Answer and Step-by-step explanation: The <u>critical</u> <u>value</u> for a desired confidence level is the distance where you must go above and below the center of distribution to obtain an area of the desired level.
Each sample has a different degree of freedom and critical value.
To determine critical value:
1) Calculate degree of freedom: df = n - 1
2) Subtract the level per 100%;
3) Divide the result by 2 tails;
4) Use calculator or table to find the critical value t*;
For n = 5 Level = 90%:
df = 4
t =
= 0.05
Using t-table:
t* = 2.132
n = 13 Level = 95%:
df = 12
t =
= 0.025
Then:
t* = 2.160
n = 22 Level = 98%
df = 21
t =
= 0.01
t* = 2.819
n = 15 Level = 99%
df = 14
t =
= 0.005
t* = 2.977
The critical values and degree of freedom are:
sample size level df critical value
5 90% 4 2.132
13 95% 12 2.160
22 98% 21 2.819
15 99% 14 2.977
Yes. As an example, (-5)-(-5) = -5+5=0
<span>Given the table representing a function.
x 1 2 3 4 5
y 1 16 64 256 1,024
As can be seen from the table, from the value of x = 2, the value of y is given by
![y=4^x](https://tex.z-dn.net/?f=y%3D4%5Ex)
i.e.
![4^2=16 \\ 4^3=64 \\ 4^4=256 \\ 4^5=1,024](https://tex.z-dn.net/?f=4%5E2%3D16%20%5C%5C%204%5E3%3D64%20%5C%5C%204%5E4%3D256%20%5C%5C%204%5E5%3D1%2C024)
This represents an exponential function.
Therefore, the </span><span>statement
that would best describe the graph of the function is "The graph starts flat but curves steeply upward."</span>
Don’t at me I think it’s B