GUIDE, PRACTICE QUESTIONS & EXAM REVIEW
1. whole numbers: Numbers that do not contain decimals or fractions
2. Integers: Whole numbers and their opposites
3. rational numbers: All positive and negative integers, fractions and decimal numbers.
4. Real numbers: Any number that can be placed on a number line. Including numbers that do not end, and
number liкe pi
5. A Set: A collection of numbers
6. Discrete: Values that are distinct, separate and unconnected
7. Continuous: Values in a set that are connected, without gaps
8. Quantitative Data: Consists of data values that are numerical, representing qualities that can be counted
or measured
9. Categorical data: Also called qualitative data. Consists of data that are groups, such as names or labels,
and are not necessarily numerical.
10. Graphical displays: Visual displays of data sets
11. data set: Any collection of numeric values, such as measurements, observations, or survey responses
12. Distribution: An arrangement of values that illustrates their frequency or occurrence
13. Pie chart: A graphical display that shows data in categories as percentages of a circle
14. Bar chart: A graph that displays data that is distributed over groups or categories
15. Relative frequency: A way to approximate a percentage by dividing the number of times an event
occurred in an experiment by the total number of trials.
16. frequency distribution: A record of the number of times data occurs within a certain category
17. Dot plot: A graphical representation of data that plots the frequency of data along a horizontal line
18. Outliers: An observation point (number) that is significantly distant from the other observations in the dataset
19. Stem plots: A visual representation of data in which individuals data points are plotted to the right of a
horizontal line, or chart, and the left (the "stem") shows the interval categories
20. Box plot: A graphical rendering of the range and the first and third quartiles of a data set with the data set's
median in between
21. Measure of central tendency: A summary measure that is used to describe an entire set of data
with one value that represents the middle or center of the data sets distribution. There are 3 main measures: mean,
median or mode
22. Histogram: A graph that displays data through vertical bars that show the counts or numbers in each range
23. Shape: The outline of a set of data displayed on the coordinate axes
24. Scale: The relationship between units and their visual representation on a graph
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