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RideAnS [48]
3 years ago
9

-2(x+5)=4 Can someone explain I need an one number answer.

Mathematics
2 answers:
Irina18 [472]3 years ago
7 0

Answer:

7

Explanation:

−

2

x

+

10

=

−

4

take 10 from both sides

−

2

x

=

−

14

divide both sides by -2 to find x

x

=

7

Step-by-step explanation:

Black_prince [1.1K]3 years ago
5 0

-7 hope this helps

brainliest if its rights ples

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PLZZZZZZZZZZZZZZZZZZ HEEELLLLLPPPPPPP <br> WIIILLLL GIIVE BRAIINLIESTTT
STatiana [176]

Answer:

2⁶

Step-by-step explanation:

Rule of exponents, if you multiply number with the same base, you add the exponents

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3 0
3 years ago
Please help me with this please answer this correctly
sergij07 [2.7K]

30 and 13


x-y=17 and x+y=43

x=17+y and x=43-y, so 17+y=43-y

so y=13

43-13=30, so x=30 and y=13

8 0
3 years ago
Would this be factorised fully? <br> Or would I have to cancel the 4 and 6? But to what?
beks73 [17]
4x^2 - 6xy = (2 x) \cdot (2 x) - (2 x) \cdot (3y) = 2x(2x - 3y)


4 0
4 years ago
Read 2 more answers
According to a survey, the average American person watches TV for 3 hours per week. To test if the amount of TV in New York City
Neporo4naja [7]

Answer:

Test statistic (t-value) of this one-mean hypothesis test is -2.422.

Step-by-step explanation:

We are given that according to a survey, the average American person watches TV for 3 hours per week. She surveys 19 New Yorkers randomly and asks them about their amount of TV each week, on average. From the data, the sample mean time is 2.5 hours per week, and the sample standard deviation (s) is 0.9 hours.

We have to test if the amount of TV in New York City is less than the national average.

Let Null Hypothesis, H_0 : \mu \leq 3  {means that the amount of TV in New York City is less than the national average}

Alternate Hypothesis, H_1 : \mu > 3   {means that the amount of TV in New York City is more than the national average}

The test statistics that will be used here is One-sample t-test statistics;

        T.S. = \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } ~ t_n_-_1

where, \bar X = sample mean time = 2.5 hours per week

             s = sample standard deviation = 0.09 hours

             n = sample size = 19

So, <u>test statistics</u> = \frac{2.5 - 3}{\frac{0.9}{\sqrt{19} } } ~ t_1_8

                              = -2.422

Therefore, the test statistic (t-value) of this one-mean hypothesis test (with σ unknown) is -2.422.

8 0
4 years ago
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Answer:

Step-by-step explanation:

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