The possible problems of using graphs to find roots are:
- Having complex roots.
- Having irrational roots.
<h3>How to find the roots of a quadratic function with a graph?</h3>
First, the roots of a quadratic function are the values of x such that:
a*x^2 + b*x + c = 0
To find the roots using a graph, we need to see at which values of x does the graph of the parabola intercepts the horizontal axis.
<h3>What are the possible problems with this method?</h3>
There are two, the first one is having irrational roots, in that case, an analytical or numerical approach will give us a better estimation of the roots. Finding irrational values by looking at the intercepts of the graph can be really hard, so in these cases using the graph to find the roots is not the best option.
The other problem is if we <u>don't have real roots</u>, this means that the graph never does intercept the horizontal axis. In these cases, we have complex roots, that only can be obtained if we solve the problem analytically.
If you want to learn more about quadratic functions, you can read:
brainly.com/question/7784687
Answer:
50
Step-by-step explanation:
Answer:
8.) 3
9.) x+5
10.) 50x/2x-5
11. 3n4-n3(cubed)/n3+n2-n-1
Step-by-step explanation:
Idk honestly, haven’t cryied since I ate a warhead
Answer:
The best conclusion that can be made based on the data on the dot plot is:
The mean difference is not significant because the re-randomization show that it is within the range of what could happen by chance.
Step-by-step explanation:
Randomization is the standard used to compare the observational study and balance the factors between the treatment groups and eliminate the variables' influence. Some studies analyze that the treatment in the randomization calculates the appropriate number of the subjects as the treatment to memorize is 8.9, and the treatment for the B is 12.1 words.
The mean difference is not significant because the re-randomization shows that it is within the range of what could happen by chance.
The treatment group using technique A reported a mean of 8.9 words.
The treatment group using technique B reported a mean of 12.1 words.
After the data are re-randomized, the differences of means are shown in the dot plot.
The result is significant because the re-randomization show that it is outside the range. The best conclusion that can be made based on the data on the dot plot is:
The mean difference is not significant because the re-randomization show that it is within the range of what could happen by chance.
