it's divergent, you can actually simplify this series by combining terms in pairs
The answer is: "
28 " .
___________________________________________________ "
Twenty-eight (28) students said they would vote for Brianna."
___________________________________________________Explanation:___________________________________________________We are given, in the problem, that there are "45 students total" .
___________________________________________________The fraction:

can be reduced as follows:
![\frac{56}{90} = (56÷2) / (90÷2) = [tex] \frac{28}{45}](https://tex.z-dn.net/?f=%20%5Cfrac%7B56%7D%7B90%7D%20%3D%20%2856%C3%B72%29%20%2F%20%2890%C3%B72%29%20%3D%20%5Btex%5D%20%5Cfrac%7B28%7D%7B45%7D%20)
.
___________________________________________________Thus, "
28 students out of 45 students voted for Brianna" .
___________________________________________________The answer is: "
28 students" .
___________________________________________________Hope this helps!
___________________________________________________
Answer:
<h3>In an independent groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate inference test is the<u> t test</u></h3>
Step-by-step explanation:
In an independent groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate inference test is the<u> </u><u>t test</u>
<h3>For :</h3>
- A t-test is one of the methods of a statistic and is used to determine if there is a significant difference between the two groups of their means based on a sample in data.
- The statistical significance is determined by the difference between the averages of group size , the sample size, and standard deviations of the groups.
<h3>Therefore option c) t test is correct</h3>
Answer:
Standard Deviation = 3.22
Variance = 10.36
Step-by-step explanation:
x P(x) x × P(x) x² x² × P(x)
19 0.20 3.8 361 72.2
10 0.20 2 100 20
11 0.30 3.3 121 36.3
12 0.20 2.4 144 28.8
13 0.10 1.3 169 16.9
____________________________________________
12.8 174.2 => Total
<em><u>Mean Formula</u></em>


<em><u>Variance Formula</u></em>

<em><u>Standard Deviation Formula</u></em>
