Answer:
Dilation
Step-by-step explanation:
Transformation is the movement of objects in coordinate plane.A function f will map a set X to itself. f:X→X. Dilation is a transformation that produces an image of the same shape as the original but of different size.In dilation angle measures are preserved where as lengths of segments are not preserved.
so let's pick two points off that shirts/price table, say 5,100 and 9,180
They paid $720
Here's why:
The formula to this is Interest = Principal x Rate x Time or i = prt
Principal = $2000
Rate = 12%
Time = 3 years
2000 x .12 x 3 = i PEMDAS
2000 x .12 = 240
240 x 3 = 720
i = $720
Answer:324
Step-by-step explanation:
int i = 42.7; /* konwersja z double do int */
float f = i; /* konwersja z int do float */
double d = f; /* konwersja z float do double */
unsigned u = i; /* konwersja z int do unsigned int */
f = 4.2; /* konwersja z double do float */
i = d; /* konwersja z double do int */
char *str = "foo"; /* konwersja z const char* do char* [1] */
const char *cstr = str; /* konwersja z char* do const char* */
void *ptr = str; /* konwersja z char* do void* */
Podcza
Answer:
a) Q1= 144.10
Median = 150
Q3=155.90
b) The 99 percentile would be:
And represent a value who accumulate 99% of the values below
Step-by-step explanation:
Let X the random variable that represent the scores of a population, and for this case we know the distribution for X is given by:
Where and
Part a
Lets begin with the first quartile:
(a)
(b)
We can find the quantile in the normal standard distribution and we got z=-0.674.
And we can apply the z score formula and we got:
And if we solve for a we got
The median for this case is the mean
For the third quartile we find the quantile who accumulate 0.75 of the area below and we got z=0.674 and we got:
Part b
We can find the quantile in the normal standard distribution who accumulate 0.99 of the area below and we got z=2.33.
And we can apply the z score formula and we got:
And if we solve for a we got
And represent a value who accumulate 99% of the values below