Practice Center vs Spread in Math
Use these practice problems to test your method after reviewing the concept explanation and worked examples.
Quick Recap
Center and spread are two complementary ways to describe a data distribution. Center (mean, median, mode) tells you where values cluster; spread (range, interquartile range, standard deviation) tells you how far values are from that center. Together they give a complete picture of any dataset.
Where is the data located? How spread out is it around that location?
Showing a random 20 of 50 problems.
Example 1
mediumA dataset has mean and every value is increased by . What are the new mean and the new standard deviation compared to before?
Example 2
hardTwo factories produce nails of target length mm. Factory P: mean , SD . Factory Q: mean , SD . Without computing any probabilities, explain which factory's nails are more likely to meet a tolerance of mm.
Example 3
mediumA dataset's MAD is . What does that tell you about the data?
Example 4
mediumClass A test scores: . Class B: . Compute the mean and SD (population) of each and explain what they tell a teacher.
Example 5
challengeTwo datasets have the same mean and same range , but dataset X is tightly bunched near with two extreme values, while Y is evenly spread. Can range distinguish their spreads, and what measure would?
Example 6
easyFor the sorted data , find the median.
Example 7
mediumA dataset has variance . What is its standard deviation?
Example 8
easyIs the range a measure of center or spread?
Example 9
easyWhich value (mean or median) is more affected by an extreme outlier?
Example 10
easyA dataset has every value equal to . What are its mean and standard deviation?
Example 11
mediumDataset: . Compute the population variance.
Example 12
mediumCompute the IQR of .
Example 13
hardShow that adding a single very large outlier always increases the range but may not increase the IQR.
Example 14
easyTwo datasets both have mean . One has SD , the other SD . Which is more spread out?
Example 15
easyFor the data : calculate the mean (center) and standard deviation (spread), then explain why both are needed to describe the data.
Example 16
easyFind the range of .
Example 17
mediumData: . Compare the mean and median, and state which better represents the typical value.
Example 18
mediumFor , the mean is . Compute the variance (average squared deviation).
Example 19
mediumFor , find the mean and the mean absolute deviation (MAD).
Example 20
easyFind the range of .