I need more info if I’m gonna answer this question!
Answer:
Probability is 0.831727
Step-by-step explanation:
The probability can be calculated as below
There are multiple scenarios
Scanerio 1
0 occurance & No damage = 1 - 0.2 - 0.03 - 0.001 = 0.769
Scanerio 2
1 occurance & No damage = 0.2 x ( 1 - 0.7 ) = 0.06
Scanerio 3
2 occurance & No damage = 0.03 x ( 1 - 0.7 )^2 = 0.0027
Scanerio 4
3 occurance & No damage = 0.001 x ( 1 - 0.7 )^3 = 0.000027
P(structure will not suffer any damage) = Scanerio 1 + Scanerio 2 + Scanerio 3 + Scanerio 4 = 0.769 + 0.06 + 0.0027 + 0.000027 = 0.831727
The solution of the linear equation is x = 0.
<h3>What is the linear equation?</h3>
An equation is a mathematical statement, which has an equal sign (=) between the algebraic expression.
Linear equations are the equations of degree 1.
The given linear equation is;

The value of x is determined in the following steps given below.
Hence, the solution of the linear equation is x = 0.
To know more about linear equations click the link given below.
brainly.com/question/5085290
Step 1: Set the two equations equal to each other and solve for x.
3x -5 = 6x - 8
3x + (-5+5) = 6x -8 + 5
(3x - 6x) = (6x - 6x) - 3
-3x/-3 = -3/-3
x = 1
Step 2: To solve for y take one of the given equation of your choice (for the purpose of this explanation I will only do y = 3x - 5) and replace x with 1, then solve for y
y = 3(1) - 5
y = 3 - 5
y = -2
(1,-2)
Check:
-2 = 3(1) - 5 ---> - 2 = -2
-2 = 6(1) - 8 ---> -2 = -2
Hope this helped!
Answer:
Correct option: e) a two-way table.
Step-by-step explanation:
In this case the store wants to see whether there is a relationship between the satisfaction level of the customer and their gender.
In statistics when there is a need to analyze or derive a relation between two categorical variables one should use a two-way table.
Categorical variables are qualitative variables that take on specific values that are usually labels. For example, grades obtained in an exam, gender, etc.
In this case the two categorical variables are: Gender and Satisfaction level.
To study the relation between the gender of a customer and their satisfaction level use a two-way table.