In an evaluation of a new classification algorithm, a sample of 1200 images randomly extracted from a bank of 1 million images was analyzed. Among these 1200 analyzed images, 780 were classified correctly. Based on this information, associate the number of each term below to the associated term or value in the context of this study. 1. Random variable 2. Conservative confidence interval for the parameter with a 95% confidence 3. Population 4. Margin of error of a 90% (optimistic) confidence interval for the parameter 5. Parameter estimation 6. Sample size required for the margin of error to be 1.5% with 95% confidence (optimistic CI) 7. Margin of error of a 90% (conservative) confidence interval for the parameter 8. Parameter estimator a. 1.645√0.65(1−0.65)/1200 b. p^=780/1200=0.65 c. 1.645√0.5(1−0.5)/1200
In an evaluation of a new classification algorithm, a sample of 1200 images randomly extracted from a bank of 1 million images was analyzed. Among these 1200 analyzed images, 780 were classified correctly. Based on this information, associate the number of each term below to the associated term or value in the context of this study.
1. Random variable
2. Conservative confidence interval for the parameter with a 95% confidence
3. Population
4. Margin of error of a 90% (optimistic) confidence interval for the parameter
5. Parameter estimation
6.
7. Margin of error of a 90% (conservative) confidence interval for the parameter
8. Parameter estimator
a. 1.645√0.65(1−0.65)/1200
b. p^=780/1200=0.65
c. 1.645√0.5(1−0.5)/1200
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