Summary Applied Statistics I Basic bivariate Techniques Book cover image

Summary Applied Statistics I Basic Bivariate Techniques

- Rebecca M warner
ISBN-13 9781071807491
169 Flashcards & Notes
Scroll down to see the PDF preview!
  • This + 400k other summaries
  • A unique study and practice tool
  • Never study anything twice again
  • Get the grades you hope for
  • 100% sure, 100% understanding
Remember faster, study better. Scientifically proven.
Trustpilot Logo

A snapshot of the summary - Applied Statistics I Basic bivariate Techniques Author: Rebecca M warner ISBN: 9781071807491

  • 4 Descriptive Statistics

  • 4.1 Introduction

    This is a preview. There are 3 more flashcards available for chapter 4.1

  • Why can't descriptive statistics not be applied to categorical variables?
    Because it doesn't make sense to rank or add scores for  categorical variables such as hair color.
  • 4.2 Questions about quantitative variables

  • What is a typical or common response (central tendency)?
    The sample mean and median describe central tendency for quantitative varibles
  • How much do responses vary or differ?
    Additional information about variability is obtained form variance and standard deviation
  • 4.3 Notation

    This is a preview. There are 3 more flashcards available for chapter 4.3

  • What does X1, X2 and X3 mean
    Makes clear when a statistic belongs to an individual person
  • 4.5 Sample mean

    This is a preview. There are 1 more flashcards available for chapter 4.5

  • What tricks does the mean illustrates?
    It summarize information for a set of scores by summing them up and to correct for the effect of sample size.
  • Under what circumstances will the statistic (M) turn out to have a large or small value?
    M is large when individual X scores are large and positive.
  • 4.6 An important characteristic of M: The sum of deviations from M= 0

    This is a preview. There are 1 more flashcards available for chapter 4.6

  • What is a deviation from the mean
    The distance from the mean
  • What happens when you som the deviation mean score?
    It will be 0
  • What are the two advantages from the mean?
    It's related to many other popular types of statistical analyses and it is the measure of central tendency and most often included in research reports
  • 4.7 Disadvantage of M: it is not robust against influence of extreme scores

    This is a preview. There are 4 more flashcards available for chapter 4.7

  • what makes the mean less robust than the median and mode
    Outliers

To read further, please click:

Read the full summary
This summary +380.000 other summaries A unique study tool A rehearsal system for this summary Studycoaching with videos
  • Higher grades + faster learning
  • Don't study anything twice
  • 100% sure, 100% understanding
Discover Study Smart