The average number of goals per game Peter scores, rounded to one decimal place is 1.6
<u><em>Explanation</em></u>
In first two games Peter scored 2 goals each. So, total score in two games = (2×2)= 4
In one game he scored 0 goal and in next two games he scored 3 goals each, so the total is (3×2)= 6
In the last four games he scored 1 goal in each, so the total is (1×4)= 4
So, the total score in all games
Thus, the average number of goals
So, the average number of goals per game Peter scores, rounded to one decimal place is 1.6
Equation: f(x)=(1/5)x^2 or f(x)=(0.2)x^2
Check:
f(0)=(1/5)(0)^2
f(0)=(1/5)(0)
f(0)=0✓
f(5)=(1/5)(5)^2
f(5)=(1/5)(25)
f(5)=5✓
The answer is going to be yes it's rational. hope that helped
A linear equation would be the best fit, but the last point (-1,-7) kinda messes it up. If the -7 would have been a -6 the line y=-2x-8 would fit perfectly.
Answer:
The 95% margin of error for this estimate is 0.0274 = 2.74 percentage points.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , we have the following confidence interval of proportions.
In which
z is the zscore that has a pvalue of .
The margin of error is:
95% confidence level
So , z is the value of Z that has a pvalue of , so .
72% of Americans said that they had at least one credit card
This means that
Give the 95% margin of error for this estimate.
The 95% margin of error for this estimate is 0.0274 = 2.74 percentage points.