Answer:
1. Vertex: (4,26)
X-intercept: (9.09,0)(-1.09)
2. Vertex: (-4,-6)
X-intercept: (-1.55,0)(-6.44,0)
Step-by-step explanation:
Question: How do you solve [3.2 x (6.1 x 6.3)] - 2.8 with PEMDAS?
PEMDAS is the order of operations with which you solve an equation. So first parentheses, then exponents, then multiplication, then division, then addition, and last subtraction.
Answer: First, you solve the parentheses in the parentheses:
>6.1 x 6.3 = 38.43
Now ur equation is: (3.2 x 38.43) - 2.8
Now you solve what's inside this parentheses:
>3.2 x 38.43 = 122.976
Now you do the subtraction, because you have already solved all of what's in the parentheses:
>122.976 - 2.8 = 120. 176
And so, your answer is 120.176
This is what your equation should look like when you're solving:
>[3.2 x (6.1 x 6.3)] - 2.8 = y
>[3.2 x (38.43)] - 2.8 = y
>(3.2 x 38.43) - 2.8 = y
>122.976 - 2.8 = y
>122.976 - 2.8 = 120. 176
Answer:34%
Step-by-step explanation:I think this is right but I don’t really understand
Answer:
The 80% confidence interval for the population proportion of disks which are defective is (0.059, 0.079).
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of 
, and a confidence level of 
, we have the following confidence interval of proportions.
In which
z is the zscore that has a pvalue of 
.
Suppose a sample of 1067 floppy disks is drawn. Of these disks, 74 were defective.
This means that 
80% confidence level
So 
, z is the value of Z that has a pvalue of 
, so 
.
The lower limit of this interval is:
The upper limit of this interval is:
The 80% confidence interval for the population proportion of disks which are defective is (0.059, 0.079).
A measure of central tendency (measure of center) is a value that attempts to describe a set of data by identifying the central position of the data set (as representative of a "typical" value in the set). We are familiar with measures of central tendency called the mean<span>, </span>median<span> and mode.
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