Across
- 3. This is the median of the set. It falls in the middle of the numbers.
- 5. This is the difference between Q3 and Q1. You need to be able to identify the quartiles to identify this.
- 6. This means that one thing causes the other. There is a cause and effect.
- 9. Shape, This is a kind of shape on a data set. The data is symmetrical.
- 10. This is the difference between the lowest and highest value. You subtract the two numbers.
- 11. Plot, This plot displays the five number series. It represents each of their values.
- 13. Right, This is not a symmetric shape. The right tail is shorter than the left.
- 14. Left, This is not a symmetric shape. The left tail is shorter than the right.
- 17. This is not a symmetric shape. The right tail is shorter than the left.
- 18. Symmetric bimodal, There are two visible central points. But, they are not symmetrical.
- 19. Absolute Deviation, This locates absolute deviants from a central point. You find the difference between the data value and the mean value.
- 20. This is the number that is found between the smallest value and the median. It indicates the lower portion of the set.
Down
- 1. This is the middle number of a list of numbers. You list the numbers by value and look for the middle number.
- 2. This is a plot where you can display data. It shows you the underlying frequency of these numbers.
- 3. This falls between the median and the highest value of the set. It is also the upper portion of this set.
- 4. Symmetry, This is when two symmetrical shapes in datasets. It is visible there are two peaks.
- 6. It is a way to measure the relationship between two sets of data. This means two data sets are being observed at the same time
- 7. Spread, This is how data is spread across. This is when data clusters around the central point.
- 8. This is the number that is seen most often. The most frequent number.
- 12. The average of numbers. You find it by adding all the numbers and dividing the sum by the amount of numbers there were.
- 15. Spread, This is the description of how data is spread across. This is when data falls from the central point.
- 16. A data plot that significantly differs from the rest of the plots. This plot can be visually seen.