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enyata [817]
3 years ago
7

Which statements are true? Select all that apply.

Mathematics
2 answers:
Sophie [7]3 years ago
6 0

Answer:

b and c

Step-by-step explanation:

im right

xeze [42]3 years ago
4 0

Answer:

A and C

Step-by-step explanation:

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Li transformed rectangle ABCD. The image is shown. Does Li’s transformation represent a translation? Yes, the image represents a
iris [78.8K]

Answer:

C. No, the image does not have the same orientation.

Step-by-step explanation:

Just took the quiz.

6 0
3 years ago
Read 2 more answers
Help please will mark
Ann [662]
200in^2
The face is made up of 2 squares which have side lengths of 10, 10 times 10 equals 100 and there’s 2 of them which makes 100+100=200in^2
7 0
3 years ago
1 ) Considere a expressão algébrica:
balandron [24]
A) i think is correct andewmer
7 0
3 years ago
SOMEONE PLEASEEEE HELPPPP?!?!?!?!!?
Zarrin [17]

Answer:

Step-by-step explanation:

Top/Bottom = 12

Sides = 15

Front/Back = 20

20 + 15 + 12 = 47

47 / 1/2 = 23.5

8 0
3 years ago
For a binomial process, the probability of success is 40 percent and the number of trials is 5. Find the standard deviation.
Yakvenalex [24]

Answer:

Sd(X) =\sqrt{1.2}=1.095

Step-by-step explanation:

Previous concepts

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".

Solution to the problem

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

X \sim Binom(n=5, p=0.4)

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 mean for the binomial distribution is given by:

E(X) =np=5*0.4=2

And the variance is given by:

Var(X) = np(1-p) =5*0.4*(1-0.4)=1.2

And the deviation is just the square root of the variance so we got:

Sd(X) =\sqrt{1.2}=1.095

7 0
3 years ago
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