Categorical data may or may not have some logical order
while the values of a quantitative variable can be ordered and
measured.
Categorical data examples are: race, sex, age group, and
educational level
Quantitative data examples are: heights of players on a
football team; number of cars in each row of a parking lot
a) Colors of phone cover - quantitative
b) Weight of different phones - quantitative
c) Types of dogs - categorical
d) Temperatures in the U.S. cities - quantitative
The app will only let me give one photo at a time, so here's part 1.
Answer:
b)-3
c)17
d)-11
Step-by-step explanation:
4,-7)
-3
Answer:
64x+56 & 24x+56
Step-by-step explanation:
I hope this is what you mean because this is not an equation as it is not set equal to anything.
Both problems solved by distributive property -
8*8x + (8*7) = 64x+56
8*3x + (8*7) = 24x+56
2040 = n/2(20+(n-1)4)
4080 = n(20+4n-4)
4080= 20n +4n^2 -4n
1020 = 4n + n^2
n^2 +4n -1020 =0
use common formula (can't write out so just look at answers. sorry)
which gives answers of n=-34 and n=30. since n can only be positive, n=30 so there are 30 rows. I liked that challenge
