<em>AC bisects ∠BAD, => ∠BAC=∠CAD ..... (1)</em>
<em>thus in ΔABC and ΔADC, ∠ABC=∠ADC (given), </em>
<em> ∠BAC=∠CAD [from (1)],</em>
<em>AC (opposite side side of ∠ABC) = AC (opposite side side of ∠ADC), the common side between ΔABC and ΔADC</em>
<em>Hence, by AAS axiom, ΔABC ≅ ΔADC,</em>
<em>Therefore, BC (opposite side side of ∠BAC) = DC (opposite side side of ∠CAD), since (1)</em>
<em />
Hence, BC=DC proved.
Answer:
128.1
Step-by-step explanation:
Since this is rounding to the nearest tenth , we look at the first number after the decimal place it's 0 so we look at the second number after the decimal place which is 9 , this rounds 0 up to 1
You would need to use the distance formula.
Distance = Sqrt((x2-x1)^2+(y2-y1)^2)
Plug in your numbers
Distance = Sqrt((12+4)^2+(12-18)^2)
Distance = 17.09
Answer:
Th computed value of the test statistic is 3.597
Step-by-step explanation:
The null and the alternative hypothesis is as follows:
Null Hypothesis:
the population correlation coefficient is equal to zero
the population correlation coefficient is not equal to zero
The test statistics for Pearson correlation coefficient is thus computed as :
![t =\dfrac{r \sqrt{(n-2)}} { \sqrt{(1-(r)^2)} }](https://tex.z-dn.net/?f=t%20%3D%5Cdfrac%7Br%20%5Csqrt%7B%28n-2%29%7D%7D%20%7B%20%5Csqrt%7B%281-%28r%29%5E2%29%7D%20%7D)
where;
r = correlation coefficient = 0.60
n = sample size = 25
So;
![t =\dfrac{0.60 \sqrt{(25-2)}} { \sqrt{(1-(0.60)^2)} }](https://tex.z-dn.net/?f=t%20%3D%5Cdfrac%7B0.60%20%5Csqrt%7B%2825-2%29%7D%7D%20%7B%20%5Csqrt%7B%281-%280.60%29%5E2%29%7D%20%7D)
![t =\dfrac{0.60 \sqrt{(23)}} { \sqrt{(1-0.36} }](https://tex.z-dn.net/?f=t%20%3D%5Cdfrac%7B0.60%20%5Csqrt%7B%2823%29%7D%7D%20%7B%20%5Csqrt%7B%281-0.36%7D%20%7D)
![t =\dfrac{0.60 *4.796} {0.8}](https://tex.z-dn.net/?f=t%20%3D%5Cdfrac%7B0.60%20%2A4.796%7D%20%7B0.8%7D)
t = 3.597
Comparing to a critical value of t (23 degrees of freedom two-tailed value) = 2.069
Decision Rule:
Since computed value of t is greater than the critical value of t; We reject the null hypothesis and accept the alternative hypothesis.
Conclusion:
We conclude that the population correlation coefficient significantly differs from 0 at 5% (0.05) level of significance.
Answer:
10.6
Step-by-step explanation:
radius = 1.5 height = 1.5 so it's 10.6