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3 years ago

How are using graphs, equations, and tables similar when distinguishing between proportional and non-proportional situations?

1 answer:

3 0

We can determine the differences between proportional and non-proportional situations or relationships. We all need to know that linear relationships can be represented as tables, words, equation and graphs. Non-proportional relationship will affect the y-intercept in the graph and it will no longer than zero and the ratios in the table will not be proportional.

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I need help!! on 9 and 10 plzz help

Alexxandr [17]

9. 1/3+(x+20)+(x-10)+40=360 10. 1/2x+1/2x+(x-15)+(x-25)+100=540

1/3+2x+50=360 4x+60=540

(3/1) 1/3+2x=300(3/1) 4x/4=480/4

2x=300 X=120

————

W=150

6 0

3 years ago

Please help asap!!!!!!!! Number 2 and 3

romanna [79]

Answer:

Step-by-step explanation:

2) r = 16/2 = 8 cm

Area of top and bottom = 2*πr²

= 2 * 3.14 * 8 * 8

= 401.92 cm²

Midlle part = h * πd

= 6 * 3.14 * 16

= 301.44 cm²

Total = 401.92 + 301.44

= 703.36 cm²

3) Area of front and back = $2* \frac{1}{2}*b * h\\$

$= 2*\frac{1}{2} * 3 * 4\\\\= 12 cm^{2}$

Area of bottom = length * breadth

= 12* 3

= 36 cm²

Area of left = 12 * 4

= 48 cm²

Area of right = 12 * 5 = 60 cm²

Total = 12 + 36 + 48 + 60 = 156cm²

7 0

3 years ago

PLEASE HELP ASAP! Solve the equation. Show all your work. Round your answers to four decimal places. Make sure you solve

Evgesh-ka [11]

Answer:

x ≈ 1.9087

Step-by-step explanation:

We don't know what methods you learned in class, but here's one way to solve the equation.

Make x the exponent of a constant:

5^(x+2) = 3^(3x)

(5^x)(5^2) = (3^3)^x

25(5^x) = 27^x

Put the powers all on one side of the equation and everything else on the other side.

25 = (27^x)/(5^x) = (27/5)^x = 5.4^x

Take logarithms.

log(25) = x·log(5.4)

x = log(25)/log(5.4)

x ≈ 1.9087

6 0

3 years ago

10. Determine whether or not, vectors ui(1,-2, 0, 3), u2 = (2, 3,0,-1), u3 = (3,9,-4,-2) e R is a linear combination of the (2,-

vodka [1.7K]

If (2, -1, 2, 1) is a linear combination of the three given vectors, then there should exist $c_1,c_2,c_3$ such that

$(2,-1,2,1)=c_1(1,-2,0,3)+c_2(2,3,0,-1)+c_3(3,9,-4,-2)$

or equivalently, there should exist a solution to the system

$\begin{cases}c_1+2c_2+3c_3=2\\-2c_1+3c_2+9c_3=-1\\-4c_3=2\\3c_1-c_2-2c_3=1\end{cases}$

Right away we get $c_3=-\dfrac12$ , so the system reduces to

$\begin{cases}c_1+2c_2=\dfrac72\\\\-2c_1+3c_2=\dfrac72\\\\3c_1-c_2=0\end{cases}$

Notice that the first equation is the sum of the latter two. The third equation gives us

$3c_1-c_2=0\implies 3c_1=c_2$

so that in the second equation,

$-2c_1+3c_2=\dfrac72\implies7c_1=\dfrac72\implies c_1=\dfrac12$

which in turn gives

$3c_1=c_2\implies c_2=\dfrac32$

and hence the (2, -1, 2, 1) is a linear combination of the given vectors, with

$\boxed{(2,-1,2,1)=\dfrac12(1,-2,0,3)+\dfrac32(2,3,0,-1)-\dfrac12(3,9,-4,-2)}$

5 0

4 years ago

Use Word to documents your comparison of the two years and explain your findings in at least two paragraphs. Including: Explain

pickupchik [31]

In statistics, the standard deviation deviation may be a measure of the quantity of variation or dispersion of a group of values. The margin of error may be a statistic expressing the number of sampling error within the results of a survey. The correlation could be a statistical measure of the strength of the connection between the relative movements of two variables.

Given nothing and that we need to explain standard deviation. margin of error, correlation coefficient .

Standard deviation

In statistics, the standard deviation may be a measure of the number of variation or dispersion of a group of values. an occasional variance indicates that the values tend to be near the mean of the set, while a high variance indicates that the values are detached over a wider range.

Formula: $\sqrt{(x-x bar)^{2}/N }$

where x bar is mean and N is size of population.

Margin of error

The margin of error may be a statistic expressing the quantity of sampling error within the results of a survey. The larger the margin of error, the less confidence one should have that a poll result would reflect the results of a survey of the complete population.

Formula for M=z*s/ $\sqrt{n}$

here z is z value of Z score , s is variance , n is that the sample size.

Correlation coefficient

In statistics, the Pearson parametric statistic ― also called Pearson's r, the Pearson product-moment parametric statistic, the bivariate correlation, or colloquially simply because the coefficient of correlation ― could be a measure of linear correlation between two sets of information.

Formula=∑ $(x_{i} -x bar)(y_{i} -y bar)/\sqrt{}$ ∑ $(x_{i} -x bar)^{2}$ ∑ $(y_{i}-ybar) ^{2}$

Learn more about correlation coefficient at brainly.com/question/4219149

#SPJ4

4 0

2 years ago