Question 29 of 35 An applied mathematics student wanted to create a linear programming model to minimize the carbon footprint left in the atmosphere by the college students and faculty in DLSUD. To do this, the student had to gather information on electricity consumption in watts, transportation costs, weight of paper usage, type of vehicle owned and quantity of electronic equipment bought. What is the population of the study? Select the correct response: The set of all college students and faculty in DLSU-D. The set of all people in DLSU-D. The set of all college students in DLSU-D. The set of all faculty in DLSU-D.
Question 29 of 35 An applied mathematics student wanted to create a linear programming model to minimize the carbon footprint left in the atmosphere by the college students and faculty in DLSUD. To do this, the student had to gather information on electricity consumption in watts, transportation costs, weight of paper usage, type of vehicle owned and quantity of electronic equipment bought. What is the population of the study? Select the correct response: The set of all college students and faculty in DLSU-D. The set of all people in DLSU-D. The set of all college students in DLSU-D. The set of all faculty in DLSU-D.
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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![Question 29 of 35
An applied mathematics student wanted to create a linear programming model to minimize the carbon
footprint left in the atmosphere by the college students and faculty in DLSUD. To do this, the student had to
gather information on electricity consumption in watts, transportation costs, weight of paper usage, type of
vehicle owned and quantity of electronic equipment bought.
What is the population of the study?
Select the correct response:
The set of all college students and faculty in DLSU-D.
The set of all people in DLSU-D.
The set of all college students in DLSU-D.
The set of all faculty in DLSU-D.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F64508f6f-ee48-44d6-a44a-da5c1774021f%2Fab935835-2b5d-458e-9796-b26fd9aed76e%2Ftwpv57o_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 29 of 35
An applied mathematics student wanted to create a linear programming model to minimize the carbon
footprint left in the atmosphere by the college students and faculty in DLSUD. To do this, the student had to
gather information on electricity consumption in watts, transportation costs, weight of paper usage, type of
vehicle owned and quantity of electronic equipment bought.
What is the population of the study?
Select the correct response:
The set of all college students and faculty in DLSU-D.
The set of all people in DLSU-D.
The set of all college students in DLSU-D.
The set of all faculty in DLSU-D.
![Question 30 of 35
Which of the following statement would best describe the study "A survey of 1,000 people reveals that they
blink their eyes 12 times per minute on average"?
Select the correct response:
This is an example of inferential statistics, since "12 times per minute" is a prediction.
This is an example of descriptive statistics, since "12 times per minute" is a result of collected survey
data.
This is an example of inferential statistics, since "12 times per minute" is a result of collected survey
data.
This is an example of descriptive statistics, since "12 times per minute" is a prediction.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F64508f6f-ee48-44d6-a44a-da5c1774021f%2Fab935835-2b5d-458e-9796-b26fd9aed76e%2Fija4z_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 30 of 35
Which of the following statement would best describe the study "A survey of 1,000 people reveals that they
blink their eyes 12 times per minute on average"?
Select the correct response:
This is an example of inferential statistics, since "12 times per minute" is a prediction.
This is an example of descriptive statistics, since "12 times per minute" is a result of collected survey
data.
This is an example of inferential statistics, since "12 times per minute" is a result of collected survey
data.
This is an example of descriptive statistics, since "12 times per minute" is a prediction.
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