crate a Continuous Distribution Uniform question Questions must be of your own c
ID: 2932049 • Letter: C
Question
crate a Continuous Distribution Uniform questionQuestions must be of your own creation and should be framed within a content-appropriate "real-life" (or imaginary) context or scenario.
Each question will be evaluated based on the following criteria:
Question 2: (15 pts)
5 pts - problem requires the use of the continuous distribution assigned and convinces me you understand the statistical concepts involved 5 pts - problem is framed within a content-appropriate "real-life" (or imaginary) context or scenario and is logical, clear and well-written 5 pts - correct solution is provided with thorough explanations and work crate a Continuous Distribution Uniform question
Questions must be of your own creation and should be framed within a content-appropriate "real-life" (or imaginary) context or scenario.
Each question will be evaluated based on the following criteria:
Question 2: (15 pts)
5 pts - problem requires the use of the continuous distribution assigned and convinces me you understand the statistical concepts involved 5 pts - problem is framed within a content-appropriate "real-life" (or imaginary) context or scenario and is logical, clear and well-written 5 pts - correct solution is provided with thorough explanations and work crate a Continuous Distribution Uniform question
Questions must be of your own creation and should be framed within a content-appropriate "real-life" (or imaginary) context or scenario.
Each question will be evaluated based on the following criteria:
Question 2: (15 pts)
5 pts - problem requires the use of the continuous distribution assigned and convinces me you understand the statistical concepts involved 5 pts - problem is framed within a content-appropriate "real-life" (or imaginary) context or scenario and is logical, clear and well-written 5 pts - correct solution is provided with thorough explanations and work
Explanation / Answer
Answer- Consider entry of students in a college whose entry timmings are from 9:00 to 10:00. If consider the random variable X of number of students coming to college in between that time, then that will follow contnous uniform distribution. This means that number of students coming to college is uniform in every part of that 1-hour entry period. This is a continous probabilty distribution as student can come at any time ( at any section of minute and second).
Suppose mean of that random variable X is 60. This means that expected number of students coming in every 10 minute interval is 10 or expected number of students in every 5 minute interval is 5.
TY!
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