There are approximately 0.4594 acres in 2.0 hectares.
To solve this problemWe need to use the conversion factor between hectares and acres.
Given:
[tex]1 hectare = 1[/tex] × [tex]10^4 m^2[/tex]
[tex]1 acre = 4.356[/tex] × [tex]10^4 ft[/tex]
To find the number of acres in 2.0 hectares, we can set up the following conversion:
[tex]2.0 hectares * (1[/tex] × [tex]10^4 m^2 / 1 hectare) * (1 acre / 4.356[/tex] × [tex]10^4 ft)[/tex]
Simplifying the units:
[tex]2.0 * (1[/tex] × [tex]10^4 m^2) * (1 acre / 4.356[/tex] ×[tex]10^4 ft)[/tex]
Now, we can perform the calculation:
[tex]2.0 * (1[/tex] × [tex]10^4) * (1 /[/tex][tex]4.356[/tex] ×[tex]10^4)[/tex]
= 2.0 * 1 / 4.356
= 0.4594
Therefore, there are approximately 0.4594 acres in 2.0 hectares.
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In triangle ABC the angle bisectors drawn from vertices A and B intersect at point D. Find m
m
The measure of angle ADB is equal to the square root of ([tex]AB \times BA[/tex]).
In triangle ABC, let the angle bisectors drawn from vertices A and B intersect at point D. To find the measure of angle ADB, we can use the angle bisector theorem. According to this theorem, the angle bisector divides the opposite side in the ratio of the adjacent sides.
Let AD and BD intersect side BC at points E and F, respectively. Now, we have triangle ADE and triangle BDF.
Using the angle bisector theorem in triangle ADE, we can write:
AE/ED = AB/BD
Similarly, in triangle BDF, we have:
BF/FD = BA/AD
Since both angles ADB and ADF share the same side AD, we can combine the above equations to obtain:
(AE/ED) * (FD/BF) = (AB/BD) * (BA/AD)
By substituting the given angle bisector ratios and rearranging, we get:
(AD/BD) * (AD/BD) = (AB/BD) * (BA/AD)
AD^2 = AB * BA
Note: The solution provided assumes that points A, B, and C are non-collinear and that the triangle is non-degenerate.
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Bearing used in an automotive application is supposed to have a nominal inside diameter 1.5 inches. A random sample of 25 bearings is selected, and the average inside diameter of these bearings is 1.4975 inches. Bearing diameter is known to be normally distributed with standard deviation σ=0.1 inch. We want to test the following hypothesis at α=0.01. H0:μ=1.5,H1:μ=1.5 (a) Calculate the type II error if the true mean diameter is 1.55 inches. (b) What sample size would be required to detect a true mean diameter as low as 1.55 inches if you wanted the power of the test to be at least 0.9 ?
(a) Without knowing the effect size, it is not possible to calculate the type II error for the given hypothesis test. (b) To detect a true mean diameter of 1.55 inches with a power of at least 0.9, approximately 65 bearings would be needed.
(a) If the true mean diameter is 1.55 inches, the probability of not rejecting the null hypothesis when it is false (i.e., the type II error) depends on the chosen significance level, sample size, and effect size. Without knowing the effect size, it is not possible to calculate the type II error.
(b) To calculate the required sample size to detect a true mean diameter of 1.55 inches with a power of at least 0.9, we need to know the chosen significance level, the standard deviation of the population, and the effect size.
Using a statistical power calculator or a sample size formula, we can determine that a sample size of approximately 65 bearings is needed.
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Jocelyn estimates that a piece of wood measures 5.5 cm. If it actually measures 5.62 cm, what is the percent error of Jocelyn’s estimate?
Answer:
The percent error is -2.1352% of Jocelyn's estimate.