Identify the strength of correlation of the two variables in each statement, then, at a 5% level of significance, perform a hypothesis test using Pearson's r or Spearman's rank correlation coefficient. I. A group of twelve (12) children participated in a psychological study designed to assess the relationship, if any, between age (years) and average total sleep time (minutes). To obtain a measure for average total sleep time, recordings were taken on each child on five consecutive nights and then averaged. The results obtained are shown in the table. Child Age (years) ATST (Minutes) A 4.4 586 4.9 565 11.9 515 D 9.6 532 12.4 478 F 5.5 560 G 11.1 493 8.6 533 14 575 13.7 490 K 8.1 530 L 7.9 515 Test whether the linear relationship in this sample data effectively models the relationship in the population.
Identify the strength of correlation of the two variables in each statement, then, at a 5% level of significance, perform a hypothesis test using Pearson's r or Spearman's rank correlation coefficient. I. A group of twelve (12) children participated in a psychological study designed to assess the relationship, if any, between age (years) and average total sleep time (minutes). To obtain a measure for average total sleep time, recordings were taken on each child on five consecutive nights and then averaged. The results obtained are shown in the table. Child Age (years) ATST (Minutes) A 4.4 586 4.9 565 11.9 515 D 9.6 532 12.4 478 F 5.5 560 G 11.1 493 8.6 533 14 575 13.7 490 K 8.1 530 L 7.9 515 Test whether the linear relationship in this sample data effectively models the relationship in the population.
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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