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Liono4ka [1.6K]
3 years ago
7

How do you find slope?

Mathematics
1 answer:
Tresset [83]3 years ago
5 0

Answer:

Step-by-step explanation:

If you try to find a line (linear) slope between two points (x,y) and (x',y')

the slope or ratio of change : m = difference of y / difference of x

or m= ( y - y') / (x - x')

In a linear equation like y = mx + b ... m is the slope

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What is the answer??
kaheart [24]
Since the diameter is 12cm, we will use the radius formula = d/2= r

12/2 = 6cm

Area:
A = 3.14(r)^2

A = 3.14(6)^2

A = 3.14(36)

Answer:
A= 113.04 sq cm
7 0
3 years ago
20. In the figure at right, ABDC lies in plane k and AD IDC.
Citrus2011 [14]

The option that's true about the plane illustrated is E. None of these.

<h3>How to illustrate the plane?</h3>

From the information given, it should be noted that DBC isn't an isosceles triangle.

Also, from the figure, one can see that DAB isn't similar to DAC.

Likewise, BD and DC aren't perpendicular.

In conclusion, the correct option is E.

Learn more about plane on:

brainly.com/question/2251564

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2 years ago
Y=8x;(0,0) help please it is due tmr
nlexa [21]
(X,Y) 0=X and 0=Y if you plug in 0 for X and 0 for Y in Y=8X it will be 0=8(0). 8 times 0 is 0 which is the equation
6 0
3 years ago
A structure covering a sports practice field has the shape of half of a cylinder, as shown. What is the total surface area of th
hoa [83]

wait i dont know why it wont let me comment or see comments but wheres the picture?

3 0
2 years ago
A coffee packaging plant claims that the mean weight of coffee in its containers is at least 32 ounces. A random sample of 15 co
Luda [366]

Answer:

We conclude that the mean weight of coffee in its containers is at least 32 ounces which means that the data support the claim.

Step-by-step explanation:

We are given that a coffee packaging plant claims that the mean weight of coffee in its containers is at least 32 ounces.

A random sample of 15 containers were weighed and the mean weight was 31.8 ounces with a sample standard deviation of 0.48 ounces.

Let \mu = <u><em>mean weight of coffee in its containers.</em></u>

SO, Null Hypothesis, H_0 : \mu \geq 32 ounces     {means that the mean weight of coffee in its containers is at least 32 ounces}

Alternate Hypothesis, H_A : \mu < 32 ounces      {means that the mean weight of coffee in its containers is less than 32 ounces}

The test statistics that would be used here <u>One-sample t-test statistics</u> as we don't know about population standard deviation;

                             T.S. =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample mean weight = 31.8 ounces

             s = sample standard deviation = 0.48 ounces

             n = sample of containers = 15

So, <u><em>the test statistics</em></u>  =  \frac{31.8 -32}{\frac{0.48}{\sqrt{15} } }  ~ t_1_4  

                                      =  -1.614

The value of t test statistics is -1.614.

<u>Now, at 0.01 significance level the t table gives critical value of -2.624 at 14 degree of freedom for left-tailed test.</u>

Since our test statistic is more than the critical value of t as -1.614 > -2.624, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u><em>we fail to reject our null hypothesis</em></u>.

Therefore, we conclude that the mean weight of coffee in its containers is at least 32 ounces which means that the data support the claim.

8 0
3 years ago
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