Answer:
The claim that he rate of inaccurate orders is equal to 10% is supported by statistical evidnece at 5% level
Step-by-step explanation:
Given that in a study of the accuracy of fast food drive-through orders, one restaurant had 34 orders that were not accurate among 371 orders observed.
Sample proportion 

(Two tailed test at 5% significance level)
p difference = 
Std error if H0 is true = 
Test statistic Z = p diff/std error
=0.539
p value = 0.5899
Since p > 0.05 accept null hypothesis
The claim that he rate of inaccurate orders is equal to 10% is supported by statistical evidnece at 5% level
We use quadratic formula then
For a expression
The quadratic formula is

If underroot values becomes negative we use iota(i)
which has value=√-1
Pretty sure you’ll save 1 dollar for b and and lose one dollar for a
- <em><u>C</u></em>
- <em><u>B</u></em>
- <em><u>C</u></em>
<em><u>hope </u></em><em><u>it</u></em><em><u> helps</u></em>
<em><u>#</u></em><em><u>c</u></em><em><u>a</u></em><em><u>r</u></em><em><u>r</u></em><em><u>y</u></em><em><u> </u></em><em><u>on</u></em><em><u> learning</u></em>