Answer:
The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean  and standard deviation
 and standard deviation  , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean  and standard deviation
 and standard deviation  .
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
Population:
Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000
Sample of 40
Shape approximately normal
Mean 350000
Standard deviation 
The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.
 
        
                    
             
        
        
        
Answer:
65.992
Step-by-step explanation:
LM/PL = RN/QR
LM / 113 = 73/ 125 
LM =(73/125) * 113 
 
        
                    
             
        
        
        
The rate defines how much the portion is of the base.
        
                    
             
        
        
        
the negative - positive 
- 24/-4
24/4
6