All Algebra 1 Resources
Example Questions
Example Question #525 : Statistics And Probability
The number of counties in states is given for five states:
What is the mode?
The mode is the number that occurs most often in a data set.
Because 14 appears twice and each other number occurs only once, 14 is the mode.
Example Question #526 : Statistics And Probability
The number of chairs inside houses is given for twelve houses on a street:
What is the mode?
The mode is the number that occurs most often in a data set.
Because 22 appears four times and each other number occurs either once, twice, or three times, 14 is the mode.
Example Question #527 : Statistics And Probability
The number of free throws made by players at practice is as follows:
What is the mode?
The mode is the number that occurs most often in a data set.
Because 8 appears five times and each other number occurs three or four time, 8 is the mode.
Example Question #528 : Statistics And Probability
The number of pieces accumulated by individuals within a group of trick-or-treaters is as follows:
What is the mode?
The mode is the number that occurs most often in a data set.
Because 137 is the only number to appear more than once, 137 is the mode.
Example Question #161 : How To Find Mode
Find the mode of the data set:
16, 13, 14, 19, 15, 16, 15, 17, 20, 19, 16, 14
17
14
13
16
15
16
The mode is the value that appears the most in a set of data, so 16 is the mode because it appears three times in the data set.
Example Question #170 : How To Find Mode
On a recent algebra test, students achieved the following scores:
Student 1:
Student 2:
Student 3:
Student 4:
Student 5:
Student 6:
Student 7:
Student 8:
Student 9:
Student 10:
What is the mode of these test scores?
Remember that the mode is simply the score that appears the most often. In this case, that is . (There are two students who scored a , but there are three who scored an .)
Example Question #1 : How To Find Interquartile Range
Given the following set of data, what is twice the interquartile range?
How do you find the interquartile range?
We can find the interquartile range or IQR in four simple steps:
- Order the data from least to greatest
- Find the median
- Calculate the median of both the lower and upper half of the data
- The IQR is the difference between the upper and lower medians
Step 1: Order the data
In order to calculate the IQR, we need to begin by ordering the values of the data set from the least to the greatest. Likewise, in order to calculate the median, we need to arrange the numbers in ascending order (i.e. from the least to the greatest).
Let's sort an example data set with an odd number of values into ascending order.
Now, let's perform this task with another example data set that is comprised of an even number of values.
Rearrange into ascending order.
Step 2: Calculate the median
Next, we need to calculate the median. The median is the "center" of the data. If the data set has an odd number of data points, then the mean is the centermost number. On the other hand, if the data set has an even number of values, then we will need to take the arithmetic average of the two centermost values. We will calculate this average by adding the two numbers together and then dividing that number by two.
First, we will find the median of a set with an odd number of values. Cross out values until you find the centermost point
The median of the odd valued data set is four.
Now, let's find the mean of the data set with an even number of values. Cross out values until you find the two centermost points and then calculate the average the two values.
Find the average of the two centermost values.
The median of the even valued set is four.
Step 3: Upper and lower medians
Once we have found the median of the entire set, we can find the medians of the upper and lower portions of the data. If the data set has an odd number of values, we will omit the median or centermost value of the set. Afterwards, we will find the individual medians for the upper and lower portions of the data.
Omit the centermost value.
Find the median of the lower portion.
Calculate the average of the two values.
The median of the lower portion is
Find the median of the upper portion.
Calculate the average of the two values.
The median of the upper potion is
If the data set has an even number of values, we will use the two values used to calculate the original median to divide the data set. These values are not omitted and become the largest value of the lower data set and the lowest values of the upper data set, respectively. Afterwards, we will calculate the medians of both the upper and lower portions.
Find the median of the lower portion.
The median of the lower portion is two.
Find the median of the upper portion.
The median of the upper portion is eight.
Step 4: Calculate the difference
Last, we need to calculate the difference of the upper and lower medians by subtracting the lower median from the upper median. This value equals the IQR.
Let's find the IQR of the odd data set.
Finally, we will find the IQR of the even data set.
In order to better illustrate these values, their positions in a box plot have been labeled in the provided image.
Now that we have solved a few examples, let's use this knowledge to solve the given problem.
Solution:
First, we need to put the data in order from smallest to largest.
= median of the overall data set
= median of the lower half of the data
= median of the upper half of the data
is the overall median, leaving as the lower half of the data and as the upper half of the data.
The median of the lower half falls between two values.
The median of the upper half falls between two values.
The interquartile range is the difference between the third and first quartiles.
Multiply by to find the answer:
Example Question #1 : How To Find Interquartile Range
Determine the interquartile range of the following numbers:
42, 51, 62, 47, 38, 50, 54, 43
None of these
How do you find the interquartile range?
We can find the interquartile range or IQR in four simple steps:
- Order the data from least to greatest
- Find the median
- Calculate the median of both the lower and upper half of the data
- The IQR is the difference between the upper and lower medians
Step 1: Order the data
In order to calculate the IQR, we need to begin by ordering the values of the data set from the least to the greatest. Likewise, in order to calculate the median, we need to arrange the numbers in ascending order (i.e. from the least to the greatest).
Let's sort an example data set with an odd number of values into ascending order.
Now, let's perform this task with another example data set that is comprised of an even number of values.
Rearrange into ascending order.
Step 2: Calculate the median
Next, we need to calculate the median. The median is the "center" of the data. If the data set has an odd number of data points, then the mean is the centermost number. On the other hand, if the data set has an even number of values, then we will need to take the arithmetic average of the two centermost values. We will calculate this average by adding the two numbers together and then dividing that number by two.
First, we will find the median of a set with an odd number of values. Cross out values until you find the centermost point
The median of the odd valued data set is four.
Now, let's find the mean of the data set with an even number of values. Cross out values until you find the two centermost points and then calculate the average the two values.
Find the average of the two centermost values.
The median of the even valued set is four.
Step 3: Upper and lower medians
Once we have found the median of the entire set, we can find the medians of the upper and lower portions of the data. If the data set has an odd number of values, we will omit the median or centermost value of the set. Afterwards, we will find the individual medians for the upper and lower portions of the data.
Omit the centermost value.
Find the median of the lower portion.
Calculate the average of the two values.
The median of the lower portion is
Find the median of the upper portion.
Calculate the average of the two values.
The median of the upper potion is
If the data set has an even number of values, we will use the two values used to calculate the original median to divide the data set. These values are not omitted and become the largest value of the lower data set and the lowest values of the upper data set, respectively. Afterwards, we will calculate the medians of both the upper and lower portions.
Find the median of the lower portion.
The median of the lower portion is two.
Find the median of the upper portion.
The median of the upper portion is eight.
Step 4: Calculate the difference
Last, we need to calculate the difference of the upper and lower medians by subtracting the lower median from the upper median. This value equals the IQR.
Let's find the IQR of the odd data set.
Finally, we will find the IQR of the even data set.
In order to better illustrate these values, their positions in a box plot have been labeled in the provided image.
Now that we have solved a few examples, let's use this knowledge to solve the given problem.
Solution:
First reorder the numbers in ascending order:
38, 42, 43, 47, 50, 51, 54, 62
Then divide the numbers into 2 groups, each containing an equal number of values:
(38, 42, 43, 47)(50, 51, 54, 62)
Q1 is the median of the group on the left, and Q3 is the median of the group on the right. Because there is an even number in each group, we'll need to find the average of the 2 middle numbers:
The interquartile range is the difference between Q3 and Q1:
Example Question #1 : How To Find Interquartile Range
The interquartile range is the difference in value between the upper quartile and lower quartile.
Find the interquartile range of the following data set:
How do you find the interquartile range?
We can find the interquartile range or IQR in four simple steps:
- Order the data from least to greatest
- Find the median
- Calculate the median of both the lower and upper half of the data
- The IQR is the difference between the upper and lower medians
Step 1: Order the data
In order to calculate the IQR, we need to begin by ordering the values of the data set from the least to the greatest. Likewise, in order to calculate the median, we need to arrange the numbers in ascending order (i.e. from the least to the greatest).
Let's sort an example data set with an odd number of values into ascending order.
Now, let's perform this task with another example data set that is comprised of an even number of values.
Rearrange into ascending order.
Step 2: Calculate the median
Next, we need to calculate the median. The median is the "center" of the data. If the data set has an odd number of data points, then the mean is the centermost number. On the other hand, if the data set has an even number of values, then we will need to take the arithmetic average of the two centermost values. We will calculate this average by adding the two numbers together and then dividing that number by two.
First, we will find the median of a set with an odd number of values. Cross out values until you find the centermost point
The median of the odd valued data set is four.
Now, let's find the mean of the data set with an even number of values. Cross out values until you find the two centermost points and then calculate the average the two values.
Find the average of the two centermost values.
The median of the even valued set is four.
Step 3: Upper and lower medians
Once we have found the median of the entire set, we can find the medians of the upper and lower portions of the data. If the data set has an odd number of values, we will omit the median or centermost value of the set. Afterwards, we will find the individual medians for the upper and lower portions of the data.
Omit the centermost value.
Find the median of the lower portion.
Calculate the average of the two values.
The median of the lower portion is
Find the median of the upper portion.
Calculate the average of the two values.
The median of the upper potion is
If the data set has an even number of values, we will use the two values used to calculate the original median to divide the data set. These values are not omitted and become the largest value of the lower data set and the lowest values of the upper data set, respectively. Afterwards, we will calculate the medians of both the upper and lower portions.
Find the median of the lower portion.
The median of the lower portion is two.
Find the median of the upper portion.
The median of the upper portion is eight.
Step 4: Calculate the difference
Last, we need to calculate the difference of the upper and lower medians by subtracting the lower median from the upper median. This value equals the IQR.
Let's find the IQR of the odd data set.
Finally, we will find the IQR of the even data set.
In order to better illustrate these values, their positions in a box plot have been labeled in the provided image.
Now that we have solved a few examples, let's use this knowledge to solve the given problem.
Solution:
The first step (as with most data set problems) is to rearrange the data set from least to greatest value:
To find the lower quartile ()'s position, we use the equation , where n is the number of data points in the set.
Thus, our lower quartile is at position. Since this is a non-integer, we must include a further equation.
Since our 3rd number is 2, and our 4th number is 3, we need to find 1/4 of the way between 2 and 3. We will use the equation
, where is our lower value, is our upper value, and is the fractional distance between them we need to find. Since is here, our equation becomes
Thus, our
We can repeat the process above to find the upper quartile (), but we must multiply our original equation by 3. Thus, our equation becomes
, where is still the number of data points in the set. will be at the
position, so we must find the value of the way between the and data point in the set. With and as our values for the and data point, our equation becomes
So, our .
The last step is easy by comparison. Subtract from to get our interquartile range:
Thus, our interquartile range is .
Example Question #1 : How To Find Interquartile Range
The interquartile range is the difference in value between the upper quartile and lower quartile.
Find the interquartile range for the data set.
How do you find the interquartile range?
We can find the interquartile range or IQR in four simple steps:
- Order the data from least to greatest
- Find the median
- Calculate the median of both the lower and upper half of the data
- The IQR is the difference between the upper and lower medians
Step 1: Order the data
In order to calculate the IQR, we need to begin by ordering the values of the data set from the least to the greatest. Likewise, in order to calculate the median, we need to arrange the numbers in ascending order (i.e. from the least to the greatest).
Let's sort an example data set with an odd number of values into ascending order.
Now, let's perform this task with another example data set that is comprised of an even number of values.
Rearrange into ascending order.
Step 2: Calculate the median
Next, we need to calculate the median. The median is the "center" of the data. If the data set has an odd number of data points, then the mean is the centermost number. On the other hand, if the data set has an even number of values, then we will need to take the arithmetic average of the two centermost values. We will calculate this average by adding the two numbers together and then dividing that number by two.
First, we will find the median of a set with an odd number of values. Cross out values until you find the centermost point
The median of the odd valued data set is four.
Now, let's find the mean of the data set with an even number of values. Cross out values until you find the two centermost points and then calculate the average the two values.
Find the average of the two centermost values.
The median of the even valued set is four.
Step 3: Upper and lower medians
Once we have found the median of the entire set, we can find the medians of the upper and lower portions of the data. If the data set has an odd number of values, we will omit the median or centermost value of the set. Afterwards, we will find the individual medians for the upper and lower portions of the data.
Omit the centermost value.
Find the median of the lower portion.
Calculate the average of the two values.
The median of the lower portion is
Find the median of the upper portion.
Calculate the average of the two values.
The median of the upper potion is
If the data set has an even number of values, we will use the two values used to calculate the original median to divide the data set. These values are not omitted and become the largest value of the lower data set and the lowest values of the upper data set, respectively. Afterwards, we will calculate the medians of both the upper and lower portions.
Find the median of the lower portion.
The median of the lower portion is two.
Find the median of the upper portion.
The median of the upper portion is eight.
Step 4: Calculate the difference
Last, we need to calculate the difference of the upper and lower medians by subtracting the lower median from the upper median. This value equals the IQR.
Let's find the IQR of the odd data set.
Finally, we will find the IQR of the even data set.
In order to better illustrate these values, their positions in a box plot have been labeled in the provided image.
Now that we have solved a few examples, let's use this knowledge to solve the given problem.
Solution:
As always, rearranging the data set helps us immensely:
-->
To find , we use the equation , where is the number of points in our data set.
, so our lower quartile is the number in the set, or .
To find , we use the equation instead.
, so our upper quartile is the number in the set, or .
Lastly, our interquartile range is , so is our interquartile range.
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