Answer:
<em>She needs to add no fertilizer, option A)</em>
Step-by-step explanation:
<u>Equation of a Line:</u>
According to the conditions of the question, being x the ounces of fertilizer Olivia adds to the soil, and y the number of blooms each rose bush has, the relation between them is
It's bee required to compute the value of x such that the roses have 4 blooms, thus
Solving for x
This means she needs to add no fertilizer, option A)
Answer:
x= 3/8
Step-by-step explanation:
In pic
(hope this helps can I pls have brainlist (crown) ☺️)
Answer: If the hypotenuse is 7, the other 2 sides are 
0r about = 4.95
Step-by-step explanation: in a 45-45-90 triangle, the legs are equal.
a² + b² = c² . 2(a²) = 49 a² = 49/2
So find the square root of 24.5
=4.949747468 .round to 4.95
Answer:
1:12
2:-32
3: -35
4: -10
5: 24
6: 90
7: 41. I used the properties of multiplication to find the product by multiplying 41•1=41 and the 2 negatives cancel each other out.
8: the product is -80. What she could've done is forgot to add the negative sign.
Step-by-step explanation:
The correct answer is F. Quantitative data are numerical in nature, while qualitative data are categorical in nature.
Explanation:
In research and all the different fields that apply to it, the word "data" refers to information, values or knowledge that can be used to understand a specific situation or phenomenon. Additionally, data can be of two different types quantitative and qualitative, these differ in their nature, the phenomenons they described and the way they should be analyzed. Indeed quantitative data refers mainly to numerical data or information about quantities such as statistics that are especially useful in mathematics, science and similar that focus on numbers. On the other hand, qualitative data refers to data based on categories or qualities and because of this qualitative data is used in humanistic research, although both types of data can be combined to study a phenomenon. Considering this, the key difference between both types of data is "Quantitative data are numerical in nature, while qualitative data are categorical in nature".
