Probabilities are used to determine the chances of an event
- The probability of choosing a black counter is 0.6
- The probability that both counters are white is 0.16
<h3>(a) Probability of selecting two blacks</h3>
The probability is given as:

Apply probability formula

Express as squares

Take the square root of both sides

Hence, the probability of choosing a black counter is 0.6
<h3>(b) Probability of selecting two white counters</h3>
In (a), we have:

Using the complement rule, we have:

So, we have:

Evaluate

The probability that both counters are white is then calculated as:

So, we have:


Hence, the probability that both counters are white is 0.16
Read more about probabilities at:
brainly.com/question/15858152
Answer:
Direct Variation Use y=kx. Means “y varies directly with x.” k is called the constant of variation. “y varies inversely with x.” k is the constant of variation.
Answer:
x=122/3
Step-by-step explanation:
Step 1: Simplify both sides of the equation.
6(x+1)(3)−10=740
18x+18+−10=740(Distribute)
(18x)+(18+−10)=740(Combine Like Terms)
18x+8=740
18x+8=740
Step 2: Subtract 8 from both sides.
18x+8−8=740−8
18x=732
Step 3: Divide both sides by 18.
18x
18
=
732
18
x=
122
3
Answer:
x= 122/3
Answer:
The value of f is 80.6.
Step-by-step explanation:
We are given the equation and asked to solve for f.
If we are given a fraction with a variable in the numerator, we can multiply both sides of the equation by the denominator to isolate it.
For example, if you look at this equation:

We can multiply both sides by 26 to get the a by itself so the equation can be solved.

Therefore, we can apply this same technique to the equation 

Therefore, the value of f is 80.6.
Answer:
The correct option is D
Step-by-step explanation:
A categorical variable is a variable that can take on one of a limited, and usually fixed, number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property. Example of categorical variables are race, sex group and education level.