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castortr0y [4]
3 years ago
15

What are Angle Bisectors? Select ALL that apply

Mathematics
1 answer:
uranmaximum [27]3 years ago
3 0

Answer:

Its when you add angles together

Its when two angles are congruent

Step-by-step explanation:

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3 1/4 - 2 1/3 what is the answer please explain
anastassius [24]

Answer:

it is 0.91<u>6 (</u>the six is repeated. a line under a number means repeated in this case)

Step-by-step explanation:

First you take 3 1/4 and turn it into 13/4 and turn 2 1/3 into 7/3 and transform those into decimals 13/4 = 3.25 and 7/3 = 2.<u>3</u> and subtract which is 0.95 plus the fact that the three is repeated which gets your answer of 0.91<u>6</u> however you should say that if they want you to simplify it to two/three decimals, it is 0.95 but if they want it exact it is 0.91<u>6</u> with the six being repeated

7 0
3 years ago
WILL MARK BRAINLIEST!!!! please help, show work if you can
enyata [817]

Answer:

(2x+5) (3x-7)

Step-by-step explanation:

(2x+5) (3x-7) is correct cause you multiply the two sides to get the answer

4 0
3 years ago
Please help!! Explanation and answer please (:
MakcuM [25]

Answer:

You can draw a model for your teacher if your teacher approves

Step-by-step explanation:

Try drawing a model

6 0
3 years ago
Suppose a production line operates with a mean filling weight of 16 ounces per container. Since over- or under-filling can be da
miss Akunina [59]

Answer:

From the question we are told that

   The  population mean is  \mu  =  16

    The sample size is  n  =  30  

     The  sample mean is  \= x =  16.32

     The  population standard deviation is  \sigma  =  0.8

      The  level of significance is  \alpha  = 0.10

Step 1: State hypotheses:

The  null hypothesis is  H_o :  \mu = 16

The alternative hypothesis is  H_a :  \mu \ne  16

Step 2: State the test statistic. Since we know the population standard deviation and the sample is large our test statistics is

          t = \frac{ \= x  -\mu }{ \frac{\sigma}{ \sqrt{n} } }

=>       t = \frac{ 16.32  -16  }{ \frac{0.8 }{ \sqrt{30} } }

=>       t =2.191

Generally the degree of freedom is mathematically represented as

          df  =  n - 1

=>      df  =  30  - 1

=>      df  =29

Step 3: State the critical region(s):

From the student t-distribution table the critical value corresponding to  \alpha  = 0.10  is

         t = 1.311

Generally the critical regions is mathematically represented as  

         - 1.311 < T <  1.311

Step 4: Conduct the experiment/study:

Generally the from the value obtained we see that the t value is outside the critical region so  the decision is [Reject the null hypothesis ]  

Step 5: Reach conclusions and state in English:

  There is  sufficient evidence to show that the filling weight has to be adjusted

Step 6: Calculate the p-value associated with this test. How does this the p-value support your conclusions in Step 5?

From the student t-distribution table the probability value to the right corresponding to t =2.191 at  a degree of freedom of  df  =29  is

        P( t > 2.191) =  0.0183

Generally the p-value is mathematically represented as

       p-value  = 2 * P( t >  2.191 )

=>    p-value  = 2 * 0.0183

=>    p-value  =  0.0366

Generally  looking at the value obtained we see that p- value <  \alpha hence

The decision rule is

Reject the null hypothesis

Step-by-step explanation:

4 0
3 years ago
What is the approximate value of ..
postnew [5]

Answer:

A: 3,600

Step-by-step explanation:

Hopefully this helps!

8 0
3 years ago
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