In an agronomic field experiment, 4 blocks of land were each subdivided in to two plots, each of equal area. Each block provided two paired observations: one for each of the varieties of wheat. The sample means are 31.52 lbs. and 33.17 lbs., giving rise to the mean difference of-l .65 lbs. The difference has a sample standard deviation of 0.68 lb. For testing equality of the two population means, what would be the computed statistic? A. -4.85
In an agronomic field experiment, 4 blocks of land were each subdivided in to two plots, each of equal area. Each block provided two paired observations: one for each of the varieties of wheat. The sample means are 31.52 lbs. and 33.17 lbs., giving rise to the mean difference of-l .65 lbs. The difference has a sample standard deviation of 0.68 lb. For testing equality of the two population means, what would be the computed statistic? A. -4.85
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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In an agronomic field experiment, 4 blocks of land were each subdivided in to two plots, each of
equal area. Each block provided two paired observations: one for each of the varieties of
wheat. The sample means are 31.52 lbs. and 33.17 lbs., giving rise to the
of-l .65 lbs. The difference has a sample standard deviation of 0.68 lb. For testing equality
of the two population means, what would be the computed statistic?
A. -4.85
B. -2.43
C. -1.21
D. -0.61
2.What would be your decision using classical approach for problem no. 15 above for testing
if mean weights of the two varieties are equal? (assume level of significance = 5%)
A. The computed test statistic falls in the rejection region and so we do not reject the null hypothesis
B. The computed test statistic falls in the rejection region and so we reject the null hypothesis
C. The computed test statistic does not fall in the rejection region and so we do not reject the null hypothesis
D. The computed test statistic does not fall in the rejection region and so we reject the null hypothesis
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