# Summary: Applied Statistics I Basic Bivariate Techniques | 9781071807491 | Rebecca M warner

• 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.

## Read the summary and the most important questions on Applied Statistics I Basic bivariate Techniques | 9781071807491 | Rebecca M. warner

• ### 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

• ### 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

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

Outliers