The formula used to calculate simple interest is modeled by I=prt, where I=simple interest, p=principle, r=interest rate, and t=
2 answers:
Step-by-step explanation:
The formula for simple interest is as follows.
I = prt
where, I = simple interest
p = principle
r = rate
t = time
This formula can be alternatively written by shifting I, r, t, and p either on the right or left side of equals sign.
Therefore, the formula can be rewritten as follows.
- I = trp
You might be interested in
Answer:
Step-by-step explanation:
Assuming that a fair die is rolled.
- The sample space is 1, 2, 3, 4, 5, 6 and all the outcomes are equally likely.
Let X be the set of all possible outcomes. Let A be an outcome.
So, the probability that A occurs is:
As the set of all possible outcomes of the roll of a single die is:
Observe that
Here
because 8 is not in the set sample space. So, the outcome of occurring the number 8 is not possible from the all possible outcomes.
So, the probability must be zero.
In other words,
Therefore,
Answer:
The appropriate conclusion that answers the question stated in step one is:
- The weak correlation value does not support the idea that beavers benefit beetles.
- The largest number of beetle larvae was 55 and the largest number of stumps was 5.
Step-by-step explanation:
1) Select the appropriate practical question.
The appropriate practical question is:
"How does the number of beaver-caused stumps influences the number of beetle larvae clusters?"
2) Make a scatter plot.
The scatter plot is attached below.
From the scatter plot it can be seen that there exists a negative relationship between beaver stumps and beetle larvae. That is as the number of stumps increases the number of beetle larvae decreases.
The maximum number of beaver stumps found is 5.
3)
The best numerical summary for this problem are,
Correlation and regression line
The least square regression line for predicting the number of beetle larvae from the number of stumps is:
<em>y</em> = 31.594 - 2.8365 <em>x</em>.
Use the Excel function "=CORREL(array1,array2)" to compute the correlation.
The correlation value is, <em>r</em> = -0.219.
Both the correlation coefficient and regression line explains a negative relationship between the number of beetle larvae and the number of stumps.
Values amid 0 and 0.3 (0 and -0.3) implies a weak positive (negative) linear relationship amid the variables.
Thus, a correlation coefficient, r = -0.219, indicates a weak negative correlation between two variables.
Thus, the appropriate conclusion that answers the question stated in step one is:
- The weak correlation value does not support the idea that beavers benefit beetles.
- The largest number of beetle larvae was 55 and the largest number of stumps was 5.
