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
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Chapter1: Starting With Matlab
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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
n- 100
200
75
50
100
25
0.00 025 0.50
0.75
03
04
0.5
Bootstrapped proportion
Bootstrapped proportion
C
D.
n- 1000
n- 500
75
25
0.36
G40
044
0.3 0.38 0.40042 044 046
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. Datasets A, B, C,
T=0.25
and D
T=0.45
C. Datasets A and B
TT=0.55
d.
None
TT=0.75
e. Datasets A, B, and
junoo
Junoo
Junoo
Transcribed Image Text: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 n- 100 200 75 50 100 25 0.00 025 0.50 0.75 03 04 0.5 Bootstrapped proportion Bootstrapped proportion C D. n- 1000 n- 500 75 25 0.36 G40 044 0.3 0.38 0.40042 044 046 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. Datasets A, B, C, T=0.25 and D T=0.45 C. Datasets A and B TT=0.55 d. None TT=0.75 e. Datasets A, B, and junoo Junoo Junoo
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