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5. Which would be properly modeled by a binomial distribution? A. A school has a thousand of enrollees per year. Let X denote the number of failing students per year in a sample of size 25 selected at random from the school. B. From a batch of 90 enrolled students, a sample of size 50 is selected without replacement. Let X denote the number of students with passing status. C. Let X denote the number of passing elderly in front of a school in Tuguegarao city during a morning period.

5. Which would be properly modeled by a binomial distribution? A. A school has a thousand of enrollees per year. Let X denote the number of failing students per year in a sample of size 25 selected at random from the school. B. From a batch of 90 enrolled students, a sample of size 50 is selected without replacement. Let X denote the number of students with passing status. C. Let X denote the number of passing elderly in front of a school in Tuguegarao city during a morning period.

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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5. Which would be properly modeled by a binomial distribution? A. A school has a thousand of enrollees per year. Let X denote the number of failing students per year in a sample of size 25 selected at random from the school. B. From a batch of 90 enrolled students, a sample of size 50 is selected without replacement. Let X denote the number of students with passing status. C. Let X denote the number of passing elderly in front of a school in Tuguegarao city during a morning period. D. Both A and B
Transcribed Image Text:5. Which would be properly modeled by a binomial distribution? A. A school has a thousand of enrollees per year. Let X denote the number of failing students per year in a sample of size 25 selected at random from the school. B. From a batch of 90 enrolled students, a sample of size 50 is selected without replacement. Let X denote the number of students with passing status. C. Let X denote the number of passing elderly in front of a school in Tuguegarao city during a morning period. D. Both A and B
1. In my analysis, I have observed and noted down data from my soap batchmaking process for 4 hours run to find a relationship between underweight issue of my manufactured bars to the dosage of powders and mixing time. This is an example of A. Restrospective study B. Observational study 2. In which of the situations below was statistical inference applied? A. Approximating the average weight of a loaf bread produced from a batch by measurements done in a set of 10 loaves per batch of production B. Ideal gas law was applied in determining the thickness of a gas cylinder design. C. Conducting measurements of the whole 1000-item population of weight measurements to measure the population variance C. Designed experiment D. Comparative experiment D. All of the above 3. Which of the following statements does not describe a random variable? A. To control the variability of a set of data, the most important factors affecting my measurements of the random variable must be determined. B. In my steam distillation of lemongrass essential oil, I am controlling my reflux flow rate, reboiler and condensate temperatures but I still get varying distillate concentrations. C. Since I am already an expert in my process, I can easily control my production line such that I produce exactly the same weight of detergent bar in every batch and across batches. D. None of the above
Transcribed Image Text:1. In my analysis, I have observed and noted down data from my soap batchmaking process for 4 hours run to find a relationship between underweight issue of my manufactured bars to the dosage of powders and mixing time. This is an example of A. Restrospective study B. Observational study 2. In which of the situations below was statistical inference applied? A. Approximating the average weight of a loaf bread produced from a batch by measurements done in a set of 10 loaves per batch of production B. Ideal gas law was applied in determining the thickness of a gas cylinder design. C. Conducting measurements of the whole 1000-item population of weight measurements to measure the population variance C. Designed experiment D. Comparative experiment D. All of the above 3. Which of the following statements does not describe a random variable? A. To control the variability of a set of data, the most important factors affecting my measurements of the random variable must be determined. B. In my steam distillation of lemongrass essential oil, I am controlling my reflux flow rate, reboiler and condensate temperatures but I still get varying distillate concentrations. C. Since I am already an expert in my process, I can easily control my production line such that I produce exactly the same weight of detergent bar in every batch and across batches. D. None of the above
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