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marshall27 [118]
3 years ago
6

What is the simplest from of 7/28​

Mathematics
2 answers:
frozen [14]3 years ago
8 0

Answer:

1/4

Step-by-step explanation:

kupik [55]3 years ago
3 0
THIS IS ANSWER MATE WHY DID Y’ALL GO GO VOTE AND GET IT A LOT

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PLEASE i need answer will give brainleist answer!!!
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The company's sales increase by $940
(0.94×1000)
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3 years ago
Martina,Tom,and Ahmad have a total of $109 in their wallets. Ahmad has 4 times what tom has. martina has $7 more than tim. how m
docker41 [41]

Answer:3

Step-by-step explanation: First you have to divide $109 and $4 which will give you 27.25 then you have to divide 27 with 7 which will give you 3 remainder 7 So, each of them have $3

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3 years ago
Simplify. Identify any x value for which the expression is undefined x^2+3x/x^3
Sergio039 [100]

Answer:

x = 0

Step-by-step explanation:

I think you mean

\dfrac{x^2 + 3x}{x^3}

The only undefined values of x come from the denominator, x^3.

A denominator cannot equal zero since division by zero is undefined.

Therefore if x^3 equals zero, you get an un defined expression.

We let x^3 = 0 and solve for x to find the values of x that would cause an undefined expression.

x^3 = 0

Solve for x by taking the cubic root of both sides.

x = 0

Answer: x = 0

5 0
3 years ago
1. (10 marks) A study of the home purchasing habits of Canadians in show homes found the following interesting facts. The probab
Butoxors [25]

Answer:

1 a. P(X=1)=0.3809\\\\b. P(X\geq 1)=0.5721\\c. \mu_x=0.81, \ \ \ \sigma_x=0.7371\\d. Increase \ n

2.a. 0.2438\\b. 0.6227\\c. \mu_8=17.6, \ \sigma_8=4.1952

Step-by-step explanation:

The purchase of a house has binomial distribution with p=9% and n=9

a. To find the probability of one house being sold:

p(x)={n\choose x}p^x(1-p)^{n-x}

The value of x is 1:

p(x)={n\choose x}p^x(1-p)^{n-x}\\\\\\P(X=x)={9\choose 1}0.09(1-0.09)^8\\\\=0.3809

Hence, the probability  that one house is sold that day is 0.3809

b.The probability of at least one house is the same as the 1 minus the probability that no house was sold:

p(x)={n\choose x}p^x(1-p)^{n-x}\\\\P(X\geq 1)=1-P(X=0)\\\\=1-{9\choose 0}0.09^0(0.91)^9\\\\=1-0.4279\\\\=0.5721

Hence,the probability that at least one house is sold that day is 0.5721

c. The mean of a binomial distribution is the product of the number of events times the probability of success=np

From a above, n=9 and p=0.09:

\mu_x=np, \ n=9 , \ p=0.09\\\\=9\times 0.09\\\\=0.81

#The standard deviation is calculated as np(1-p):

\sigma_x=np(1-p),\  n=9, p=0.09\\\\=9\times 0.09\times 0.91\\\\=0.7371

Hence, the distribution has a mean of 0.81 and a standard deviation of 0.7371

d. Given that the probability of success is low, the overall successful events can only be increased by increasing the sample size, say n should be increased to 1000.

2. a.Given a Poisson distribution with mean=2.2

-The probability in a Poisson distribution is expressed as:

P(x;\mu)=\frac{e^{-\mu}\mu^x}{x!}

The probability of one person showing up is calculated as:

P(x;\mu)=\frac{e^{-\mu}\mu^x}{x!}\\\\P(1,2.2)=\frac{e^{-2.2}2.2^1}{1!}\\\\=0.2438

Hence , the probability that exactly one person shows up during a 1-hour period is 0.2438

b. the probability that at most 2 people will show up during a 1-hour period is calculated as:

P(x;\mu)=\frac{e^{-\mu}\mu^x}{x!}\\\\P(x\leq2 ;\mu)=P(x=0;\mu)+P(x=1;\mu)+P(x=2 ;\mu)\\\\=\frac{e^{-2.2}2.2^0}{0!}+\frac{e^{-2.2}2.2^1}{1!}+\frac{e^{-2.2}2.2^2}{2!}\\\\=0.1108+0.2438+0.2681\\\\=0.6227

Hence,the probability that at most 2 people will show up during a 1-hour period is 0.6227

c. The mean and variance of a Poisson distribution is equal:

E(X)=\mu=Var(X)=\sigma^2, \mu=2.2\\\\8E(X)=8(2.2)=\mu_8\\\\\mu_8=17.6\\\\V(X)=\sigma^2=17.6\\\\\sigma=4.1952

Hence the mean after 8 hrs is 17.6 and the standard deviation will be 4.1952

6 0
3 years ago
List the components in the proportion relationship used to find missing value in scale drawing? PLEASE ANSWER FOR 57 PTS
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Answer:

It says 27 not 59 pls change it

4 0
3 years ago
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