Answer:
x>19.5
Step-by-step explanation:
Let's solve your inequality step-by-step.
x−4>15.5
Step 1: Add 4 to both sides.
x−4+4>15.5+4
x>19.5
Answer:
x>19.5
Answer:
Step-by-step explanation:
There is missing information in the task: HD║FG !!!!!
∠HDE ≅ ∠FGE and ∠EHD ≅ ∠EFG
<u><em>ΔEHG ~ ΔEFG</em></u> (AAA theorem of similarity)
m∠F = 22°
m∠G = 89°
All linear functions have in common...
1. Their highest exponent is 1.
2. The graphs of the equations are lines.
When finding things in common between different types of functions, you always have to look at the two sides of math; geometry and algebra. Geometry is all the graphs, and algebra is the equations.
I hope this helps!
The constant of proportionality is equal to 11.
<h3>Constant of Proportionality</h3>
The constant of proportionality is the ratio that relates two given values in what is known as a proportional relationship. Other names for the constant of proportionality include the constant ratio, constant rate, unit rate, constant of variation, or even the rate of change.
In this question, the constant of proportionality is that value that doesn't change or represents the number of players while x represented the number of games they played.
The constant of proportionality can be solved mathematically as

The constant of proportionality is the value that makes y = 11x and it is 11.
Learn more on proportionality here;
brainly.com/question/28413384
#SPJ1
Answer:
The probability is
Step-by-step explanation:
From the question we are told that
The proportion that live with their parents is 
The sample size is n = 125
Given that there are two possible outcomes and that this outcomes are independent of each other then we can say the Recent census data follows a Binomial distribution
i.e

Now the mean is evaluated as



Generally the proportion that are not staying with parents is

= > 
The standard deviation is mathematically evaluated as



Given the n is large then we can use normal approximation to evaluate the probability as follows

Now applying continuity correction

Generally



So for the z - table

