Answer:
The decision rule is  
Fail to reject the null hypothesis 
The conclusion is  
 There is no sufficient evidence to show that the average room price is significantly different from $108.50
Step-by-step explanation:
From the question we are told that 
    The sample size is  n = 64
     The average price is  
     The population standard deviation is  
      The level of significance is  
     The population mean is  
The null hypothesis is  
The alternative hypothesis is  
Generally the test statistics is mathematically represented as
        
=>     
  
=>    
From the z table  the area under the normal curve to the left corresponding to  1.75  is  
        
Generally  p-value is mathematically represented as 
         
=>     
=>     
From the values obtained we see that   hence
 hence 
The decision rule is  
Fail to reject the null hypothesis 
The conclusion is  
 There is no sufficient evidence to show that the average room price is significantly different from $108.50
  
 
        
             
        
        
        
Answer:
1,824 sq inches
Step-by-step explanation:
area of rectangle: 48 x 32 = 1536
area of triangle: (48 x 12) / 2 = 288
 
        
             
        
        
        
0.79 / 16 oz = 0.049 ( price for 1 oz of brown rice)
3.49 / 32 = 0.109 ( price for 1 oz of white rice)
 the price per oz of brown rice is cheaper then 1 oz of white rice so the brown rice is the better deal
 
        
             
        
        
        
Answer:
q= -4
Step-by-step explanation:

Collect like terms and simplify

Divide both sides of the equation by 2

Simplify

 
        
                    
             
        
        
        
Answer:
Skewed to the right
Step-by-step explanation:
As we can see in the table, the first three intervals have smaller frequency and last 4 intervals have higher frequency values. When the class intervals and frequency will be plotted on graph while taking class intervals on x-axis and frequency at y-axis, the graph will be skewed to the right because of the larger frequency values in the last intervals..