Answer:

Step-by-step explanation:
Let
x ----> the number of minutes
y ----> the total charge in dollars
we know that
For x>700 min

so
For y=48.10
substitute

Multiply by 100 both sides
----> equation without decimals
solve for x

To find out the total minutes we need to sum

Answer:
70%
Step-by-step explanation:
The number of students with an April birthday and candles is in the upper left, 14. That’s the “part” Percentage is part/whole x 100.
To figure out the “whole”, you need to add up all the students in the first row of the table, because those are the April birthdays. 14 + 6 = 20
14/20 = 0.7 x 100 = 70%
Answer:
False
True
False
False
Step-by-step explanation:
1. We have to get the sum as follows :

= 
= 
= 
= 
So, this is false.
2. We have to get the sum as follows :

= 
= 
= 
= 
So, this is true.
3. We have to get the difference as follows :

= 
= 
= 
= 
So, this is false.
4. We have to get the difference as follows :

= 
= 
= 
= 
So, this is also false. (Answer)
Answer:
B. Age of student
D. Time taken to run 1 mile
Step-by-step explanation:
From the list of given options, only B and D satisfy the required condition.
One unique determinant of continuous data is that; they are measured and not counted.
Now, let's categorize option A to D into two
1. Counted data
2. Measured data
Options that fall into the category of measured data are said to be continuous data.
A. Concert attendance; The number of people in a concert is counted
B. The age of a student is measured (in years)
C. Number of pens in a box is counted
D. Time taken to run 1 mile is measured (in units like seconds, minutes, hours, etc...)
In summary; we have
Counted
A. Concert Attendance
C. Number of pens in a box
Measured
B. Age of a student
D. Time taken to run 1 mile
Hence, the continuous data are Age of a student and Time taken to run 1 mile
Answer:
0.0000
Unusual
Step-by-step explanation:
Given that a tobacco company claims that the amount of nicotine in its cigarettes is a random variable with mean 2.2 mg and standard deviation .3 mg.
i.e. population parameters are

The approximate probability that the sample meanwould have been as high or higher than 3.1

=0.0000