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Irina-Kira [14]
3 years ago
15

Add or subtract. –16 + (-14) + (-35)

Mathematics
2 answers:
sleet_krkn [62]3 years ago
6 0

Answer:

Step-by-step explanation:

–16 + (-14) + (-35)

= –16 - 14 - 35

= -75

BARSIC [14]3 years ago
4 0

Answer:

-65

A negative plus a negative is a negative. So we do 16+14=30 and 30+35=65

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28 ÷ {[(72 ÷ 2) ÷ (3 × 2)] − 2}
Dmitry [639]

Answer:

Step-by-step explanation:

1. 28 / {[36 / 6] - 2}

2. 28 / {6 - 2}

3. 28 / 4

4. 8

6 0
3 years ago
Let f(x)=x−4<br> and g(x)=−2x+4<br><br> Find g(f(2))<br><br> 0<br><br> −12<br><br> 8<br><br> −8
marin [14]

Answer:

8

Step-by-step explanation:

This one is similar to the other one done with graphs , the only difference is we have equations instead of graphs.

Like the other one, we want to find f(2) and whatever that equals we plug into g(x) to find g(f(2))

So first lets find f(2)

f(x) = x - 4

f(2) = 2 - 4

f(2) = -2

g(f(2)) , f(2) = -2 , g(-2)

now lets find g(-2)

g(x) = -2x + 4

g(-2) = -2(-2) + 4

multiply -2 and -2 to get 4

g(-2) = 4 + 4

add 4 and 4 to get 8

g(-2) = 8

We can conclude that g(f(2)) = 8

8 0
3 years ago
Read 2 more answers
Grade Salary GS-1 $1,461 GS-2 $1,591 GS-3 $1,793 GS-4 $2,013 GS-5 $2,252 The table shows the monthly salaries for different grad
lawyer [7]

The range is the difference between the highest and lowest pays.

Highest pay: GS-5 - 2,252

Lowest pay: GS-1 - 1,461

Range = 2252 - 1461 = 791

The answer is D. $791

6 0
4 years ago
Please help me with #2
e-lub [12.9K]

Answer:

The answer is B, your welcome

7 0
3 years ago
The weights of 67 randomly selected axles were found to have a variance of 3.85. Construct the 80% confidence interval for the p
VLD [36.1K]

Answer:

3.13

Step-by-step explanation:

We are given the following in the question:

Sample size, n = 67

Variance = 3.85

We have to find 80% confidence interval for the population variance of the weights.

Degree of freedom = 67 - 1 = 66

Level of significance = 0.2

Chi square critical value for lower tail =

\chi^2_{1-\frac{\alpha}{2}}= 51.770

Chi square critical value for upper tail =

\chi^2_{\frac{\alpha}{2}}= 81.085

80% confidence interval:

\dfrac{(n-1)S^2}{\chi^2_{\frac{\alpha}{2}}} < \sigma^2 < \dfrac{(n-1)S^2}{\chi^2_{1-\frac{\alpha}{2}}}

Putting values, we get,

=\dfrac{(67-1)3.85}{81.085} < \sigma^2 < \dfrac{(67-1)3.85}{51.770}\\\\=3.13

Thus, (3.13,4.91) is the required 80% confidence interval for the population variance of the weights.

8 0
3 years ago
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