Answer:
oop02
Step-by-step explanation:
idk most ppl just dont think of that
 
        
             
        
        
        
Answer: a. 0.14085 
b. 3.826 x 
c.  0.5437
d. 0.0811  
Step-by-step explanation:
 Given average amount parents and children spent per child on back-to-school clothes in Autumn 2010 ,  = $527
 = $527
Given standard deviation ,  = $160
 = $160
Let X = amount spent on a randomly selected child
 Also Z =  
 
a. Probability(X>$700) = P( >
 >  ) = P(Z>1.08125) = 0.14085 {Using Z % table}
) = P(Z>1.08125) = 0.14085 {Using Z % table}
b. P(X<100) = P( Z <  ) = P(Z< -2.66875) = P(Z > 2.66875) = 3.826 x
) = P(Z< -2.66875) = P(Z > 2.66875) = 3.826 x 
c. P(450<X<700) = P(X<700) - P(X<=450) 
    P(X<700) = 1 - P(X>=700) = 1 - 0.14085 = 0.8592
    P(X<=450) = P(Z<=  ) = P(Z<= -0.48125) = P(Z<=0.48125) = 0.3155
) = P(Z<= -0.48125) = P(Z<=0.48125) = 0.3155
    So final   P(450<X<700) =  0.8592 - 0.3155 = 0.5437
d. P(X<=300) = P(Z<=  ) = P(Z<= -1.4188) = P(Z>=1.4188) = 0.0811
) = P(Z<= -1.4188) = P(Z>=1.4188) = 0.0811                                                                        
All the above probabilities are calculated using Z % table along with interpolation between two values.
 
        
             
        
        
        
Answer:
33
Step-by-step explanation:
2³=8
5²=25
8+25=33. 
so, 2³+5²=33 
 
        
                    
             
        
        
        
For this case we are going to define the following variable:
 x: time in minutes
 We write the linear function that represents the problem:
 t (x) = (14/4) x + 7
 For x = 6 we have:
 t (6) = (14/4) * (6) + 7
 t (6) = 28 ° C
 For x = 11 we have:
 t (11) = (14/4) * (11) + 7
 t (11) = 45.5 ° C
 Answer:
 t (6) = 28 ° C
 t (11) = 45.5 ° C
        
             
        
        
        
Answer:
According with the graph:
1.) The equation of the regresion line is: y=5,720.10391 x + 957.225810
2.) The values of the correlation coefficient is 0.86
Step-by-step explanation:
In the graph is shown:
1.) Line of Best Fit
y=5720.10391 x + 957.225810
2.) Correlation
.86