Visualizing Statistical PrecisionEach graph below shows a scatter plot of an outcome (y or w) over x. The red circles represent the sample means of the two groups. Both graphs have 50 observations in the 0-group and 50 observations in the 1-group and the axes on both graphs are identical. The difference between group averages is also the same (group-1 average is 37 higher than group-0). Below are the results of t-tests for the difference in means for each outcome. The results are in no particular order.Results 1 group-1 meangroup-0 meandifferencestandard errort-statp-value 182145375.76.49<0.001 Results 2 group-1 meangroup-0 meandifferencestandard errort-statp-value 1821453712.13.060.003 Which results correspond to the difference in means for outcome y?a. Results 1b. Results 2c. Not enough information to determine XBelow are the results of t-tests for the difference in means for each outcome. The results are in noparticular order.Results 1group-1 group-0standarddifferencet-statp-valuemeanmeanerror182145375.76.49<0.001Results 2group-1 group-0standarddifferencet-statp-valuemeanmeanerror1821453712.13.060.003150 200 250 300 350001 09300 350

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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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Visualizing Statistical Precision

Each graph below shows a scatter plot of an outcome (y or w) over x. The red circles represent the sample means of the two groups. Both graphs have 50 observations in the 0-group and 50 observations in the 1-group and the axes on both graphs are identical. The difference between group averages is also the same (group-1 average is 37 higher than group-0).

Below are the results of t-tests for the difference in means for each outcome. The results are in no particular order.

Results 1	group-1 mean	group-0 mean	difference	standard error	t-stat	p-value
	182	145	37	5.7	6.49	<0.001

Results 2	group-1 mean	group-0 mean	difference	standard error	t-stat	p-value
	182	145	37	12.1	3.06	0.003