Which decimal is equivalent to \dfrac{4}{3} 3 4 ​ start fraction, 4, divided by, 3, end fraction? Choose 1 answer: Choose 1 answ

Answer:

13.8%

Step-by-step explanation:

With six employees and six checks, there are a total of 36 (6x6) possible distributions. To determine the probability that exactly five individuals receive the correct checks, there’s only one correct distribution for each of them out of the 36 possibilities, resulting in the calculation of 1/36 for the first and then 1/36 for the subsequent checks. Therefore, the final probability becomes 5/36 = 13.8%.

To obtain a complete response, the diagram would be essential. However, to approximate the solution, I'd calculate the distances from her home to her school and combine that with the stretch from school to work, and finally, from work back home. If there’s no information regarding the distance from work to home, I’d simply double the traveled distance already accounted for.

Jacob's lunch account will deplete in 16 days while Samantha's will run out in just 2 days. Step-by-step explanation:

Answer: y = 2/5 --> y = 0.4

Step-by-step explanation:

The equation 5y = 2 represents a horizontal line at y = 2/5.

This means that the y-coordinate holds the value of 2/5 = 0.4 for any x-coordinate.

Answer:

The number of standard deviations above the mean is

Step-by-step explanation:

The question indicates that:

   The average weight of the corn ears from each farm is

   The standard deviation for the corn ears from Iowa is

   The standard deviation for the corn ears from Ohio is

     

     

  A randomly chosen ear of corn from Iowa weighs  x =  1.39 pounds

  The standardized score is  z = 1.645

  The weight of a randomly chosen ear of corn from Ohio measures  

In general, the standardized score of corn weight from Iowa can be mathematically defined as:

       

=>      

=>        

=>        

Conversely, the standardized score of corn weight from Ohio is expressed as:

         

=>      

=>        

=>      

A positive value indicates this quantity represents the number of standard deviations above the mean.