Slope intercept form is the form of y=mx+b. Your m is the slope, and the b is your starting point. To find this, you can start at the bottom, and go to the next point it passes through. It is alway rise over run. Rise is your y, x is your run, so it is always y/x. If you need help finding the slope, use the slope formual, which is y₂-y¹/x₂-x₁. You can use any of the points on here to get your slope... As for the B, well... I can't really help you on that. Sorry! But I hope this helps! :)
Question 3
if 7x = 28
divide both sides by 7
7x/7 = 28/7
x = 4
This is division property of equality
Question 1
if angle m is 80 degrees the m = 80 degrees
this can be a congruent angles or alternate angles are equal
this is symmetric property of equality
Question 5
m1 = 30 and mz1 = m2, then m2 = 30
this property is transitive property of equality
Question 2
if RS - TU and TU =YP, then RS = YP
this means you can substitute RS with YP
then we have our new expression as
YP - YP
this is substitution property of equality, this is because we are substituting a function with another function
Answer:
2/3
Step-by-step explanation:
Find the total amount of shirts: 6 + 8 + 4 = 18
Find the total amount of white and solid colored shirts : 8 + 4 = 12
Put the total amount of white and solid colored shirts over the total amount of shirts: 12/18
Simplify 12/18: 2/3
Answer:
(1)
Step-by-step explanation:
Data given and notation
n=100 represent the random sample taken
estimated proportion with the survey
is the value that we want to test
represent the significance level
z would represent the statistic (variable of interest)
represent the p value (variable of interest)
Concepts and formulas to use
We need to conduct a hypothesis in order to test the claim that the true proportion is lower than 0.41.:
Null hypothesis:
Alternative hypothesis:
When we conduct a proportion test we need to use the z statistic, and the is given by:
(1)
The One-Sample Proportion Test is used to assess whether a population proportion
is significantly different from a hypothesized value
.
Calculate the statistic
Since we have all the info requires we can replace in formula (1) like this: