For a shift followed by an added value, consider the mean, median, and standard deviation separately. A shift moves the mean without changing spread; adding a value equal to the mean keeps the mean fixed but increases the count. The median comes from the ordered middle positions, so one valid counterexample can disprove a “must” claim. Unchanged distances for the original values don’t mean unchanged standard deviation after a new value joins the set.
Hints
- Hint 1
The mean is the total divided by the number of values. Adding the same amount to every value moves the mean by that amount. What is the mean after the first change, before the extra number is added?
- Hint 2
A median comes from the middle of an ordered list, not necessarily from its mean. Must be true means every valid starting list has to work. Could you find one with the required mean and range whose new middle is different?
- Hint 3
The standard deviation measures spread around the mean. A value added at the mean contributes no new distance from it, but the number of values grows. Why does the given nonzero range matter?
Step-by-step
Track each statistic through both changes
Step 1Find the mean after the shift
The mean is the total divided by the number of values. Since every value in increases by , its mean increases by too. Add to the given mean:
So the mean of is .
- Step 2
Check the mean after adding a number
The added number is , equal to ’s mean. Adding the current mean leaves a mean unchanged: the total gains one mean’s worth as the count gains one value. So , and statement I is true.
- Step 3
Find a valid list to test the median claim
To disprove a claim that must be true, one valid counterexample is enough. The range is the largest value minus the smallest. Choose as the smallest value, so is the largest. Five values with mean must total . Choose two s to keep the middle low, and use for the remaining value so the total is . Try ; type the list, then and . Desmos shows and , so this list meets both conditions.
- Step 4
Shift the test list
Type to apply the same shift to every value in your test list. Desmos displays . The extra belongs between the last and when you put the new list in order.
- Step 5
Check the middle of the new list
Type and . Desmos shows . With six values, the median averages the two middle values, here and . Adding the mean doesn’t guarantee it becomes the median, so statement II does not have to be true.
- Step 6
Compare the standard deviations
Let be the sum of the five squared distances from ’s mean. The standard deviation is the square root of the average of those squares. Shifting every value and its mean by leaves each distance unchanged, so still has sum . The added is zero distance from ’s mean, so the sum stays while the count grows from to :
The range is , so the values aren’t all equal and ; the decrease is strict. Adding a value at the mean keeps the mean but lowers a nonzero standard deviation. Statements I and III must be true, but II needn’t be. Choice B.
Lessons that teach this
- SAT Data AnalysisIntermediateCoreAnalyze changed data and outliers
- SAT Data AnalysisBeginnerFind and interpret center
- SAT Data AnalysisIntermediateReason with range and standard deviation
- DesmosIntermediateCoreSpread, standard deviation, and box plots in Desmos
- DesmosIntermediateMean, median, and frequency tables in Desmos