To solve this
problem, we will have to make use of the z statistic. The formula for the z
score is given as:
z = (x – u) / s
where,
x is the sample value = more than $10.00
u is the sample mean = $8.22
s is the standard deviation = $1.10
Substituting the values into the equation to solve for z:
<span>z = (10 – 8.22) /
1.10</span>
z = 1.78 / 1.10
z = 1.62
We then look for the p value using the standard
distribution tables at the specified z score value = 1.62. Since this is a
right tailed test, therefore the p value is:
p = 0.0526
or
p = 5.26%
<span>Therefore there is a 5.26% probability that a household
spent more than $10.00</span>
(1/4)x-5=8
Add 5 to both sides
(1/4)x=13
Multiply both sides by 4
x=52
Final answer: x=52
-1
7(4÷7)-5
Write the division as a fraction
4-5
-1
hope it helps..
Step-by-step explanation:
the answer is 2/9
2/9 is .2222222 continuing
2/10 is 0.2
22/1000 is 0.022
2/8 is 0.25
Your answer is 9.042÷2.1=4.305
