The center of the dilation is the origin, and the scale factor is 2.
To find the coordinates of the points under this transformation, it is enough to multiply both coordinates of the points X, Y, and Z by 2.
Take a look at the dilation of point Z. To get to Z', both the x and y coordinate of Z must be multiplied by 2.
So, the coordinates are:
X'(8, 0); Y'(6, 4); Z'(4, -4).
Answer:
A. 7 burritos for $51.50
Step-by-step explanation:
22.50/3=7.50
1 burrito cost $7.50
2 burritos will cost $15.00
2×7.50=15
5 burritos will cost $37.50
5×7.50=37.50
4 burritos will cost $30.00
4×7.50=30.00
However, 7 burritos will not cost $51.50 because 7×7.50=52.50 not 51.50
Answer:
Triangle RED ≈ Triangle BUL
By-
SAS Congruencey
Beacause-
RE = BU (S)
ang RDE = ang BLU (A)
RD = BL (S)
(All the info for the relationship is given in the diagram itself)
Thus it's SAS Congruencey
Using the normal distribution, the probabilities are given as follows:
a. 0.4602 = 46.02%.
b. 0.281 = 28.1%.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean
and standard deviation
is given by:

- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
- By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation
.
The parameters are given as follows:

Item a:
The probability is <u>one subtracted by the p-value of Z when X = 984</u>, hence:


Z = 0.1
Z = 0.1 has a p-value of 0.5398.
1 - 0.5398 = 0.4602.
Item b:

By the Central Limit Theorem:


Z = 0.58
Z = 0.58 has a p-value of 0.7190.
1 - 0.719 = 0.281.
More can be learned about the normal distribution at brainly.com/question/4079902
#SPJ1