Answer:
a) The probability that the airline will lose no bags next monday is 0.1108
b) The probability that the airline will lose 0,1, or 2 bags next Monday is 0.6227
c) I would recommend taking a Poisson model with mean 4.4 instead of a Poisson model with mean 2.2
Step-by-step explanation:
The probability mass function of X, for which we denote the amount of bags lost next monday is given by this formula

a) 

The probability that the airline will lose no bags next monday is 0.1108.
b) Note that  . And
 . And

Therefore, the probability that the airline will lose 0,1, or 2 bags next Monday is 0.6227.
c) If the double of flights are taken, then you at least should expect to loose a similar proportion in bags, because you will have more chances for a bag to be lost. WIth this in mind, we can correctly think that the average amount of bags that will be lost each day will double. Thus, i would double the mean of the Poisson model, in other words, i would take a Poisson model with mean 4.4, instead of 2.2.
 
        
             
        
        
        
Answer:
4cm
Step-by-step explanation:
The base of the triangle is 4cm. 14-10 = 4cm
 
        
                    
             
        
        
        
Answer:
7/4
Step-by-step explanation:
 
        
                    
             
        
        
        
It shifted 4 u it’s to the left
        
             
        
        
        
Answer:
Standard Deviation is 18.57 .
Step-by-step explanation:
We are given the frequency distribution for the speed of a sample of automobiles traveling on an interstate highway;
   Speed (mph)     Frequency (f)      X         X*f           X -  
         
 
      50 - 54                    4                52       208         52 - 65 = -13         169
      55 - 59                    3                57        171           57 - 65 = -8           64
      60 - 64                    2                62        124          62 - 65 = -3            9
      65 - 69                    5                67        335          67 - 65 = 2             4 
      70 - 74                     2                72        144           72 - 65 = 7            49
      75 - 79               <u>      5       </u>         77     <u>   385    </u>      77 - 65 = 12          144
                                 <u> ∑f = 21   </u>              ∑X*<u>f = 1367 </u>            
Mean of the data,  =
 =  
 
                                        =  = 65.09 ≈ 65 .
 = 65.09 ≈ 65 .        
Now, Standard deviation, s =  
 
s =   =
 =  = 18.57
 = 18.57 
Therefore, standard deviation is 18.57 .