if a number is decreased by 8%, it becomes 92%, or .92, of the original number.
we can then find the answer by multiplying 89.64 by .92 to get 82.4688
hope this helps! please give brainliest :)
The expression (1/2)[x+10] represents the one half of the sum of a number and 10.
It is defined as the combination of constants and variables with mathematical operators.
We have:
One half of the sum of a number and 10
Let's suppose the number is x:
So from the problem, the one half of the sum of a number and 10 is:
The above expression represents the one half of the sum of a number and 10.
Thus, the expression (1/2)[x+10] represents the one half of the sum of a number and 10.
Learn more about the expression here:
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One half of the sum of a number and 10
n - a number
The value of the two numbers will be -25 and -5.
The mathematical expression combines numerical variables and operations denoted by addition, subtraction, multiplication, and division signs.
Mathematical symbols can be used to represent numbers (constants), variables, operations, functions, brackets, punctuation, and grouping. They can also denote the logical syntax's operation order and other properties.
Given that the difference between the two numbers is 20 and their product is 125. Let the two numbers are x and y.
x - y =20 or x = y + 20
xy = 125
Solve the equations,
y(y+20) = 125
y² + 20y -125 =0
y² +25y - 5y -125=0
y(y + 25) --5(y + 25) = 0
( y + 25 )( y - 5 ) = 0
y = -25 and y = 5
x = y + 20
x = -25 + 20
x = -5
Therefore, the value of the two numbers will be -25 and -5.
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#SPJ5
Fill the boxes using (1, 3, 5, 7, 9, 11, 13, 15)
U can also repeat the numbers..
B. Fail to reject the null hypothesis.
C. Reject the null hypothesis and conclude the mean is lower than $6,000 per day.
D. Reject the null hypothesis and conclude the mean is higher than $6,000 per day.
Answer:
Option B) Fail to reject the null hypothesis.
Step-by-step explanation:
We are given the following in the question:
Population mean, μ = $6,000
Sample mean, = $6,300
Sample size, n = 49
Alpha, α = 0.01
Population standard deviation, σ = $1,000
First, we design the null and the alternate hypothesis
We use one-tailed(right) z test to perform this hypothesis.
Formula:
Putting all the values, we have
Now,
Since,
We fail to reject the null hypothesis and accept the null hypothesis. Thus, we conclude that sales have not increased as a result of the advertising campaign
Option B) Fail to reject the null hypothesis.