The weather report says the temperature is 20°c and will drop 5°c per hour for the next 6 hours.
Temperature drops by 5°c per hour
So we find the temperature after 6 hours
In 1 hour temperature drops= 5°c
So in 6 hours = 6* 5 = 30°c
In 6 hours , temperature drops by 30°c
the actual temperature is 20°c. after 6 hours the temperature becomes
20°c - 30°c= -10°c
So, after 6 hours the temperature will be -10°c
Daryl plans to be gone for at least 6 hours. so its 6 hours or more than 6 hours
In 6 hours or more than 6 hours , the temperature will drop less than -10°c.
So, Daryl should move his plant to a warmer location before leaving
The maximum height of the baseball. Hope this helped :)

For these lines, let

.

And for these, let

.
Now,

The vertices of

in the x-y plane are (0, 2), (2/3, 10/3), (2, 2), and (4/3, 2/3). Applying

to each of these yields, respectively, (2, 2), (2, 4), (-2, 4), and (-2, 2), which are the vertices of a rectangle whose sides are parallel to the u-v plane.
Answer:
Quadrant I and III
Step-by-step explanation:
The coordinate (3,9) is all positive, therefore it lies in quadrant I.
The coordinate (-3,-9) is all negative, therefore it lies in quadrant III.
Answer:
The confidence interval for the difference in proportions is

No. As the 95% CI include both negative and positive values, no proportion is significantly different from the other to conclude there is a difference between them.
Step-by-step explanation:
We have to construct a confidence interval for the difference of proportions.
The difference in the sample proportions is:

The estimated standard error is:

The z-value for a 95% confidence interval is z=1.96.
Then, the lower and upper bounds are:

The confidence interval for the difference in proportions is

<em>Can it be concluded that there is a difference in the proportion of drivers who wear a seat belt at all times based on age group?</em>
No. It can not be concluded that there is a difference in the proportion of drivers who wear a seat belt at all times based on age group, as the confidence interval include both positive and negative values.
This means that we are not confident that the actual difference of proportions is positive or negative. No proportion is significantly different from the other to conclude there is a difference.