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Wewaii [24]
3 years ago
14

4x + 6 = -x +1what's x?​

Mathematics
1 answer:
Setler [38]3 years ago
8 0

Answer:

x=-1

Step-by-step explanation:

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Hi I need to know the slope(m) before 11:00 I know the y-intercept(b) is -3
Alexxandr [17]

Answer:

slope is 2/3

Step-by-step explanation:

y=mx + b where m is the slope

6 0
2 years ago
What is G if B = A × (1+G)T and B = 3,455, A = 1,969, and T = 8? Answer as a rate in decimal format so that 12.34% would be ente
zubka84 [21]

Answer:

G=0.0728

Step-by-step explanation:

The expression given is:

B=A*(1+G)^T

This expression has the format of a compounded interest at a rate G for a time T. If B = 3,455, A = 1,969, and T = 8, the value of the rate G is determined by:

3,455=1,969*(1+G)^8\\G = \sqrt[8]{\frac{3,455}{1,969}}-1\\G=0.0728

The rate G is 0.0728.

7 0
3 years ago
In a math class with 19 students, a test was given the same day that an assignment
Kamila [148]
Shhdhdjdjdjejejdhehehehdhdhdhdhdhdhdhdhhd
4 0
2 years ago
Which expressions are equivalent to<br>-6 +49 + (-69) ?​
kiruha [24]

Answer:

-26

Step-by-step explanation:

-6+49+(-69)

43+(-69)

43-69

-26

3 0
3 years ago
The number of accidents per week at a hazardous intersection varies with mean 2.2 and standard deviation 1.1. This distribution
cluponka [151]

Answer:

Step-by-step explanation:

Hello!

The definition of the Central Limi Theorem states that:

Be a population with probability function f(X;μ,δ²) from which a random sample of size n is selected. Then the distribution of the sample mean tends to the normal distribution with mean μ and variance δ²/n when the sample size tends to infinity.

As a rule, a sample of size greater than or equal to 30 is considered sufficient to apply the theorem and use the approximation.

X[bar]≈N(μ;σ²/n)

If the variable of interest is X: the number of accidents per week at a hazardous intersection.

There is no information about the distribution of this variable, but a sample of n= 52 weeks was taken, and since the sample is large enough you can approximate the distribution of the sample mean to normal. With population mean μ= 2.2 and standard deviation σ/√n= 1.1/√52= 0.15

I hope it helps!

5 0
2 years ago
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