Answer:
Step-by-step explanation:
Composite number
a whole number that has factors other than just 1 and itself
Divisible
able to be divided by a given whole number without a remainder
Factor
a whole number that divides into another number without a remainder
Factor tree
a tree-like structure that uses branches to show the factors of a number
Multiple
the product of a given number and another whole number
Prime factorization
an expression that shows a number expressed as a product of prime numbers
prime number
a whole number that has only two factors, 1 and itself
product
the answer to a multiplication problem
GCF
greatest common factor of a set of numbers
I think the answer is h=-24
<span>B-Slope
</span>
<span>C-rate of change
</span>
It introduces the relationship between two variables and is called correlation. Proportionality or variation is state of relationship or correlation between two variables It has two types: direct variation or proportion which states both variables are positively correlation. It is when both the variables increase or decrease together. On the contrary, indirect variation or proportion indicates negative relationship or correlation. Elaborately, the opposite of what happens to direct variation. One increases with the other variables, you got it, decreases. This correlations are important to consider because you can determine and identify how two variables relates with one another. Notice x = y (direct), y=1/x (indirect)
Answer:
21.64
Step-by-step explanation:
7.7+0.94+13=21.64
Answer:
<h3>"When constructing a confidence interval for a population mean, if a population is normally distributed and a small sample is taken, then the distribution of is based on the <u> "t" </u>distribution</h3>
Step-by-step explanation:
Given that "When constructing a confidence interval for a population mean, if a population is normally distributed and a small sample is taken, then the distribution of is based on the "<u>t"</u>distribution."
Because the given sample size is smaller so we have to use the "t" distribution for constructing the confidence interval for a given population
