Each of the following four bootstrap distributions was created using a different dataset. Each dataset had the same proportion of successes 6= 0.4 but a different sample size n, which is indicated above each distribution. A n- 10 B n- 100 200 75 100 28 00 025 050 075 03 Bootstrapped proportion Bootstrapped proportion D n- 1000 n- 500 75 25 040 042 044 4 Bootstrapped proportion Bootstrapped proportion Consider each of the following possible values for the true population parameter T. Match each possible parameter value with the datasets which could plausibly have come from that population. (Hint: you might not use all the possible matches.) a. v T=0.05 a. Dataset A b. T=0.25 Datasets A, B, C, and D n=0.45 C. Datasets A and B T=0.55 d. None T=0.75 e. Datasets A, B, and C
Each of the following four bootstrap distributions was created using a different dataset. Each dataset had the same proportion of successes 6= 0.4 but a different sample size n, which is indicated above each distribution. A n- 10 B n- 100 200 75 100 28 00 025 050 075 03 Bootstrapped proportion Bootstrapped proportion D n- 1000 n- 500 75 25 040 042 044 4 Bootstrapped proportion Bootstrapped proportion Consider each of the following possible values for the true population parameter T. Match each possible parameter value with the datasets which could plausibly have come from that population. (Hint: you might not use all the possible matches.) a. v T=0.05 a. Dataset A b. T=0.25 Datasets A, B, C, and D n=0.45 C. Datasets A and B T=0.55 d. None T=0.75 e. Datasets A, B, and C
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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