• Shuffle
Toggle On
Toggle Off
• Alphabetize
Toggle On
Toggle Off
• Front First
Toggle On
Toggle Off
• Both Sides
Toggle On
Toggle Off
Toggle On
Toggle Off
Front

### How to study your flashcards.

Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key

Up/Down arrow keys: Flip the card between the front and back.down keyup key

H key: Show hint (3rd side).h key

A key: Read text to speech.a key

Play button

Play button

Progress

1/11

Click to flip

### 11 Cards in this Set

• Front
• Back
 Statistics The science of data; numerical indexes calculated from data sets and used to characterize (describe) and or draw conclusions (infer) Two Types of Conclusions from statistics 1)Differences between groups 2)Associations among variables. Descriptive Statistics 1)Mean 2)Median 3)Mode Mean Average-most greatly affected by high outling data Median 50th percentile with half the other scores above the figure and half the other scores below it. Must have at least an interlval level to do this. This is the prefered method to show skewed tendancy; mean is more greatly affected by high outlining data. Mode The most frequently occuring peice of data Description/Variability Methods 1)Range 2)Variance 3)Standard Deviation Range Represents the highest value of data minus the lowest value of data. The area within which all the data lies. Variance A measure of spread. The averaged square deviation from the mean. Subtract each score from the mean of all scores, square that number, add all those squared numbers together, and then divide by the total number of scores. Standard Deviation The most frequently used measure of spread. Average squared deviation unsquared. Basically, the square root of the variance. Adjectives Used for Characterizing the Shape of Distributions 1)Unimodal 2)Symmetrical 3)Unsymmetrical 4)Skewed 5)Bimodal