POISSON DISTRIBUTION

"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 minutes period?"

In this question, what is the value of λ ?

• 14 (D)

• 5 (E)

• 12 (B)

• 15 (F)

What does Poisson Distribution describe?

• Rare Events (R)

• Future Events (S)

• The Union Of m and g (T)

• Total Number of Events (U)

What does this symbol represent "λ"?

• Poisson (F)

• Lamna (G)

• Lamdba (H)

• Lamda (I)

In a Poisson Distribution, the mean and variance are equal.

Identify whether the statement is true or false.

• TRUE (L)

• FALSE (K)

The p.d.f of Poisson Distribution is given by.....

• $\frac{e^mm^x}{x!}$ (L)

• $\frac{e^{-m}x!}{m^x}$ (M)

• $\frac{x!}{m^xe^{-m}}$ (N)

• $\frac{e^mm^x}{x!}$ (O)

If ‘m’ is the mean of a Poisson Distribution, then variance is given by.....

• $m^2$ (G)

• $m^{\frac{1}{2}}$ (H)

• m (I)

• $\frac{m}{2}$ (J)

In a Poisson Distribution, if ‘n’ is the number of trials and ‘p’ is the probability of success, then the mean value is given by?

• m = np (A)

• m = (np)² (B)

• m = np(1-p) (C)

• m = p (D)

Patients arrive at hospital accident and emergency department at random at a rate of 6 hour per hour.

Find the probability that during an 90 minutes period, the number of patients arriving at the hospital accident and emergency department is exactly 7.

• 0.564 (K)

• 0.784 (L)

• 0.682 (M)

• 0.117 (N)

An online shop sells a computer game at an average rate of 1 per day.

Find the probability that the shop sells more than 10 games in a 7 days period.

• 0.9015 (R)

• 0.8756 (S)

• 0.0985 (T)

• 0.6598 (U)

Have you collect the every alphabet key in your answers for this quiz by write down it on a piece of paper? Here now you can ARRANGE ALL THE ALPHABETS KEY (alphabets that i put in a bracket and next to the answers) that you get from all of the questions to FORM A MYSTERIOUS WORD.

If you can get a proper word ,then you get 100% for this quiz.

THANK YOU. HAVE A NICE DAY

-KEERTHENAA A/P BALAKRISHNAN (272613)