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tensa zangetsu [6.8K]
3 years ago
7

How do I graph the parabola?

Mathematics
1 answer:
scoundrel [369]3 years ago
8 0
First of all, find a program or a calculator that will give you the answer. Then you'll know how to make your table. I recommend Desmos. I have inserted the final graph for you.

Make up a table for this graph. Put the lowest point as the central entry in your graph.

x      y
-4
-3
-2
-1
0
Now fill in the y values. 

x       y
-4      1
-3       -3.5
-2        -5
-1       -3.5
0         1

You can use the outline of the parabola and then mark the outline with the points in the table.

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3(x+2)=2(x+5) i really need help
Ivan

Answer:

x=4

Step-by-step explanation:

3(x+2)=2(x+5)

opening brackets

3x+6=2x+10

3x-2x=10-6

1x=4

6 0
4 years ago
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two parallel lines are graphed on a coordinate plane.how many of the lines could represent proportional relationship?Explain.
soldi70 [24.7K]

It's not necessary that either one represents a proportional
relationship.  But if either one does, then the other one doesn't. 
They can't both represent such a relationship.

The graph of a proportional relationship must go through
the origin.  If one of a pair of parallel lines goes through
the origin, then the other one doesn't. (If two parallel lines
both went through the origin, then they would both be the
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7 0
3 years ago
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A Niffler is a magical creature who loves to collect shiny objects and store them in their pouch, much like a kangaroo. The amou
Fudgin [204]

Answer:

Probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is 0.1515.

Step-by-step explanation:

We are given that the amount a Niffler can hold in their pouch is approximately normally distributed with a mean of 25 pounds of shiny objects and a standard deviation of 6.8 pounds.

Let X = <u><em>amount a Niffler can hold in their pouch</em></u>

So, X ~ Normal(\mu=25,\sigma^{2} =6.8^{2})

The z score probability distribution for normal distribution is given by;

                                Z  =  \frac{X-\mu}{\sigma}  ~ N(0,1)

where, \mu = population mean = 25 pounds

            \sigma = standard deviation = 6.8 pounds

Now, the probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is given by = P(X > 32 pounds)

  P(X > 32 pounds) = P( \frac{X-\mu}{\sigma} > \frac{32-25}{6.8} ) = P(Z > 1.03) = 1 - P(Z \leq 1.03)

                                                             = 1 - 0.8485 = 0.1515

<em>The above probability is calculated by looking at the value of x = 1.03 in the z table which has an area of 0.8485.</em>

<em />

Hence, the probability that a Niffler can hold more than 32 pounds of shiny objects in their pouch is 0.1515.

4 0
3 years ago
A car park is full. 1/3 of the cars leave.60% of the cars are red. There are 174 red cars. How many cars are left in the car par
juin [17]

Answer:

290

Step-by-step explanation:

60% of ⅔X = 174

60/100 × 2/3 × X = 174

⅖X = 174

X = 435

⅔X = ⅔×435

290

290 cars are left in the parking,

145 cars left

5 0
4 years ago
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Put the following numbers in order from least to greatest: 3.5, 3.05, 3.51 *
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Answer:3.05,3.5,3.51

Step-by-step explanation:

6 0
3 years ago
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