All categories

3 years ago

ASAP WILL GIVE BRANLIEST !!!!!!!!!

Mathematics

2 answers:

Bumek [7]3 years ago

7 0

Answer:

The 3rd one!

Step-by-step explanation:

Pls give brainliest i rlly rlly need it—..

Darina [25.2K]3 years ago

3 0

Answer:

6 $\sqrt{5}$ -4 $\sqrt{7}$

Step-by-step explanation:

3 $\sqrt{5} -2\sqrt{7} +3\sqrt{5} -\sqrt{28}\\6\sqrt{5}-2\sqrt{7} -2\sqrt{7} \\6\sqrt{5}-4\sqrt{7}\\=2.8334$

You might be interested in

Which set of output values correctly completes the function table y=2x-4

mrs_skeptik [129]

Answer:

Step-by-step explanation:

7 0

3 years ago

Ivory created a scaled copy of rectangle A.

9966 [12]

The scale factor that Ivory used to create their scaled copy is;

Scale is 1 interval on graph represents 4 units of the rectangle. This is 1:4 ratio.

From the given image, we can see that the y-axis of the rectangle has 3 intervals while the x-axis has 1 intervals

Now, from the image, we are told that the area of the scaled copy is 48 square units.

What this means is that the area of the triangle she is trying to represent with that graph is 48 square units.

Now, if one interval of the graph is x-units, then it means;

length; y-axis = 3x units

width; x-axis = x units

Area of a rectangle is given by;

Area = Length × width

Thus;

3x * x = 48

3x² = 48

x² = 48/3

x² = 16

x = √16

x = 4

Thus, 1 interval on the graph represents 4 units of the rectangle.

Read more at; brainly.com/question/17182684

8 0

2 years ago

Systolic Blood Pressure Assume that the mean systolic blood pressure of normal adults is 120 millimeters of mercury and the stan

liq [111]

Answer:

0.1425 = 14.25% probability that the individual's pressure will be between 119.4 and 121.4mmHg.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

$\mu = 120, \sigma = 5.6$