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Alex787 [66]
2 years ago
5

Paula is making posters for the school election. The table shows the number of posters, , she can make in m minutes. which equat

ion represents the relationship between the number of posters she can make and the time and minutes it takes her to make the posters. please help​
Mathematics
1 answer:
Roman55 [17]2 years ago
6 0

Answer:

KitKat

Step-by-step explanationKitKat

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Which graph represents 2x − 5y ≥ − 20
DENIUS [597]

Answer:

Go to desmos and it will answer literally all of your graphing questions. Just type in desmos graphing calculator.

Step-by-step explanation:

3 0
3 years ago
What is the equation of the trend line?<br> Enter your answers in the boxes.<br><br> K = _J +_
MrRissso [65]
The y-intercept of the trend line is (0,28).  The slope of this line is
         28-0
m = --------- = 2
         14-0

Thus, the equation of the trend line, in variables K and J, is

K = 2J + 28
8 0
3 years ago
X=<br> Length=<br> Width=<br> WILL GIVE BRAINLIEST + 5 star
babymother [125]

Answer:

x = 20

Length = 20ft

Width = 12ft

Step-by-step explanation:

A = 240

x^2 - 8x = 240

x^2 - 8x - 240 = 0

x^2 - 20x + 12x - 240 = 0

x(x-20) + 12(x-20) = 0

(x+12)(x-20) = 0

x = 20

x = -12 (which we discard since x is a length)

So the dimensions are 20ft and 20-8 = 12ft

7 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
Simplify: |4.2 – 6.8| + (2.4 + 7.2)
SpyIntel [72]

Answer:

|4.2 - 6.8|  + (2.4 + 7.2)

=  | - 2.6|  + 9.6

= 2.6 + 9.6

= 12.2

8 0
3 years ago
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