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Nataly_w [17]
3 years ago
8

A greater number than -8​

Mathematics
1 answer:
sertanlavr [38]3 years ago
6 0
Practically anything above -8
Such as -7, 2, 15600, anything not under -7.9
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A company can buy packages of 500 sheets of paper for $4. At that rate, how much paper can be bought for $2000? Group of answer
Alexandra [31]
Your answer is 250,000. There are two ways to do this problem.

1) Solve 500/4 to find out how many sheets of paper you get per every dollar. — Your answer is 125 sheets for $1. Then you multiply that answer by 2000, and get 250,000. Which means you get 250,000 sheets of paper for $2000.

2) You can divide 2000 by 4 & that gets you 500, you can then multiply that by 500 & you will get 250,000.

Hope this helps.
5 0
3 years ago
The relationship between the number of gallons of water in a tank and number of hours is proportional. One point on the line mod
Over [174]

Answer:

Step-by-step explanation:

I am assuming the tank starts empty. It means that in 1 hour the tank has half that water, or 3600 gallons. And the good thing of lines passing through 0.0 is that the value at 1 IS the slope we need. ie 3600.

At this point it's easy to find that if in 2 hours it filled 1/10th of the tank, in 20 hours the tank will be full.

Graph done with paint, obviously not to scale.

5 0
2 years ago
What is the solution <br> X^2-4x=-1 ?
aliya0001 [1]

Answer:

Factor x2−4x

x2−4x

=x(x−4)

Answer:

x(x−4)

Step-by-step explanation:

5 0
2 years ago
Read 2 more answers
In one area, monthly incomes of technology-related workers have a standard deviation of $650. It is believed that the standard d
Virty [35]

Answer:

There is sufficient statistical evidence to prove that the standard deviation of the technology-related workers and the standard deviation of the non-technology workers are equal.

Step-by-step explanation:

Here we have our null hypothesis as H₀: σ² = s²

Our alternative hypothesis is then Hₐ: σ² ≠ s²

We therefore have a two tailed test

To test the hypothesis of difference in standard deviation which is the Chi squared test given as follows

\chi ^{2} = \dfrac{\left (n-1  \right )s^{2}}{\sigma ^{2}}

Where:

n = Size of sample

s² = Variance of sample = 950²

σ² = Variance of population = 650²

Degrees of freedom = n - 1 = 71 - 1 = 70

α = Significance level = 0.1

Therefore, we use 1 - 0.1 = 0.9

From the Chi-square table, we have the critical value as

1 - α/2 = 51.739,  

α/2 = 90.531

Plugging the values in the above Chi squared test equation, we have;

\chi ^{2} = \dfrac{\left (23-1  \right )950^{2}}{650 ^{2}} = 49.994

Therefore, since the test value within the critical region, we do not reject the null hypothesis, hence there is sufficient statistical evidence to prove that the standard deviation of the technology-related workers and the standard deviation of the non-technology workers are equal.

6 0
3 years ago
10.
jeyben [28]
The answer to this question is A
5 0
3 years ago
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