Basic Data

3. ALL the individuals for the ENTIRE group being studied.
7. When cutting the dataset in half, the right side is a mirror image of the left side. Also known as the “FOLD TEST”.
8. Another word for “count”. The number of individuals that satisfied a condition OR equal a value.
10. The TYPICAL DIFFERENCE between the values for a given variable and the mean of the variable.
11. The collection of data for the ENTIRE population. Oftentimes not practical because of cost or timeliness.

1. The arithmetic AVERAGE; add all the values of a given variable together and divide by the number of values.
2. The difference between MAX and MIN. 100% of the dataset.
4. The TRUE value of interest for a POPULATION. There is one-and-only-one value for the measure of interest. Can be quantitative or qualitative.
5. The interquartile range; the middle 50% of the ordered dataset. Equal to Q3 – Q1. A distance so always positive.
6. A SUBSET of the population. We do not assume the subset is randomized.
7. The measure of interest for a SAMPLE. Includes the mean (x-bar) and proportions (p-hat). Varies from sample-to-sample.
9. The ordered MIDDLE value; 50% of the dataset values are to the left and the other 50% is to the right of the value.