Answer:
3.75
Step-by-step explanation:
2.25 divided by 9
= 0.25
then
0.25 * 9
= 3.75
Answer:
svehe3vsjhe3v
Step-by-step explanation:
euhbhdvgrvdg
Answer:
Step-by-step explanation:
Hello, please consider the following.
A. (x minus y)(y minus x)

This is not a difference of squares.
B. (6 minus y)(6 minus y)

This is not a difference of squares.
C. (3 + x z)(negative 3 + x z)
This is a difference of squares.

D. (y squared minus x y)(y squared + x y)
This is a difference of squares.

E. (64 y squared + x squared)(negative x squared + 64 y squared)
This is a difference of squares.

Hope this helps.
Do not hesitate if you need further explanation.
Thank you
Let the n-th term be called

We see that if we choose

then the other numbers follow the pattern

(see :

)
Hence the sequence will be
Answer:
The sample consisting of 64 data values would give a greater precision.
Step-by-step explanation:
The width of a (1 - <em>α</em>)% confidence interval for population mean μ is:

So, from the formula of the width of the interval it is clear that the width is inversely proportion to the sample size (<em>n</em>).
That is, as the sample size increases the interval width would decrease and as the sample size decreases the interval width would increase.
Here it is provided that two different samples will be taken from the same population of test scores and a 95% confidence interval will be constructed for each sample to estimate the population mean.
The two sample sizes are:
<em>n</em>₁ = 25
<em>n</em>₂ = 64
The 95% confidence interval constructed using the sample of 64 values will have a smaller width than the the one constructed using the sample of 25 values.
Width for n = 25:
Width for n = 64:
![\text{Width}=2\cdot z_{\alpha/2}\cdot \frac{\sigma}{\sqrt{64}}=\frac{1}{8}\cdot [2\cdot z_{\alpha/2}\cdot \sigma]](https://tex.z-dn.net/?f=%5Ctext%7BWidth%7D%3D2%5Ccdot%20z_%7B%5Calpha%2F2%7D%5Ccdot%20%5Cfrac%7B%5Csigma%7D%7B%5Csqrt%7B64%7D%7D%3D%5Cfrac%7B1%7D%7B8%7D%5Ccdot%20%5B2%5Ccdot%20z_%7B%5Calpha%2F2%7D%5Ccdot%20%5Csigma%5D)
Thus, the sample consisting of 64 data values would give a greater precision