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tiny-mole [99]
4 years ago
14

Whats the lowest term for 24/200

Mathematics
2 answers:
DedPeter [7]4 years ago
8 0
Hi her is your answer :Your answer is 3/25
yanalaym [24]4 years ago
3 0
<span>24 / 200 = 
(23 * 3) / (23 * 52) = 
((23 * 3) : 23) / ((23 * 52) : 23) = 
(24 : 8) / (200 : 8) = 
3 / 25</span>
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B=3/4a<br> A+b= 21<br> Solve for a and b
maxonik [38]

Answer:

A=12 B= 9

Step-by-step explanation:

4 0
3 years ago
Subtract the fraction 9 - 5 1/3
Fynjy0 [20]
9=5+1+3
1=3/3
5 and 1/3=5+1/3

9-5 and 1/3=
9-5-1/3=
3+5+1-5-1/3=
3+5-5+1-1/3=
3+5-5+3/3-1/3=
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5 0
3 years ago
Read 2 more answers
A number k is more than 4 and less than 10.
Digiron [165]

its has to be 5,6,7,8,9

Step-by-step explanation:

it has to be more than 4 and less than 10

3 0
3 years ago
A real estate agent has 17 properties that she shows. She feels that there is a 60% chance of selling any one property during a
Zarrin [17]

Answer:

P(X\leq 5)

And we can find the individual probabilities like this:

P(X=0)=(17C0)(0.6)^0 (1-0.6)^{17-0}=0.000000171  

P(X=1)=(17C1)(0.6)^1 (1-0.6)^{17-1}=0.00000439  

P(X=2)=(17C2)(0.6)^2 (1-0.6)^{17-2}=0.0000526  

P(X=3)=(17C3)(0.6)^3 (1-0.6)^{17-3}=0.000394  

P(X=4)=(17C4)(0.6)^4 (1-0.6)^{17-4}=0.00207  

P(X=5)=(17C5)(0.6)^5 (1-0.6)^{17-5}=0.000807  

And adding we got:

P(X\leq 5) = 0.0106

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

Solution to the problem

Let X the random variable of interest, on this case we know that:

X \sim Binom(n=17, p=0.6)

And we want this probability:

P(X\leq 5)

And we can find the individual probabilities like this:

P(X=0)=(17C0)(0.6)^0 (1-0.6)^{17-0}=0.000000171  

P(X=1)=(17C1)(0.6)^1 (1-0.6)^{17-1}=0.00000439  

P(X=2)=(17C2)(0.6)^2 (1-0.6)^{17-2}=0.0000526  

P(X=3)=(17C3)(0.6)^3 (1-0.6)^{17-3}=0.000394  

P(X=4)=(17C4)(0.6)^4 (1-0.6)^{17-4}=0.00207  

P(X=5)=(17C5)(0.6)^5 (1-0.6)^{17-5}=0.000807  

And adding we got:

P(X\leq 5) = 0.0106

5 0
3 years ago
CAN ANYONE PLEASE HELP ME !!
Ivan

Answer:

The answer is 9.

Step-by-step explanation:

8 0
3 years ago
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