42% ................................
        
             
        
        
        
Answer:
L(w) = 8 mm + (2 mm/wk)(wk)
Step-by-step explanation:
L(w) = length of beard as a function of time in weeks
L(w) = 8 mm + (2 mm/wk)(wk)
 
        
                    
             
        
        
        
Answer:
- Keisha’s experimental probability is 1/50.
- When the inventory is 4000 clocks, the prediction is that 3920 clocks will work.
- Keisha will have more than 97% of the products working.
Step-by-step explanation:
These are three prediction that Keisha can make based on the report that said 6 of 300 clocks tested weren't working.
Base on that information, Keisha can calculate an experimental probability, dividing <em>clocks that don't work properly </em>by <em>the total amount of clocks</em><em>:</em>
<em> </em>
</em>
Therefore, the probability of success is 100% - 2% = 98%.
This means that Keisha has a probability of having 98% of all clocks functioning properly. So, she can make the prediction:<em> from 4000 clocks, 3920 will work. </em>Also, she can predict that she will actually have more than 97% working, because the experimental probability is higher than that.
 
        
                    
             
        
        
        
First, the ratio is 3:5. which means 3 redfish for every 5 bluefish. Since there are 20 bluefish, that means that is 4x more than 3:5. The total number of redfish are 12.
        
                    
             
        
        
        
Answer:
9 and 2/5 gallons
Step-by-step explanation:
34 x 9 gallons = 306 miles
14 / 34 = 4/10 of the gallons
4/10 simplified = 2/5
Answer: 9 2/5