Chapter 2: Frequency Distributions Flashcards
Frequency Distribution
An organized tabulation showing how many individuals are located in each category on the scale of measurement
Frequency Distribution Table
Consists of at least two columns-one listing categories on the scale of measurement (X) and another for frequency (f)
Making a Frequency Distribution Table
- Decide the bins
- Decide the upper and lower limits of the bins (related to the real limits we discussed in chapter 1)
- Put your data in the bins
Proportions (Relative Frequencies)
Measures the fraction of the total group that is associated with each score
Proportion = p = f/N
Percentage
Find the proportion (p) then multiply by 100
Percentage = p(100) = f/n (100)
Cumulative Frequencies
The accumulation of individuals as you move up the scale
Adding up the frequencies in and below that category
Cf = (c%/100) (N)
Cumulative Percentages
The accumulation of percentages as you move up the scale
The percentage of individuals who are located in and below that category
c% = cf/N (100%)
Pecentiles
The percentage of individuals in the distribution with scores at or below the particular value
Finding Percentile
- Go back to the original data
- Put it in order
- Use this formula to sort out what data point is in the percentile you want:
= (c%/100) * (n) - Plug it in
Ex. 50th percentile = (50/100) * 12 = 6 - Go to that position in the ranked data. (counting from lowest to highest)
* Round UP to the nearest whole number
Class intervals
Groups of scores
Grouped Frequency Distribution
Presents groups of scores in a table rather than individual values
Rules for creating class intervals
- Width of the each interval should be relatively simple (ex. 2, 5, 10, 20)
- The bottom score should be a multiple of the width (ex. Width of 10 points = intervals should start with 10, 20 etc.)
- All intervals should be the same width
What frequency distribution graph to use?
Continuous variables: use histogram or polygon
Discrete variables (not numbers): use a bar graph
Histogram vs. Bar graph
Histogram = no spaces between bars (demonstrates they are continuous)
Bar graph = spaces between bars (demonstrates they are separate categories)
Symmetrical distribution
it is possible to draw a vertical line through the middle so that one side of the distribution is a mirror image of the other