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SPDF VERSION 2 SM025

SPDF VERSION 2 SM025

Assessment

Presentation

•

Mathematics

•

12th Grade

•

Practice Problem

•

Medium

Created by

NOR SHAHARINA

Used 3+ times

FREE Resource

90 Slides • 40 Questions

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Multiple Choice

Why do you think understanding special probability distributions is important in mathematics and real-world applications?

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They help in predicting outcomes in uncertain situations

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They are only used for theoretical purposes

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They are not relevant outside of mathematics

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They are mainly used for historical analysis

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Multiple Choice

Which of the following is NOT a condition for a binomial distribution?

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Trials are independent of each other

2

Probability of success must be the same for each trial

3

A fixed number of trials

4

Outcomes can be more than two types

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Multiple Select

Which of the following situations can be modeled by a binomial distribution?

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The number of heads obtained when an unbiased coin is tossed 10 times

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The number of black pens obtained when four pens are picked at random one at a time from a box containing 5 black pens and 15 red pens

3

The number of lettuce seeds that germinate from a pack of 3 seeds, given that the probability that a lettuce seed germinates is 0.8

4

All of the above

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Multiple Choice

If X ~ B(10, 0.9), what is the probability that X equals 6?

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0.0112

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0.3874

3

0.0901

4

0.4305

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Multiple Choice

If X ~ B(10, 0.9), what is the probability that X is greater than 8?

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0.3874

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0.1937

3

0.7361

4

0.4305

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Multiple Choice

If X ~ B(10, 0.9), what is the probability that X is at least 2?

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0.9999

2

0.9000

3

0.8100

4

0.1000

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Multiple Choice

What is the probability notation used in the binomial table for the number of successes X?

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P(X ≤ x)

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P(X ≥ x)

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P(X = x)

4

P(X < x)

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Fill in the Blank

If X ~ B(20, 0.35), use the binomial table to find P(X > 5).

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Fill in the Blank

If X ~ B(20, 0.35), use the binomial table to find P(2 < X < 7).

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Fill in the Blank

If X ~ B(20, 0.35), use the binomial table to find P(X < 4).

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Multiple Choice

Question image

P(X≥3)P\left(X\ge3\right)

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0.1579

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0.0308

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0.8369

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0.1631

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Multiple Choice

Question image

P(X>3)P\left(X>3\right)

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0.1579

2

0.0308

3

0.9692

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0.1631

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Multiple Choice

Question image

P(X≤3)P\left(X\le3\right)

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0.0308

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0.8369

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0.9692

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0.1631

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Multiple Choice

Question image

P(X<3)P\left(X<3\right)

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0.0308

2

0.8369

3

0.9692

4

0.1631

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Multiple Choice

Question image

P(X=3)P\left(X=3\right)

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0.0308

2

0.8369

3

0.1323

4

0.1631

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Multiple Select

Which of the following statements about binomial probability is/are correct?

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The probability of exactly k successes in n trials can be found using the binomial formula.

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The mean of a binomial distribution is np.

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The variance of a binomial distribution is npq.

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The binomial distribution can only be used when the probability of success changes in each trial.

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Multiple Choice

Which of the following formulas correctly represents the expected value (mean) and variance of a binomial distribution X ~ B(n, p)?

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E(X) = np, Var(X) = npq

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E(X) = npq, Var(X) = np

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E(X) = n + p, Var(X) = n - p

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E(X) = p/n, Var(X) = q/n

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Fill in the Blank

Let X ~ B(n, 0.22) and E(X) = 11. Find the value of n.

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Fill in the Blank

Let X ~ B(n, 0.22) and E(X) = 11. Find Var(X).

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Multiple Choice

Let X ~ B(n, 0.22) and E(X) = 11. Find P(X = 4).

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0.0059

2

1.5071

3

0.1358

4

0.0587

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Multiple Choice

A coin is tossed 40 times. Find the mean and the standard deviation of the number of heads appeared.

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mean = 20 ,

std dev = 10

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mean = 10 ,

std dev = 2

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mean = 20 ,

std dev = 3.1623

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mean = 3.1623 ,

std dev = 20

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Multiple Choice

Determine whether the following situations can be modelled by a Poisson distribution

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 The number of meteorites greater than 1 meter diameter that strike Earth in a year.

2

The number of patients arriving in an emergency room between 10 and 11 pm.

3

The number of photons hitting a detector in a particular time interval.

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All of the above.

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Fill in the Blank

If X∼Po(6),X\sim P_o\left(6\right), find the P(X = 3) by using the Poisson formula

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Fill in the Blank

If X∼Po(6),X\sim P_o\left(6\right), find the P(X≥2)P\left(X\ge2\right) by using the Poisson formula

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Fill in the Blank

If X∼Po(6),X\sim P_o\left(6\right), find the P(X<2)P\left(X<2\right) by using the Poisson formula

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Fill in the Blank

If X∼Po(6),X\sim P_o\left(6\right), find the P(3<X≤5)P\left(3<X\le5\right) by using the Poisson formula

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Draw

An average of three cars arrive at a highway tollgate every minute. If this rate is approximately Poisson distribution what is the probability that exactly,


five cars will arrive in one minute.

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Draw

An average of three cars arrive at a highway tollgate every minute. If this rate is approximately Poisson distribution what is the probability that exactly,


seven cars will arrive in five minutes

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Word Cloud

If X∼Po(5.5)X\sim P_o\left(5.5\right) , find P(X≥5)P\left(X\ge5\right)

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Word Cloud

If X∼Po(5.5)X\sim P_o\left(5.5\right) , find P(X≤5)P\left(X\le5\right)

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Word Cloud

If X∼Po(5.5)X\sim P_o\left(5.5\right) , find P(X=5)P\left(X=5\right)

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Word Cloud

If X∼Po(5.5)X\sim P_o\left(5.5\right) , find P(3≤X<8)P\left(3\le X<8\right)

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Multiple Choice

The number of breakdowns in a particular machine occurs at a rate of 2.5 per month. Assuming that the number of breakdowns follows Poisson distribution, find the probability that,

more than three breakdowns occur in a particular month.


1

0.2424

2

0.4562

3

0.7127

4

0.7576

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Multiple Choice

The number of breakdowns in a particular machine occurs at a rate of 2.5 per month. Assuming that the number of breakdowns follows Poisson distribution, find the probability that,

less  than ten breakdowns occur in  three months period.


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0.2236

2

0.9991

3

0.7764

4

0.9997

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Multiple Choice

The number of breakdowns in a particular machine occurs at a rate of 2.5 per month. Assuming that the number of breakdowns follows Poisson distribution, find the probability that,

exactly three breakdowns occur in two months.


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0.4562

2

0.1403

3

0.8753

4

0.7350

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Multiple Choice

Question image


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mean =1.8

variance = 1.8

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mean = 1.8

variance = 1.82

3

mean = 1.8

variance = 3.6

4

mean = 1.82

variance = 1.8

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Fill in the Blank

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between x=25 and x=32

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Fill in the Blank

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between x=18 and x=34

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Fill in the Blank

In a company, the wages of a certain grade of staff are normally distributed with a standard deviation of RM 400. If 20.05% of staff earn less than RM 300 a week, 

What is the average wage in RM?

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Multiple Choice

In a company, the wages of a certain grade of staff are normally distributed with a standard deviation of RM 400. If 20.05% of staff earn less than RM 300 a week, 

What the percentage of staff earns more than RM500 a week?

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0.6331

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63.31%

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0.3669

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36.69%

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