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Alika [10]
3 years ago
15

WILL GIVE BRAINLIEST If ABCD ~ PQRS , find each missing value

Mathematics
2 answers:
umka2103 [35]3 years ago
8 0

Answer: I think CD=23 RS=67\leqp=3

Step-by-step explanation:

monitta3 years ago
8 0

Answer:I think question 1 is similarity statement is ABC~PMN and the scale factor is 3/2.

Step-by-step explanation: take the longest side of the triangles, so 30/20 and simplify both by 10= 3/2

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They are equal because if you make 4/5 into a denominator of 10 it is 8/10
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-2|2.2x - 3.3| = -6.6
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x=3,0

Step-by-step explanation:

Isolate the variable by dividing each side by factors that don't contain the variable.

x

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3

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Can someone please help<br> me complete<br> the table
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Step-by-step explanation:

-2, 1, 2, 4

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Find the measure of angle A<br> 60<br> 300<br> 90<br> 120
labwork [276]

Answer:

120°

Step-by-step explanation:

m\angle A =  \frac{1}{2}  \{(360 - 60) \degree - 60 \degree \} \\  \\ m\angle A =  \frac{1}{2}  \{300 \degree - 60 \degree \} \\  \\ m\angle A =  \frac{1}{2}  \{240\degree\} \\  \\ m\angle A =  120 \degree

5 0
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The true average diameter of ball bearings of a certain type is supposed to be 0.5 in. A one-sample t test will be carried out t
yulyashka [42]

Complete Question

The complete question is shown on the first uploaded image

Answer:

a

   C

b

    C

c

    C

d  

     A

Step-by-step explanation:

From the question we are told that

    The population mean is  \mu  =  0.5 \  in

     

Generally the Null hypothesis is  H_o  :  \mu = 0. 5 \ in

                The Alternative hypothesis is  H_a  :  \mu  \ne  0.5 \ in

Considering the parameter given for part a  

       The sample size is  n =  15  

        The  test statistics is  t =  1.66

        The level of significance \alpha  =  0.05

The degree of freedom is evaluated as

            df =  n-  1

           df =  15-  1

           df =  14

Using the critical value calculator at (social science statistics web site )  

           t_{\frac{\alpha}{2} ,df } =  t_{\frac{0.05 }{2} ,14} =  2.145

We are making use of this  t_{\frac{\alpha }{2} } because it is a one-tail test

Looking at the value of  t and t_{\frac{\alpha }{2} } the we see that  t < t_{\frac{\alpha }{2}  } so the null hypothesis would not be rejected

Considering the parameter given for part b  

       The sample size is  n =  15  

        The  test statistics is  t =  -1.66

        The level of significance \alpha  =  0.05

The degree of freedom is evaluated as

            df =  n-  1

           df =  15-  1

           df =  14

Using the critical value calculator at (social science statistics web site )  

           t_{\frac{\alpha}{2} ,df } =  t_{\frac{0.05 }{2} ,14} =  -2.145

Looking at the value of  t and t_{\frac{\alpha}{2} ,df } the we see that t does not lie in the area covered by  t_{\frac{\alpha}{2}  , df } (i.e the area from -2.145 downwards on the normal distribution curve ) hence we fail to reject the null hypothesis

 

Considering the parameter given for part  c

       The sample size is  n =  26  

        The  test statistics is  t =  -2.55

        The level of significance \alpha  =  0.01

The degree of freedom is evaluated as

            df =  n-  1

           df =  26-  1

           df =  25

Using the critical value calculator at (social science statistics web site )  

           t_{\frac{\alpha}{2} ,df } =  t_{\frac{0.01 }{2} ,25} =  2.787

Looking at the value of  t and t_{\frac{\alpha }{2} } the we see that t does not lie in the area covered by  t_{\alpha , df } (i.e the area from -2.787 downwards on the normal distribution curve ) hence we fail to reject the null hypothesis

Considering the parameter given for part  d

       The sample size is  n =  26  

        The  test statistics is  t =  -3.95

        The level of significance \alpha  =  0.01

The degree of freedom is evaluated as

            df =  n-  1

           df =  26-  1

           df =  25

Using the critical value calculator at (social science statistics web site )  

           t_{\frac{\alpha}{2} ,df } =  t_{\frac{0.01 }{2} ,25} =  -2.787

Looking at the value of  t and t_{\frac{\alpha}{2}  } the we see that  t  lies in the area covered by  t_{\alpha , df } (i.e the area from -2.787 downwards on the normal distribution curve ) hence we  reject the null hypothesis

6 0
3 years ago
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