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Strike441 [17]
2 years ago
11

Please solve and show your work

Mathematics
2 answers:
malfutka [58]2 years ago
7 0
I r d k sorry ghhfdhjh hhhhj
yaroslaw [1]2 years ago
5 0

Answer:

791.28

Step-by-step explanation:

1. 3.14*9²=254.34

2. 3.14*9*19=536.94

3. 536.94+254.34=791.28

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jok3333 [9.3K]
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5 0
3 years ago
What is the first step you would take to solve the equation 1 1/2 + 2 1/3 = ?
sineoko [7]

The first step to solve the equation 1 1/2 + 2 1/3 = ? is (a) First, you should convert the mixed numbers to improper fractions.

<h3>How to determine the first step?</h3>

The equation is given as:

1 1/2 + 2 1/3 = ?

The terms in the equation are mixed numbers.

So, the first stem is to convert the mixed numbers to improper fractions

Hence, the true statement is (a) First, you should convert the mixed numbers to improper fractions.

Read more about fractions at:

brainly.com/question/1622425

7 0
2 years ago
Could I get the answer, all work and explanation for this problem?
ratelena [41]
Okay so this is how i did it but idk if it’s right.
so i multiples the top and bottom by square root of 3 to get rid of the square root of 3
then i was left with 8-1/2(1) and got 7/2

8 0
3 years ago
9 1/3 divided by 2/3
Citrus2011 [14]
14 is the correct answer
6 0
3 years ago
Read 2 more answers
Assume that a procedure yields a binomial distribution with a trial repeated n = 5 times. Use some form of technology to find th
Digiron [165]

Answer:

P(X = 0) = 0.0263

P(X = 1) = 0.1407

P(X = 2) = 0.3012

P(X = 3) = 0.3224

P(X = 4) = 0.1725

P(X = 5) = 0.0369

Step-by-step explanation:

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

In this problem we have that:

n = 5, p = 0.517

Distribution

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{5,0}.(0.517)^{0}.(0.483)^{5} = 0.0263

P(X = 1) = C_{5,1}.(0.517)^{1}.(0.483)^{4} = 0.1407

P(X = 2) = C_{5,2}.(0.517)^{2}.(0.483)^{3} = 0.3012

P(X = 3) = C_{5,3}.(0.517)^{3}.(0.483)^{2} = 0.3224

P(X = 4) = C_{5,4}.(0.517)^{4}.(0.483)^{1} = 0.1725

P(X = 5) = C_{5,5}.(0.517)^{5}.(0.483)^{0} = 0.0369

6 0
3 years ago
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