Answer:
D
Step-by-step explanation:
We need to understand the meaning of slope. The slope means the rate of change of y with every unit change of x.
<em>In our case, it will be rate of change of sales increase (%) with respect to unit change of discount(%).</em>
<em />
The formula for slope is the change in y divided by change in x.
From the 2 points given, we can say that slope is:
<em>This means "as discount increases 1%, sales increase by 3%". Option D is right.</em>
Antonio has 24 coins in his pocket this is how I found the answer
(5/8)x=15
x=15/ (5/8)
x=15*(8/5)
x=120/5
x=24
I really hope this helps
122 degrees because you have to add both of them together to get the answer so just turn the negative number into a positive number and answer it like that
Present value, PV = $500
Future value, FV = 2*PV = 2*500 = $1,000
Rate, r = 4% = 0.04
Compounding times in a year, n = 4 (compounded quarterly)
Time, t = ??
The future value expression is stated as:
FV = PV (1+r/n)^nt
Substituting;
1000 = 500 (1+0.04/4)^4t
2 = (1.01)^4t
ln 2 = 4t ln 1.01
0.6931 = 4t* 0.00995
0.6931 = 0.0398t
t = 17.414 years
Time required for the amount to double is 17.41 years.
Answer:
B. There is an association because the value 0.15 is not similar to the value 0.55
Step-by-step explanation:
Based on the above picture, for the nutritionist to determine whether there is an association between where food is prepared and the number of calories the food contains, there must be an association between two categorical variables.
The conditions that satisfy whether there exists an association between conditional relative frequencies are:
1. When there is a bigger difference in the conditional relative frequencies, the stronger the association between the variables.
2. When the conditional relative frequencies are nearly equal for all categories, there may be no association between the variables.
For the given conditional relative frequency, we can see that there exists a significant difference between the columns of the table in the picture because 0.15 is significantly different from 0.55 and 0.85 is significantly different from 0.45
We can conclude that there is an association because the value 0.15 is not similar to the value 0.55
