Answer:
The answer is 48600, but I'm not entirely sure if it correct. 
From what I know, if I were to see ¨y=7500(1.08)t¨, we could have to substitute the t with the number of years. Looking like this, ¨y=7500(1.08) x 6¨.
The reason I don know if my answer is correct or not since I don know if you have the t next to 1.08 to represent that or to simply multiply the property of it with 6 (the number of years).
So I tried...
Step-by-step explanation:
 
        
             
        
        
        
Answer:
There are 20 vegetable plants in garden.
Step-by-step explanation:
We are given the following in the question:
Percentage of flowers = 60%
Percentage of vegetable = 40%
Number of plants in garden = 50
Number of vegetables in garden =

Number of flowers in garden =

Thus, there are 20 vegetable plants in garden.
 
        
             
        
        
        
Answer:
Option d)

Step-by-step explanation:
We are given the following in the question:
Three of four people believed that the state of the economy was the country's most significant concern.
They would like to test the new data against this prior belief. 
The null hypothesis will state that the three of four people believed that the state of the economy was the country's most significant concern.
The alternate hypothesis will state that this is not true. It states that people believed that the state of the economy was the country's most significant concern is not the same.

We design the null and the alternate hypothesis  

 
        
             
        
        
        
 Answer:
The conditional statement "∀x, If x is an insect, then x has six legs" is derived from the statement "All insects have six legs" using "a. existential" generalization
Step-by-step explanation:
In predicate logic, existential generalization is a valid rule of inference that allows one to move from a specific statement, or one instance, to a quantified generalized statement, or existential proposition. In first-order logic, it is often used as a rule for the existential quantifier in formal proofs.