For First Question:
As, we find the value of x for parallel condition of line a and b
so, m∠3 = m∠1 and m∠2 = 180°-m∠1 = 180°-(2x+15)° [ As straight line contain total 180°]
Now,
m∠2 = <span>m∠6 [ Because they are corresponding angles]
180</span>-(2x+15)=(3x+10)
180=3x+10+2x+15
x= 31 satisfies the condition of a||b
For second Question:
As, it is issoceles triangle So side AC = side BC So, m∠A=<span>m∠B
</span>4x+5=5x-1
x=6
So,
m∠A=29° and triangle contain total 180°
<span>m∠C=180-29-29
</span> =122°
Option D is correct
Answer
No
Step-by-step explanation:
it is not a function because 9 and three are a pair but so are 27 and 3. that makes it not a function
Answer:
A. Unit rate.
Step-by-step explanation:
We have been given a statement and we are supposed to choose the correct option for our given statement.
Statement:
A constant of proportionality can also be considered a(n) <u> </u> .
Since we know that constant of proportionality represents the amount by which two proportional quantities vary.
Two quantities are directly proportional, when they are in form 
, where k represents the constant of proportionality.
We can represent this proportion also as: 
Since k represents the quotient of y and x, so the value of k represents the unit rate for two quantities y and x, therefore, a constant of proportionality can also be considered an unit rate.
In the question, you were told:
x = # of lines in the ad
y = cost of ad, in dollars
So you're now told 12 lines costs $88.
How do you write that as an ordered pair? Do we write ordered pairs as (x,y) or (y,x)?
Answer:
True
Step-by-step explanation:
Descriptive statistics gives certain information about the data that helps us understand it better. For example, If you have a data set containing the number of customers that visit a shopping mall per day, the proportion of male customers or the average number of customers over period of time are some examples of descriptive statistics.
Inferential statistics uses sample data from a larger population to make certain inferences and draw conclusions about that population based on some standard procedures. Some examples of methods in inferential statistics are, Confidence intervals, Hypothesis Testing and Regression analysis
