60 deg is 1/6 of 360 deg
So, 1/6 x pi5^2
= Approx. 13.1
A.
BRAINLIEST PLS!
There are 4 team members in a row
12 / 3 = 4
Hope that helped
20000*0.45 = 9000 in the bond
20000*0.15 = 3000 in the CD
20000*0.20 = 4000 in stocks
20000*0.029 = 580 in savings
A=9000(1 + 4.35%)^3 = 10,226.33
A=3000(1 + 2.90%)^3 = 3,268.64
A=4000 (1 + 8%) x (1 - 4%) x (1 + 6%) = 4,396.03
A=580(1 + 4.35%)^3 = 4,545.04
Total value = 22,436.04
Gain = 22,436.04 - 20,000 = 2,436.04
In this question, we given a piece-wise function, that has different definitions depending on the domain.
Evaluate the function at x = 0.
The exercise asks for us to evaluate the function at 
We have to look at the definition, and see which definition includes
. The equal sign at
is on the second definition, that is:

Thus, at
, the value of the function is 1, and the correct answer is given by option A.
For another example of evaluation of a piece-wise function, you can check brainly.com/question/17966003
Answer:
On this case since the p value is less than 0.05 then the results are significant. So then Joshua can say that the t-test conducted is significant. And on this case makes sense report the effect size.
Step-by-step explanation:
Effect size is defined as a "quantitative measure of the magnitude of the experimenter effect". If we have a high value for the effect size then we can conclude that we have a stronger relationship between two variables.
t-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.
The independent t-test, is an statistical test in order to determine if we have statistically significant difference between the means of two unrelated groups.
We can check for example the following hypothesis:
Null hypothesis:
Alternative hypothesis:
The statistic for this test is given by:
(1)
The value obtained after apply the formula (1) was 10.25.
And the degreed of freedom are calculated from:

On this case since the p value is less than 0.05 then the results are significant. So then Joshua can say that the t-test conducted is significant. And on this case makes sense report the effect size.
Usually when the Cohen effect size value d=0.2 or lower we can consider this as a 'small' effect size, and that's our case.