Session__2_notes - Session 1 Review: Be able to define:...

Info iconThis preview shows pages 1–8. Sign up to view the full content.

View Full Document Right Arrow Icon
Session 1 Review: Be able to define: population vs. sample, statistic vs. parameter, descriptive vs. inferential statistics, discrete vs. continuous, qualitative vs. quantitative Be able to define and categorize variables into measurement scales (nominal, ordinal, interval, ratio) Be able to read and interpolate information from a frequency distribution, frequency polygon, and boxplot Be able to identify and describe a distribution (i.e. skewness, unimodal vs. bimodal, normal, symmetric, etc Be able to estimate or calculate a percentile rank using appropriate formulae or graphical displays (ogive curve)
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Vocabulary: Construct – a concept inferred from commonalities among observed phenomena (i.e. intelligence) Variable – Nonuniform characteristics of observational units (i.e. IQ) Measurement – An observation that is expressed as a number (i.e. IQ score)
Background image of page 2
Nominal measurement groups objects into classes or categories . Ordinal scales are used to rank a group of things from high to low. Interval scales include variables in which the magnitude of differences among the units is defined by the numbers, but there is no absolute zero . ( equal intervals ) Ratio measures have an absolute zero , which denotes an absence of the property.
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Stem-and-leaf displays are similar to grouped frequency distribution. Example: 220, 221, 224, 233, 233, 234, 235, 240, 241, 264 Stem Leaf 22 23 24 25 26
Background image of page 4
Stem-and-Leaf Plot in SPSS CHOLESTEROL LEVEL (MG/DL) Stem-and-Leaf Plot Frequency Stem & Leaf 1.00 1 . 3 2.00 1 . 55 9.00 1 . 677777777 7.00 1 . 8889999 12.00 2 . 000001111111 12.00 2 . 222222333333 27.00 2 . 444444444445555555555555555 35.00 2 . 66666666666666666667777777777777777 19.00 2 . 8888888888899999999 18.00 3 . 000000011111111111 17.00 3 . 22222223333333333 16.00 3 . 4444444445555555 9.00 3 . 666666777 7.00 3 . 8888999 3.00 4 . 001 3.00 4 . 222 1.00 4 . 5 2.00 Extremes (>=474) Stem width: 100 Each leaf: 1 case(s)
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
A cumulative percentile is the percentage of the distribution that falls within each interval plus the percent falling below the interval.
Background image of page 6
Rank the scores from low to high Low = 1 ( i = 1) to High = n ( i = n) 3. PR = percentile rank of score 4. R i = rank of the score in question 5. n = number of scores or ranks ( 29 n R PR i i 5 . 100
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 8
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 01/27/2011 for the course EDPSY 400 at Pennsylvania State University, University Park.

Page1 / 48

Session__2_notes - Session 1 Review: Be able to define:...

This preview shows document pages 1 - 8. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online