The function shown models the depth d (in inches) of snow on the ground during the first 9 hours of a snowstorm, where t is the
1 answer:
<em>Complete Question:</em>
<em>The function shown models the depth d (in inches) of snow on the ground during the first 9 hours of a snowstorm, where t is the time (in hours) after the snowstorm begins. </em>
<em> The -intercept means that there were[ ]inch(es) of snow on the ground at the start of the storm and the slope means that[ ]inch(es) of snow falls every hour during the storm. </em>
<em>Function: d(t)= 1/2t+6</em>
Answer:
Step-by-step explanation:
Given
Required
Determine the y intercept and the slope
y-intercept:
A function has a format of:
Where b represent the y intercept:
By comparison of and
Slope:
A function has a format of:
Where m represent the slope
By comparison of and
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Answer:
= 78
= 3.5
Step-by-step explanation:
First we need to find .
We can use the equation to solve for
.
We can then change that equation to , since the Commutative Property of Addition says that you can have any addition in any order.
Now, we can solve the equation.
Now that we solved , we can now solve for
.
Since 25 equals , we can solve the equation
.
Here is how you solve it:
Since equals 3.5, which is the simplest form, that is the answer.
Hope this helps, and please mark me brainliest! :)
The plot that organizes the data into 4 groups of equal sizes is box and whisker plot.
The image below shows a box and whisker plot. Following are the elements of box and whisker plot:
Minimum = This is the smallest value of the data set
Q1 = First (Lower) Quartile of the data set. 25% of the data values lie below this point
Q2 = Second Quartile or Median. This is the central value so 50% of the data values lie below this point
Q3 = Third (Upper) Quartile of the data set. 75% of the data values lie below this point.
Maximum = This is the maximum value of the data set.
Based on box and whisker plot we can compare two or more sets of data by comparing the spread of the data. We can also directly observe from the box and whisker plot if the data is uniform, normal or skewed. Using box and whisker plot we can also visualize any outliers that may be in the data.
