According to the Central Limit Theorem, the distribution of the sample means is approximately normal, with the mean equal to the population mean (1.4 flaws per square yard) and standard deviation given by:

The z-score for 1.5 flaws per square yard is:

The cumulative probability for a z-score of 1.11 is 0.8665. Therefore the probability that the mean number of flaws exceeds 1.5 per square yard is
1 - 0.8665 = 0.1335.
 
        
        
        
Answer:
x = -10
Step-by-step explanation:
 
        
                    
             
        
        
        
Can you provide more info?
        
             
        
        
        
it took me a while but the answer is 5/3
 
        
                    
             
        
        
        
The answer is m(n)= 11n
If you take the different of the money from 21 cars and 25 cars, you get 44 and since 21 and 25 is only a difference of 4, you’ll divide the 44 earned by the 4 cars washed to get $11 per car and then just make sure to use the correct variables