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Nady [450]
3 years ago
11

EPCIUCNO

Mathematics
1 answer:
cluponka [151]3 years ago
4 0

Answer:

1 ⇒ D

2 ⇒ H

3 ⇒ B

4 ⇒ G

5 ⇒ A

6 ⇒ F

7 ⇒ E

8 ⇒ C

Step-by-step explanation:

* Lets explain how to solve the problem

- The left column has expressions and the right column has the

  equivalent expressions

- We must find the equivalent letter for each number

1.

# 7(12)

∵ 12 can be a sum of two numbers

∴ The equivalent expression to 7(12) is 7(8 + 4)

∴ 1 ⇒ D

2.

# 3(15)

∵ 3 can be a sum of two numbers

∴ The equivalent expression to 3(15) is (2 + 1)(15)

∴ 2 ⇒ H

3.

# 3a + 9

∵ 3 and 9 have a common factor 3

∵ 3a + 9 ⇒ divide them by 3

∵ 3a ÷ 3 = a and 9 ÷ 3 = 3

∴ 3a + 9 = 3(a + 3)

∴ The equivalent expression to 3a + 9 is 3(a + 3)

∴ 3 ⇒ B

4.

# 9a + 3

∵ 9 and 3 have a common factor 3

∵ 9a + 3 ⇒ divide them by 3

∵ 9a ÷ 3 = 3a and 3 ÷ 3 = 1

∴ 9a + 3 = 3(3a + 1)

∴ The equivalent expression to 9a + 3 is 3(3a + 1)

∴ 4 ⇒ G

5.

# 5 + 15a

∵ 5 and 15 have a common factor 5

∵ 5 + 15a ⇒ divide them by 5

∵ 5 ÷ 5 = 1 and 15a ÷ 5 = 3a

∴ 5 + 15a = 5(1 + 3a)

∴ The equivalent expression to 5 + 15a is 5(1 + 3a)

∴ 5 ⇒ A

6.

# 10 + 5a

∵ 10 and 5 have a common factor 5

∵ 10 + 5a ⇒ divide them by 5

∵ 10 ÷ 5 = 2 and 5a ÷ 5 = a

∴ 10 + 5a = 5(2 + aa)

∴ The equivalent expression to 10 + 5a is 5(2 + a)

∴ 6 ⇒ F

7.

# 3x + 6y + 9z

∵ The coefficient of x , y , z have a common factor 3

∵ 3x ÷ 3 = x

∵ 6y ÷ 3 = 2y

∵ 9z ÷ 3 = 3z

∴ 3x + 6y + 9z = 3(x + 2y + 3z)

∴ The equivalent expression to 3x + 6y + 9z is 3(x + 2y + 3z)

∴ 7 ⇒ E

8.

# 3x + 3y + 3z

∵ The coefficient of x , y , z have a common factor 3

∵ 3x ÷ 3 = x

∵ 3y ÷ 3 = y

∵ 3z ÷ 3 = z

∴ 3x + 3y + 3z = 3(x + y + z)

∴ The equivalent expression to 3x + 3y + 3z is 3(x + y + z)

∴ 8 ⇒ C

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Paraphin [41]

Answer:

(a) The probability that in one hour exactly two men and three women will call the answering service is 0.01374.

(b) The probability that three men will make phone calls before three women do is 0.00687.

Step-by-step explanation:

Let <em>X</em> = number of calls per hour to an answering service.

The average number of calls per hour is, <em>λ</em> = 4.

The random variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 4.

The probability mass function of <em>X</em> is:

P(X=x)=\frac{e^{-4}4^{x}}{x!};\ x=0,1,2,3...

Let <em>Y</em> = number of calls made by a man.

The probability that a call is made by a man is, p=\frac{3}{4}.

A randomly selected call is made by a man independently of the other calls.

Te random variable <em>Y </em>follows a Binomial distribution with parameters <em>n </em>and <em>p</em>.

The probability mass function of <em>Y</em> is:

P(Y=y)={n\choose y}\times(\frac{3}{4})^{y}\times (\frac{1}{4})^{n-y};\ y=0,1,2,3...

The random variable <em>X</em> are independent of each other.

(a)

Compute the probability that in one hour exactly two men and three women will call the answering service as follows:

P(X = 5, Y = 2) = P (X = 5) × P (Y = 2)

                       =\frac{e^{-4}4^{5}}{5!}\times [{5\choose 2}\times(\frac{3}{4})^{2}\times (\frac{1}{4})^{5-2}]\\=0.1563\times [10\times 0.5625\times 0.015625]\\=0.01374

Thus, the probability that in one hour exactly two men and three women will call the answering service is 0.01374.

(b)

The random variable <em>Z</em> can be defined as the number of calls made by women.

The random variable <em>Z</em> is defined as the number of failures before a fixed number of successes (<em>z</em>) . That is, the number of calls made by men before a specific number of women made the calls.

The random variable <em>Z</em> follows a Negative Binomial distribution.

The probability mass function of <em>Z</em> is:

P(Z=z)={n-1\choose z-1}\times (\frac{1}{4})^{z}\times (\frac{3}{4})^{n-z}

Compute the probability that three men will make phone calls before three women do as follows:

P (X = 6, Z = 3) = P (X = 6) × P (Z = 3)

                        =\frac{e^{-4}4^{6}}{6!}\times [{6-1\choose 3-1}\times (\frac{1}{4})^{3}\times (\frac{3}{4})^{6-3}]\\=0.1042\times [10\times 0.015625\times 0.421875]\\=0.00687

Thus, the probability that three men will make phone calls before three women do is 0.00687.

8 0
3 years ago
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Answer:

The difference in the sample proportions is not statistically significant at 0.05 significance level.

Step-by-step explanation:

Significance level is missing, it is  α=0.05

Let p(public) be the proportion of alumni of the public university who attended at least one class reunion  

p(private) be the proportion of alumni of the private university who attended at least one class reunion  

Hypotheses are:

H_{0}: p(public) = p(private)

H_{a}: p(public) ≠ p(private)

The formula for the test statistic is given as:

z=\frac{p1-p2}{\sqrt{{p*(1-p)*(\frac{1}{n1} +\frac{1}{n2}) }}} where

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Then z=\frac{0.616-0.623}{\sqrt{{0.619*0.381*(\frac{1}{1311} +\frac{1}{1038}) }}} =-0.207

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