What do the results indicate?O A. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigation yieldthe same mean poplar weight.OB. Reject H₁. There is sufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigation yield thesame mean poplar weight.O C. Fail to reject Ho. There is insufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigationyield the same mean poplar weight.O D. Reject Ho. There is insufficient evidence to warrant rejection of the claim that the irrigation treatment group and the group treated with both fertilizer and irrigation yield thesame mean poplar weight. The accompanying data are the weights (kg) of poplar trees that were obtained from trees planted in a rich and moist region. The trees were given different treatments identified inthe accompanying table. Also shown are partial results from using the Bonferroni test with the sample data. Complete parts (a) through (c).c. Use the Bonferroni test procedure with a 0.10 significance level to test for a significant difference between the mean amount of the irrigation treatment group and the grouptreated with both fertilizer and irrigation. Identify the test statistic and the P-value. What do the results indicate?The test statistic is(Round to two decimal places as needed.)Find the P-value.P-value (Round to three decimal places as needed.)=No Treatment1.260.420.660.091.23(1) TREATMENT1.00Fertilizer0.810.790.440.611.06Irrigation0.090.530.110.820.83Bonferroni ResultsMean(J) TREATMENT Difference (I-J)2.003.004.00-0.01000.2560-0.9140Fertilizer and Irrigation0.89Std. Error0.260370.260370.260371.711.472.371.79Sig.1.0001.0000.023

The data values provided are:No treatmentFertilizerIrrigationFertilizer and…

Answered: e accompanying table. Also shown are…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different regions? Given that the amounts of arsenic in the samples from region C have the highest mean, can we conclude that brown rice from region C poses the greatest health problem? view the data table of the arsenic amounts. Arsenic Amounts (micrograms) A 4.9 4.9 4.9 5.2 5.3 5.5 5.6 5.7 5.8 5.9 6.1 6.3 B 2.3 3.6 4.5 4.6 4.8 4.8 4.8 5.1 5.1 5.4 5.4 5.5 C 5.7 5.7 6.7 6.9 7.1 7.2 7.2 7.3 7.3 7.4 7.5 7.6 What are the hypotheses to test? H0: mu 1 equals mu 2 equals mu 3μ1=μ2=μ3 H1: At least one…
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You are doing a one way analysis of variance on the fuel consumption of different makes of cars. You measure the fuel consumption of 60 cars in total. The number of car makes is 6 for this experiment. The data is given below: Source Sum of squares Treatments 206.56 Errors 40.19 Find the mean squared for treatment. Give your answer to 2 decimal places.
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Directions. Locate the following percentiles under the normal curve. Sketch its figure on the normal curve and find the ? value corresponding to each of the given information.

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