Sign In
Median: The additional value decreases the median by $0.05.
Mode: The additional value changes the mode to $8.25 and $8.45.
Student's Hourly Wages | |
---|---|
$16.50 | $8.25 |
$8.75 | $8.45 |
$8.65 | $8.25 |
$9.10 | $9.25 |
The given data has a mean of $9.65, a median of $8.7, and a mode of $8.25. We are asked how these measures will be affected if the park hires another student at an hourly wage of $8.45. Let's analyze each measure of center one at a time.
Substitute values
The median of a numerical data set is the middle number when the values are written in numerical order. If the data set has an even number of values, the mean of the two middle values will be the median. Similarly, we first need to find the median after the student is hired. Let's write the data in numerical order. 8.25, 8.25, 8.45, 8.45, 8.65, 8.75, 9.10, 9.25, 16.50 We can see that the median is now $8.65. Comparing it with the original median, $8.70, we can see that the original median is greater. Let's find the difference of these medians. $8.70- $8.65=$0.05 Therefore, after the student is hired the median decreases by $0.05.
The mode of a data set is the value or values that occur most often. Again, we first need to find the mode for the data with the new wage added. Let's take a look at the given values. 8.25, 8.25, 8.45, 8.45, 8.65, 8.75, 9.10, 9.25, 16.50 This time we have two values that occur most often. Therefore, instead of only having the mode $8.25, it will now be $8.25 and $8.45.
8.25, 8.25, 8.45, 8.45, 8.65, 8.75, 9.10, 9.25, 16.50 First, the mean $9.52 is greater than most of the data. Second, the modes $8.25 and $8.45 do not divide the data into equal groups. Finally, since the median $8.65 splits the data evenly it best represents the data.