The figure shows the graph of the results of 500 samples of size 30 in which the proportion of articles that passed a quality review was measured. Consider these (empirical) results in relation to an approximation based on the Central Limit Theorem (TCL) under the assumption that the population proportion of articles that satisfy the quality test is 0.7. Check the correct expressions. 040 0.30 025 f relativ 020- 015 00s 0.32 0.40 0.48 0.56 064 0.72 0.80 Value of p Empirical data indicate that the population proportion of articles that satisfy the quality test should be less than 0.7 The Central Limit Theorem is not applicable in this case In the empirical distribution, a probability that less than 48% of articles are registered in a sample fulfilling the quality test is lower than that indicated by the TCL approximation. The approximation through the TCL indicates that the probability of observing more than 72% of articles satisfying the quality test is much higher than that obtained empirically.

The figure shows the graph of the results of 500 samples of size 30 in which the proportion of articles that passed a quality review was measured. Consider these (empirical) results in relation to an approximation based on the Central Limit Theorem (TCL) under the assumption that the population proportion of articles that satisfy the quality test is 0.7. Check the correct expressions. 040 0.30 025 f relativ 020- 015 00s 0.32 0.40 0.48 0.56 064 0.72 0.80 Value of p Empirical data indicate that the population proportion of articles that satisfy the quality test should be less than 0.7 The Central Limit Theorem is not applicable in this case In the empirical distribution, a probability that less than 48% of articles are registered in a sample fulfilling the quality test is lower than that indicated by the TCL approximation. The approximation through the TCL indicates that the probability of observing more than 72% of articles satisfying the quality test is much higher than that obtained empirically.

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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