Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Statistics Study Guide: Mean, Median, Mode, Range, Deviation, Z-Scores, Charts, Comparison, Study notes of Comparative Law and Politics

A comprehensive study guide on various statistical concepts including mean, median, mode, range, standard deviation, z-scores, bar charts, cross tabulation, means comparison, and types of relationships. It covers the computational methods and interpretations of each statistical measure.

Typology: Study notes

Pre 2010

Uploaded on 12/08/2009

meredithjay
meredithjay 🇺🇸

6 documents

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Poli Analysis Study Guide
Mean- computing:
Add all numbers in data set then divide by total numbers in data set
Interpreting- if one were to choose a number at random from data set, one would expect it to be the
mean. It is the “average” of all numbers
Median- computing:
It is the middle number of the data set, if even amount of numbers in data set, add two middle and
divide by 2
Interpreting: means that ½ the numbers in the data set are higher than the median, and ½ the numbers
are lower
Skewness:
Positive skew: when the mean is bigger than median
Negative skew: when the median exceeds the mean
Mode- computing/interpreting:
The mode is the most reoccurring number in the data set. It means that there are no other numbers that
occur more than the mode. If no mode, state there is no mode.
Range:
Computing- take the highest number and subtract it from the lowest number in the data set
Interpreting- the range is the amount of whole numbers that exist between the highest and lowest
number in the data set. Allows us to see the relative size of the data set. Large range=large data set
Standard Deviation- used to find the extent of which the cases in a distribution fall on or close to the
mean of the distribution
Computing: take each number in data set and subtract from the mean. Square the sum. Repeat for each
number. Take the sum of all numbers subtracted from mean and square root. Then divide by total
number of cases in the population
Interpreting:
- Relative to the size of data set
oIf 100 numbers in data set and SD of 2- small SD
oIf SD is 25- large SD
- 68% of all numbers in a data set will occur within one SD of the mean
pf3

Partial preview of the text

Download Statistics Study Guide: Mean, Median, Mode, Range, Deviation, Z-Scores, Charts, Comparison and more Study notes Comparative Law and Politics in PDF only on Docsity!

Poli Analysis Study Guide Mean- computing: Add all numbers in data set then divide by total numbers in data set Interpreting- if one were to choose a number at random from data set, one would expect it to be the mean. It is the “average” of all numbers Median- computing: It is the middle number of the data set, if even amount of numbers in data set, add two middle and divide by 2 Interpreting: means that ½ the numbers in the data set are higher than the median, and ½ the numbers are lower Skewness: Positive skew: when the mean is bigger than median Negative skew: when the median exceeds the mean Mode- computing/interpreting: The mode is the most reoccurring number in the data set. It means that there are no other numbers that occur more than the mode. If no mode, state there is no mode. Range: Computing- take the highest number and subtract it from the lowest number in the data set Interpreting- the range is the amount of whole numbers that exist between the highest and lowest number in the data set. Allows us to see the relative size of the data set. Large range=large data set Standard Deviation- used to find the extent of which the cases in a distribution fall on or close to the mean of the distribution Computing: take each number in data set and subtract from the mean. Square the sum. Repeat for each number. Take the sum of all numbers subtracted from mean and square root. Then divide by total number of cases in the population Interpreting:

  • Relative to the size of data set o If 100 numbers in data set and SD of 2- small SD o If SD is 25- large SD
  • 68% of all numbers in a data set will occur within one SD of the mean
  • 95% of all numbers in a data set will occur within 2 SDs of the mean
  • 99.7% of all numbers in a data set will occur within 3 SDs of the mean Z - units of standard deviation away from mean o Positive: above mean o Negative: below mean Z scores- standardized scores that allow comparison of any value of a variable relative to the mean in a distribution
  • Computing:
  • Take the individual value of x and subtract from the mean, then divide by standard deviation
  • Z scores are individual Bar Charts: allow for easy comparisons without actually knowing numbers. Interpreting:
  • Talk about each axis
  • Talk about significant trends in chart o Unimodal distribution- single category that happens most frequently o Bidmodal distribution- 2 categories that are more frequent Cross tabulation tables: Independent variable- Column Dependent variable- Row Compares frequency distributions with respect to the relationship between the dependent and independent variables Interpreting: -state DV and IV
  • what effects the DV have on the IV and vice versa -quantitative and qualitative Means comparison: Compares means Interpret same as Cross tab