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Phoenix [80]
2 years ago
8

A price of a tablet is cut by 30% and the new cost is $210. How much did the tablet cost before the price was cut

Mathematics
1 answer:
Dimas [21]2 years ago
7 0

Answer:

     $273

Reason:                                                                                                        

I believe this is right

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Whats the answer and why?
san4es73 [151]

A) -13

Bcz

x^2-13x+12=0

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

x(x-1)-12(x-1)=0

(x-1)(x-12)=0

6 0
4 years ago
Sorry for the blurryness. Please answer correctly and I guarantee I will mark you brainliest :)
Helga [31]

Answer:

42

Step-by-step explanation:

37-79=42

6 0
3 years ago
I need your help ASAP
bixtya [17]

Answer:

I dont have time for all of this

Step-by-step explanation:

3 0
3 years ago
2. The school store ran out of notebooks.
weeeeeb [17]

Answer: 375

Step-by-step explanation:

You need to multiply the cost of each notebook by how many notebooks the store wants to buy.

4 0
3 years ago
Trucks in a delivery fleet travel a mean of 120 miles per day with a standard deviation of 18 miles per day. The mileage per day
kvv77 [185]

The probability that a truck drives between 150 and 156 miles in a day is 0.0247. Using the standard normal distribution table, the required probability is calculated.

<h3>How to calculate the probability distribution?</h3>

The formula for calculating the probability distribution for a random variable X, Z-score is calculated. I.e.,

Z = (X - μ)/σ

Where X - random variable; μ - mean; σ - standard deviation;

Then the probability is calculated by P(Z < x), using the values from the distribution table.

<h3>Calculation:</h3>

The given data has the mean μ = 120 and the standard deviation σ = 18

Z- score for X =150:

Z = (150 - 120)/18

   = 1.67

Z - score for X = 156:

Z = (156 - 120)/18

  = 2

So, the probability distribution over these scores is

P(150 < X < 156) = P(1.67 < Z < 2)

⇒ P(Z < 2) - P(Z < 1.67)

From the standard distribution table,

P(Z < 2) = 0.97725 and P(Z < 1.67) = 0.95254

On substituting,

P(150 < X < 156) = 0.97725 - 0.95254 = 0.02471

Rounding off to four decimal places,

P(150 < X < 156) = 0.0247

Thus, the required probability is 0.0247.

Learn more about standard normal distribution here:

brainly.com/question/26822684

#SPJ1

5 0
2 years ago
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