Question

Each of the following four distributions was created using a different dataset. Each dataset was based on n = 23 observations. A 250 B 150 200 Count 150 100 Count 100 50 50 0 0 0.0 0.1 0.2 0.3 0.4 0.2 0.4 0.6 Bootstrapped proportion Bootstrapped proportion C D 200 150 150 Count 100 50 Count 100 50 0 0 0.0 0.2 0.4 0.6 0.8 0.0 0.2 0.4 Bootstrapped proportion Bootstrapped proportion Consider each of the following values for the true population p (proportion of success). Datasets A, B, C, D were bootstrapped 1000 times, with bootstrap proportions as given in the histograms provided. For each parameter value, list the datasets which could plausibly have come from that population. (Hint: there may be more than one dataset for each parameter value.) a. p = 0.05 Histogram A Histogram B Histogram C Histogram D None b. p = 0.25 Histogram A Histogram B Histogram C Histogram D None c. p = 0.45 Histogram A Histogram B Histogram C Histogram D None d. p = 0.55 Histogram A Histogram B Histogram C Histogram D None e. p = 0.75 Histogram A Histogram B Histogram C Histogram D None

          Each of the following four distributions was created using a different dataset. Each dataset was
based on n = 23 observations.
A
250
B
150
200
Count
150
100
Count
100
50
50
0
0
0.0 0.1 0.2 0.3 0.4
0.2
0.4
0.6
Bootstrapped proportion
Bootstrapped proportion
C
D
200
150
150
Count
100
50
Count
100
50
0
0
0.0
0.2
0.4
0.6
0.8
0.0
0.2
0.4
Bootstrapped proportion
Bootstrapped proportion
Consider each of the following values for the true population p (proportion of success). Datasets A,
B, C, D were bootstrapped 1000 times, with bootstrap proportions as given in the histograms
provided. For each parameter value, list the datasets which could plausibly have come from that
population. (Hint: there may be more than one dataset for each parameter value.)
a. p = 0.05
Histogram A Histogram B Histogram C Histogram D None
b. p = 0.25
Histogram A Histogram B Histogram C Histogram D None
c. p = 0.45
Histogram A Histogram B Histogram C Histogram D None
d. p = 0.55
Histogram A Histogram B Histogram C Histogram D None
e. p = 0.75
Histogram A Histogram B Histogram C Histogram D None

Each of the following four distributions was created using a different dataset. Each dataset was
based on n = 23 observations.
A
250
B
150
200
Count
150
100
Count
100
50
50
0
0
0.0 0.1 0.2 0.3 0.4
0.2
0.4
0.6
Bootstrapped proportion
Bootstrapped proportion
C
D
200
150
150
Count
100
50
Count
100
50
0
0
0.0
0.2
0.4
0.6
0.8
0.0
0.2
0.4
Bootstrapped proportion
Bootstrapped proportion
Consider each of the following values for the true population p (proportion of success). Datasets A,
B, C, D were bootstrapped 1000 times, with bootstrap proportions as given in the histograms
provided. For each parameter value, list the datasets which could plausibly have come from that
population. (Hint: there may be more than one dataset for each parameter value.)
a. p = 0.05
Histogram A Histogram B Histogram C Histogram D None
b. p = 0.25
Histogram A Histogram B Histogram C Histogram D None
c. p = 0.45
Histogram A Histogram B Histogram C Histogram D None
d. p = 0.55
Histogram A Histogram B Histogram C Histogram D None
e. p = 0.75
Histogram A Histogram B Histogram C Histogram D None

Added by Andrew J.

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