At the end of each year, how much money would you earn in interest if you invested $3,500 and earned 4.5% simple interest?
1 answer:
You might be interested in
The difference between Pre-Image and Image is given as follows:
- Image is the shape AFTER a transformation is the picture of the transformation.
- A transformation's preimage is the shape BEFORE the change.
Usually, the difference between image and pre-image is the way or method of transformation.
<h3>What is transformation in math?</h3>A transformation is a broad phrase covering four distinct methods of changing the shape and/or location of a point, line, or geometric figure.
The Pre-Image is the original shape of the item, and the Image during the transformation is the final shape and location of the object.
The types of transformation in math are;
- translation
- rotation
- reflection, and
- dilation.
Learn more about pre-image:
brainly.com/question/8405245
#SPJ1
The greatest common factor between 64 and 24 is 8
Let's divide both terms in the expression by 8 and leave the expression in parenthesis...
Like this!
64x -24
8x - 3
Leave 8 we divided outside the parenthesis
Now we have this!
8( 8x - 3)
This is the distributive property form!
Answer:
The probability that a person will get 17 or more right, if the person is truly guessing, is about 12.9%.
The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.
Step-by-step explanation:
The system of hypothesis fo this case are:
Null hypothesis:
Alternative hypothesis:
That's a upper right tailed test.
The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.
And this value allows to reject or not the null hypothesis.
If we reject the null hypotheis at the significance level. That indicates strong evidence against the null hypothesis, so you reject the null hypothesis.
If then we say that we fail to reject the null hypothesis at the significance level. That indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.