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discusssions_2.docx

Part 1 A binomial random variable X is defined as the number of successes achieved in the n trials of a Bernoulli process. Describe an event in your life that fits the properties of a Bernoulli process, being sure to explain how each property is met by your event. Finally, state the number of trials and the number of successes for your event. Be specific.

Part 2 – Python

Discuss how the use of standards such as variable naming, the use of class diagrams, and good programming practices all contribute to both rapid program development, team programming, and increased ease of maintenance.

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P

art

1

A binomial random variable X is defined as the number of successes achieved in

the n

trials of a

Bernoulli process. Describe an event in your life that fits the properties of a Bernoulli process, being sure

to explain how each property is met by you

r event. Finally, state the number of trials and the number of

successes for your event. Be specific

.

Part 2

Python

Discuss how the use of standards such as variable naming, the use of cla

ss diagrams, and good

programming practices all contribute to both rapid program development, team programming, and

increased ease of maintenance

.

.

Part 1 A binomial random variable X is defined as the number of successes achieved in the n trials of a

Bernoulli process. Describe an event in your life that fits the properties of a Bernoulli process, being sure

to explain how each property is met by your event. Finally, state the number of trials and the number of

successes for your event. Be specific.

Part 2 – Python

Discuss how the use of standards such as variable naming, the use of class diagrams, and good

programming practices all contribute to both rapid program development, team programming, and

increased ease of maintenance.

.