False they don't have to be whole numbers. As long as they're greater than 0
        
                    
             
        
        
        
Answer:
Significance of the mean of a probability distribution.           
Step-by-step explanation:
- The mean of a probability distribution is the arithmetic average value of a random variable having that distribution.
- For a discrete probability distribution, the mean is given by,  , where P(x) is the probabiliy mass function. , where P(x) is the probabiliy mass function.
- For a continuous probability distribution, the mean s given by,  , where f(x) is the probability density function. , where f(x) is the probability density function.
- Mean is a measure of central location of a random variable. 
- It is the weighted average of the values that X can take, with weights given by the probability density function. 
- The mean is known as  expected value or expectation of X.
- An important consequence of this is that the mean of any symmetric random variable (continuous or discrete) is always on the axis of symmetry of the distribution.
- For a continuous random variable, the mean is always on the axis of symmetry of the probability density function.
 
        
             
        
        
        
Answer:
Step-by-step explanation:
Let x = the number of bottles of paint that Carmen can buy
Let y = the number of boxes of colored pencils that Carmen can buy
A bottle of paint costs $2
A box of colored pencils costs $3.50
She can spend no more than $42 on art supplies. This means 
She can buy bottles of paint worth 2×x = $2x
She can buy boxes of colored pencils 
worth 3.5 × y = $3.5y
Since the total amount she can spend cannot exceed $42, the equation becomes
2x + 3.5y lesser than or equal to 42
This is shown in the attached photo
b) three different solutions to the inequality would be three different possible values that x and y can take. These are
x = 7 while y = 8
x = 10 while y = 6
x = 14 and y = 4