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Verdich [7]
2 years ago
8

Work out the area of triangle ABC 2root5cm 3root2cm root2cm

Mathematics
1 answer:
andrey2020 [161]2 years ago
3 0
35

Mark brainliest please



Hope this helps you out
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x=20

Step-by-step explanation:

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9,801

Step-by-step explanation:

99*99=9,801

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A like has two-fold Symmetry
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5 0
3 years ago
Stuck on question 1, can anyone help???
poizon [28]

'A' is the square root of 25. That's 5, so take A=5 with you
as you go to the next step.

B is A³.   A³ means (A x A x A).  We know that 'A' is 5, so 'B' is (5x 5 x 5) = 125 .
Take B=125 with you to the next step.

'C' is  B - 25.  We know that  'B'  is 125.  So  C = (125 - 25) = 100 .
Take  C=100  with you to the next step.

'D' is the square root of  'C'.  We know that C=100, so  D = √100 .
The square root of 100 is 10, so  D=10.
Take  D=10  with you to the next step .

'E' is  D+39.  We know that  D=10.  So  E=(10+39) = 49 .
Take  E=49 with you to the last step.

'F' is the square root of 'E'.  We know that E=49.


7 0
3 years ago
Read 2 more answers
A group of 54 college students from a certain liberal arts college were randomly sampled and asked about the number of alcoholic
Ket [755]

Answer:

t=\frac{5.25-4.73}{\frac{3.98}{\sqrt{54}}}=0.9601  

P-value  

First we find the degrees of freedom given by:

df = n-1= 54-1=53

Since is a two-sided test the p value would be:  

p_v =2*P(t_{53}>0.9601)=0.3414  

Step-by-step explanation:

Data given and notation  

\bar X=5.25 represent the sample mean

s=3.98 represent the sample standard deviation

n=54 sample size  

\mu_o =4.73 represent the value that we want to test  

\alpha represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean differs from 4.73, the system of hypothesis would be:  

Null hypothesis:\mu =4.73  

Alternative hypothesis:\mu \neq 4.73  

Since we know don't the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic  

We can replace in formula (1) the info given like this:  

t=\frac{5.25-4.73}{\frac{3.98}{\sqrt{54}}}=0.9601  

P-value  

First we find the degrees of freedom given by:

df = n-1= 54-1=53

Since is a two-sided test the p value would be:  

p_v =2*P(t_{53}>0.9601)=0.3414  

7 0
3 years ago
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