A 32 oz bottle of water costs $1.92. What is the cost per ounce?A. $0.53/oz
B. $5.33/oz
C. $0.60/oz
D. $0.06/oz
Answers
Answer:
cost per ounce is 0.06 per ounce
Step-by-step explanation:
A 32 oz bottle of water costs $1.92.
we need to find the cost of one ounce.
To find the cost of 1 ounce , we need to divide the total cost by 32 oz
cost of 1 oz=
0.06 is the unit price
So, the cost per ounce is 0.06 per ounce
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A population of values has a normal distribution with \( \mu=195.5 \) and \( \sigma=25.3 \). You intend to draw a random sample of size \( n=215 \). Find the probability that the sample mean is greater than 197.2.
Answers
Answers
Answer:
each side of the square is 25cm
Step-by-step explanation:
this is because of two things:
1. a square has equal sides
2. the perimeter is all the sides added together.
so if you call the length of one side x, you can make this equation:
x + x + x + x = 100
combine like terms
4x = 100
divide both sides by 4
x = 100/4
x = 25
Answer:
25 cm
I hope this helps!
Answers
= 3(4 - 7)
= 3(-3)
= -9
Final answer:
The value of the function f(x)=3(4-x) when x=7 is -9. This is calculated by substituting x=7 into the function and simplifying.
Explanation:
To find the value of the function f(x)=3(4-x) when x=7, you should insert x's value into the equation. Therefore, the function takes the form: f(7)=3(4-7). Then you simplify it to: f(7)=3(-3) and further simplification gives: f(7)=-9.
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A data point is 1.3 units below the line of best fit.
The line of best fit has a slope of –1.3
The line of best fit has a slope of 1.3.
Answers
The residual value of 1.3mean when referring to the lineofbestfit of a data set is that a data point is 1.3 units above the line of a data set. This is because the given residual value is positive. So, the data point is above the best fit line.
Residual value:
- A residual value is the standard square error which is calculated from the line of best fit.
- If the residual value 'r' is positive it means the data point is r units above the best fit line.
- If the residual value 'r' is negative it means the data point is r units below the best fit line.
Line of best fit:
A line of best fit refers to a line through a plot of datapoints that best expresses the relationship between those points.
For the given residualvalue of 1.3 mean, a data point is 1.3unitsabove the line of best fit when referring to the line of best fit of a data set. This is because the residual value is positive.
So, Option A is correct.
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Answers
B a + 2b + 3c + 2d + e
C b + d + e
D a - c - e
Answers
a|b.|c|d.|.e|
|1|-1|1|0|0|
|0|1|-1|1|0|
|0|0|1|-1|1|
--------------
|1|0|1|0|1|
sum=a+c+e