<span>the answer is 1.8 x 10^10 </span>
Answer:
Distance between two cities that are 9 inches apart on the map is 11.97 miles (12 miles)
Step-by-step explanation:
As it is given in the question scaled distance on a map is 3 inches = 4 miles.
Now we have to calculate how many miles in 1 inches on the map = 4÷3
= 1.33miles
Now we get the value of 1 inches on the map = 1.33 miles
9 inches = 1.33 × 9 = 11.97 miles ( Probably close to 12 miles if allowing for changing elevations in the distance)
In elementary school we used to refer to this as a ratio problem; two equal ratios with one containing unknown as :
X/C = A/B
X miles / 9 inches = 4 miles / 3 inches
X = 9 (4÷3)
X = 9×1.33
X = 11.97
=12 miles
The idea is to find a linear combination a_1(5, -6) + a_2(-2, -2) = (-6, 2)
It boils down to a system of equations:
Take the augmented matrix:
<span>[<span><span>5<span>−6</span></span><span><span>−2</span><span>−2</span></span><span><span>−6</span>2</span></span>]</span>
Reduced form:
<span>[<span><span>10</span><span>01</span><span><span>−<span>811</span></span><span>1311</span></span></span>]</span>
-(8/11)*(5, -6) + (13/11)*(-2, -2) = (-6, 2)
Answer:
The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:
Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:

The two parameters are:
who represent the mean and is on the center of the distribution
who represent the standard deviation
One particular case is the normal standard distribution denoted by:

Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated
Step-by-step explanation:
The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:
Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:

The two parameters are:
who represent the mean and is on the center of the distribution
who represent the standard deviation
One particular case is the normal standard distribution denoted by:

Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated
Answer:
The length of one plot is 45m & the other length is 25m
Step-by-step explanation:
Let length one sq. plot = x length other sq. plot = y
area of square = length²
x² + y² = 2650 -----(1)
x² - y² = 1400 ------(2)
(1)+(2)
2x² = 4050
x² = 2025
x = 45
subx²=2025into(1)
2025 + y² = 2650
y² = 625
y = 25