs, the probability that the type of crop damaged is cereals is .45 , legumes .20 , and orchards .05. In a random sample of 100 crop damage incidents caused by wild boars, what is the probability that at least 50 incidents involve a. cereal crops? b. legumes? c. orchards?
Crop damage by wild boars. The level of crop damage by wild boars in southern Italy was investigated in Current Zoology (Apr. 2014). In the study, crop damage occurred when the wild boars partially or completely destroyed agricultural crops in privately owned lands. The researchers identified 157 incident of crop damage in the study area caused by wild boars over a five-year period. The accompanying table gives the types of crops destroyed and corresponding percentage of incident. Consider the type of crop damaged by wild boars for one randomly selected incident. $$ \begin{array}{lc} \hline \text { Type } & \text { Percentage } \\ \hline \text { Cereals } & 45 \% \\ \text { Orchards } & 5 \\ \text { Legumes } & 20 \\ \text { Vineyards } & 15 \\ \text { Other crops } & 15 \\ \hline \text { TOTAL } & 100 \% \\ \hline \end{array} $$ a. List the possible outcomes of this experiment. b. Assign reasonable probabilities to the outcomes. c. What is the probability that cereals or orchards are damaged? d. What is the probability that a vineyard is not damaged?
Historically, about 12% of Canada's wheat crop is destroyed by hail, every year. An insurance company is studying damage to wheat crops in parts of Saskatchewan. A random sample of 10 claims from the region gave the following percentages of wheat lost to hail damage. 13 10 15 13 22 14 11 18 16 10 (a) If we can assume that the percentage of crop damage due to hail is normally distributed with a standard deviation of 3%, conduct a full hypothesis test to determine if the insurance claims reflect a significant increase over previous years at a significance level of 0.05. The test must include: The null and alternate hypotheses, the type of test, the test statistic, the p-value, a decision and a conclusion in the context of the situation. Use the p-value approach. (b) If the standard deviation for the population is not known, but we can assume that the population is normally distributed, construct a 95% confidence interval for the mean percentage of wheat damage due to hail. Interpret the result. (c) If the standard deviation for the population is not known, and we can assume that the population is normally distributed, conduct a full hypothesis test to determine if the insurance claims for this year reflect a difference from previous years at a significance level of α = 0.05. The test must include the null and alternate hypotheses, the type of test, the test statistic, the critical value from the appropriate distribution, a decision and a conclusion in the context of the situation. Use the critical value approach and sketch a curve showing the areas involved in the test. (d) From the results for parts (a), (b) and (c), what would you conclude overall about the amount of damage to wheat crops due to hail in Saskatchewan?
Kari H.
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