• 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

1/17

Click to flip

### 17 Cards in this Set

• Front
• Back
 Independent Variable X= predictor= Exposure= independent variable Dependent Variable Y= outcome= Disease= response variable= dependent variable Nominal Variable Level of measurement scale. Data by name alone, no consideration of magnitude or order. Ex- 1= Females 2= Males. Also dichotomous or binomial. Also called categorical Can only be discrete variables Ordinal Variable Ordered catagorical variables. Ordered or ranked categories but not necessarily in magnitude. Ex- 1= Freshman, 2= Sophomores Can be discrete or continuous Continuous Variable May take any value. Ex- blood pressure, cholesterol Discrete Variables Counts. Data with assigned order and magnitude but restricted to whole numbers. Nominal, ordinal, interval and ratio variables can be discrete Hierarchy of Variables A variable can always be analyzed as if it were of a type further down the hierarchy, but not visa versa. ratio>> interval >> ordinal >> nominal Measures of Central Tendency 1) Mean 2) Median 3) Mode Measures of Spread 1) Range 2) Variance 3) Standard Deviation Mean Average, unique, simple, includes all numbers, affected by extremes Median Middle pt of data pts. Unique, simple NOT affected by extreme values. Mode Most appeared number. Can have none or more than one. Range Max- Min. Simple,sensitive to extreme values Variance Variance= SD^2 Uses all data points, always positive. Gives idea of data variability. Standard Deviation Is the average deviation of the mean from the observations themselves. Uses all data points, original units of data. Interval Variable Based on variable having intervals of equal length or distance, like inches on a ruler. Does not have an absolute zero point like ratio scale so total absence of attribute cannot be calibrated. Can be discrete or continuous Ex- Temperature and IQ Ratio Variable Based on variable having intervals of equal length or distance, like inches on a ruler. Does have an absolute zero point. Can be discrete or continous Ex- No. of cigarettes smoked per day