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Bogdan [553]
2 years ago
10

Evalute the expression (64)1\2​

Mathematics
1 answer:
jolli1 [7]2 years ago
3 0

Answer:

32

Step-by-step explanation:

64×1÷2

64is divided by 2 =32

and 32×1=32

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HELPMEPLZZ.
cricket20 [7]

Answer: yes because they both go to the 0 and has the same shape.

Step-by-step explanation: yes

7 0
3 years ago
Simplify -12w + 7w - 3 - 6
aleksley [76]

Answer: Hi!

We can simplify this by combining like terms:

-12w + 7w <em>- 3 - 6</em>

-12w + 7w = -5w

-3 - 6 = -9

Out equation now looks like this:

-5w - 9

There's nothing left to simplify, so we're done!

Hope this helps!

6 0
3 years ago
According to cbs money watch, the average monthly household cellular phone bill is $100. suppose monthly household cell phone bi
iren2701 [21]
<span>The probability that a randomly selected monthly cell phone bill is more than $127 is given by

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5 0
3 years ago
The equation of a line is given below.
navik [9.2K]

Answer:

convert into slope intercept form by using inverse operations.

8 0
3 years ago
Construct the discrete probability distribution for the random variable described. Express the probabilities as simplified fract
lisov135 [29]

Answer:

P(X = 0) = 0.03125

P(X = 1) = 0.15625

P(X = 2) = 0.3125

P(X = 3) = 0.3125

P(X = 4) = 0.15625

P(X = 5) = 0.03125

Step-by-step explanation:

For each toss, there are only two possible outcomes. Either it is tails, or it is not. The probability of a toss resulting in tails is independent of any other toss, which means that the binomial probability distribution is used to solve this question.

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.

Fair coin:

Equally as likely to be heads or tails, so p = 0.5

5 tosses:

This means that n = 5

Probability distribution:

Probability of each outcome, so:

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

P(X = 0) = C_{5,0}.(0.5)^{0}.(0.5)^{5} = 0.03125

P(X = 1) = C_{5,1}.(0.5)^{1}.(0.5)^{4} = 0.15625

P(X = 2) = C_{5,2}.(0.5)^{2}.(0.5)^{3} = 0.3125

P(X = 3) = C_{5,3}.(0.5)^{3}.(0.5)^{2} = 0.3125

P(X = 4) = C_{5,4}.(0.5)^{4}.(0.5)^{1} = 0.15625

P(X = 5) = C_{5,5}.(0.5)^{5}.(0.5)^{0} = 0.03125

5 0
3 years ago
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