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![2 \times \frac{1}{2} hour = 1hour \\](https://tex.z-dn.net/?f=2%20%5Ctimes%20%20%5Cfrac%7B1%7D%7B2%7D%20hour%20%3D%201hour%20%5C%5C%20)
Thus ;
![2 \times \frac{5}{12} \: \: miles = \frac{10}{12} \: \: miles = \frac{5}{6} \: \: miles \\](https://tex.z-dn.net/?f=2%20%5Ctimes%20%20%5Cfrac%7B5%7D%7B12%7D%20%20%5C%3A%20%20%5C%3A%20miles%20%3D%20%20%5Cfrac%7B10%7D%7B12%7D%20%20%5C%3A%20%20%5C%3A%20miles%20%3D%20%5Cfrac%7B5%7D%7B6%7D%20%20%5C%3A%20%20%5C%3A%20miles%20%20%5C%5C%20)
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Answer:
The linear term is -5x
Step-by-step explanation:
The linear term is the term that has the degree equal to 1.
The given function is
y = 2x^2 − 5x − 12
here 2x^2 = quadratic term i.e having degree 2
-5x = linear term i.e having degree 1
-12 = constant
so, The linear term is -5x
Answer:
( $74.623, $83.777)
The 90% confidence interval is = ( $74.623, $83.777)
Critical value at 90% confidence = 1.645
Step-by-step explanation:
Confidence interval can be defined as a range of values so defined that there is a specified probability that the value of a parameter lies within it.
The confidence interval of a statistical data can be written as.
x+/-zr/√n
Given that;
Mean x = $79.20
Standard deviation r = $10.41
Number of samples n = 14
Confidence interval = 90%
Using the z table;
The critical value that should be used in constructing the confidence interval.
z(α=0.05) = 1.645
Critical value at 90% confidence z = 1.645
Substituting the values we have;
$79.20+/-1.645($10.42/√14)
$79.20+/-1.645($2.782189528308)
$79.20+/-$4.576701774067
$79.20+/-$4.577
( $74.623, $83.777)
The 90% confidence interval is = ( $74.623, $83.777)
Step-by-step explanation:
follow the above attachment, hope this helps you.