Let the number of years Brad has been on the soccer team be represented by x, and let y represent the number of years Scott has been on the same team.
From the information given, we formulate the equations:
5y - 2 = x -----(1)
x + y = 10 -----(2)
Now, substituting equation (1) into equation (2):
5y - 2 + y = 10
6y - 2 = 10
6y = 12
y = 2
Next, substituting this value back to find x:
x = 5×2 - 2
x = 8
So, Brad has spent a total of 8 years in the team.
Response:
A) The preferred colors of kindergarten students
B) The growth heights of tomato plants that were all planted on the same day
E) The age ratings (G, PG, PG-13, R) assigned to films released in 2019
Clarification:
A normal distribution is characterized by a bell-shaped curve where a majority of data points cluster near the average. Instances pertaining to intelligence, height, blood pressure, student evaluations, shoe sizes, birth weights, citizen incomes, stock market data, and random events like rolling dice or flipping coins, are examples that can be well-described using a normal distribution. The central limit theorem is applicable here, considering that various independent factors impact a particular characteristic.
3 and 4 are the ones everyone.
I accomplished it on my own.
Answer:
The system transitioned from having no solution to having a solution.
Step-by-step explanation:
Step 1
Consider the following inequalities:
----> inequality A
----> inequality B
Graph the inequalities using a graphing tool.
Initially, there is no solution, as the dashed lines are parallel.
Refer to figure N 1.
Step 2
Now take these:
----> inequality A
----> inequality B
Using a graphing tool, solve the system of inequalities.
The solution will be represented by the shaded region between the two dashed lines.
See figure N 2.
Thus, the system shifted from having no solution to having one.
Answer:
The points appear scattered haphazardly without any observable pattern.
The total point count matches that of the scatterplot.
Step-by-step explanation:
In a residual plot associated with a well-fitting line of best fit from a scatterplot, the points are distributed randomly with no discernible pattern (neither linear nor curved).
The count of points in this residual plot will consistently equal the count in the original scatterplot.
It is irrelevant if the points are evenly distributed above and below the x-axis in the residual plot.
The y-values for the points do not correspond to those in the scatterplot.
