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professor190 [17]
3 years ago
14

HELP ME solve for X

Mathematics
1 answer:
Tanya [424]3 years ago
8 0

Answer:

203/11x

Step-by-explanation: I am soo very sorry gave you the wrong answer before but going over it I see it is 203/11x

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Quick Quick! 1 minute only please! with answer and solution! NOTE: NO DIAGRAM!
Vedmedyk [2.9K]

Let's say Alice is 4 feet tall and Bob is 6 feet tall.  The ratio of their heights is the required Alice:Bob = 2:3.  That means Bob is 3/2 = 1.5 times taller than Alice.

6 0
3 years ago
Which quadrant of the coordinate plane has ordered pairs in the form of a positive number
Setler [38]

Answer:

Quadrant IV

Step-by-step explanation:

On the graph, the x-axis numbers are positive and the y-axis numbers are negative

8 0
3 years ago
‼️10 points‼️
kramer
The answer is d, hope this helps
8 0
3 years ago
Read 2 more answers
how many ounces of a 24% alcohol solution and a 29% alcohol solution must be combined to obtain 90 ounces of a 25% solution
atroni [7]

Answer:

agregar 14 o

Step-by-step explanation:

8 0
3 years ago
Please consider the following values for the variables X and Y. Treat each row as a pair of scores for the variables X and Y (wi
Studentka2010 [4]

Answer:

The Pearson's coefficient of correlation between the is 0.700.

Step-by-step explanation:

The correlation coefficient is a statistical degree that computes the strength of the linear relationship amid the relative movements of the two variables (i.e. dependent and independent).It ranges from -1 to +1.

The formula to compute correlation between two variables <em>X</em> and <em>Y</em> is:

r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}

The formula to compute covariance is:

Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y

The formula to compute the variances are:

V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}

Consider the table attached below.

Compute the covariance as follows:

Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y

                 =(5\times 165)-(30\times 25)\\=75

Thus, the covariance is 75.

Compute the variance of X and Y as follows:

V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\=(5\times 226)-(30)^{2}\\=230\\\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}\\=(5\times 135)-(25)^{2}\\=50

Compute the correlation coefficient as follows:

r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}

            =\frac{75}{\sqrt{230\times 50}}

            =0.69937\\\approx0.70

Thus, the Pearson's coefficient of correlation between the is 0.700.

5 0
3 years ago
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