• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/22

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

22 Cards in this Set

  • Front
  • Back
Order of Operations
1. Any calculations using parentheses
2. Squaring
3. Multiplication or Division from left to right
4. Summation w/ the ∑ notation is done text
5. Any adding/subtracting from left to right
E
the sum of all scores
Ex
sum of scores
x
individual score/obj
N
Population size
n
sample size
Population
• Entire group of individuals is called the population
Research Population
• Entire group of individuals of interest for a particular study
Sample
selected to represent the pop. in a research study
Population >
Parameter
Sample >
Statistic
Sampling Error
• discrepancy between sample stat and it’s pop parameter is called a sampling error
• defining/measuring sample error large part of inferential stat
Data
• measurements/observation
Datum
• singular, one observation also score, raw score, value (value usually used)
Data Set
• collection of observations
• data can be about anything
Variables
• set of characteristics/conditions that change or has different values for an individual
• Eg: height (changes over time0
• weight
Discrete Variables
consist of indivisible categories
• Eg: bicycles, children in household
Whole number (excluding tie/shoe size)
Continuous Variable
• eg: time/weight
• can be divisible into w/e
decimal/fraction
• Rare to obtain identical measurements for continuous variables
• measurement category for e/ continuous variable is actually an interval that must be defined by boundaries
• Eg Weight
Nominal Scale
• Name- if you can name it
• no greater or less than
• name, label, category
• Eg: major, gender, race/ethnicity, nothing with a numerical value
Ordinal Scale
• you can order them
• tell you direction
• rank data
• ordered by size/magnitude
• Eg: size, grad. class rank, socioeconomic status, patient satisfaction
Interval Scale
• ordered series of equally sized categories
• ID direction/magnitude of a difference
• Zero pt on interval scale doesn’t mean the total absence, that it is nothing
• Eg: temp, golf scores, measuring rain fall
Ratio Scale
• O does mean absence of
• direction/magnitude measure in term of ratios
• Eg: height, weight, reaction time, number of errors on test