Poisson Probability Distribution

Poisson Probability Distribution

Professional Development

9 Qs

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Poisson Probability Distribution

Poisson Probability Distribution

Assessment

Quiz

Mathematics

Professional Development

Hard

CCSS
RI.11-12.8, RI.8.7, RI.9-10.7

+2

Standards-aligned

Created by

Barbara White

Used 1+ times

FREE Resource

9 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

The mean number of customers arriving at a bank during a 15-minute period is 10. Find the probability that exactly 8 customers will arrive at the bank during a 15-minute period.

0.0194

0.1126

0.0003

0.0390

2.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

The mean number of customers arriving at a restaurant during a 15-minute period is 8. Find the probability that at least 4 customers will arrive at the restaurant during a 15-minute period.

0.9576

0.9356

0.9756

0.9536

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What does this symbol represent "λ"?

Poisson

Lamna

Lamdba

Lambda

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

e: is a constant equal to approximately?

2.7828

2.71828

2.71845

2.71929

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

This represents the mean number of successes that occur in a specified region.

μ

e

x

P(x; μ)

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

The Poisson distribution was named after a mathematician, engineer, and physicist, Siméon Denis Poisson. In which country is he from?

Philippines

USA

Portugal

France

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the name of the first group reporter who did the intro?

Justin

Justine

Justiine

Justina

Tags

CCSS.RI.11-12.8

CCSS.RI.8.7

CCSS.RI.9-10.7

CCSS.RL.11-12.8

CCSS.RL.9-10.7

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

"A cafe receives an average of 4 orders of Mocha Frappe every 5 minutes. What is the probability of receiving exactly 14 orders in a 15 minute period?" In this question, what is the value of λ?

14

5

12

15

9.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Poisson Distribution describe?

Rare Events

Future Events

The union of m and g

Total number of events