Greg Martin Statistics Overview

Description

youtube vid
Lindsay Dade
Note by Lindsay Dade, updated more than 1 year ago
Lindsay Dade
Created by Lindsay Dade over 4 years ago
7
0

Resource summary

Page 1

https://www.youtube.com/watch?v=I10q6fjPxJ0&t=437s    

Variables can be Categorical summarize in table or bar chart Numeric  distribution- range, interquartile range, mean median box plot histogram H1 is hypothesis  H0 is null hypothesis  Probability of relationship testing- p value.  Alpha valiue is cut off pt to reject the null. if p is less than alpha, we reject the null Chi-squared test (x^2) determines if there is significant difference between expected and observed frequencies in one or more categories  looks at how likely the observed frequencies would be if null hypothesis is true if more than two categories in one of the variables, do ANOVA instead of t test correlation test- get correlation coefficient (between-1 and 1) and p value  perfectly negative correlation is -1 no cor is 0 perfectly pos is 1          

Show full summary Hide full summary

Similar

Statistics Key Words
Culan O'Meara
SAMPLING
Elliot O'Leary
FREQUENCY TABLES: MODE, MEDIAN AND MEAN
Elliot O'Leary
HISTOGRAMS
Elliot O'Leary
CUMULATIVE FREQUENCY DIAGRAMS
Elliot O'Leary
TYPES OF DATA
Elliot O'Leary
GROUPED DATA FREQUENCY TABLES: MODAL CLASS AND ESTIMATE OF MEAN
Elliot O'Leary
Statistics Vocab
Nabeeha Yusuf
chapter 1,2 statistics
Rigo Sanchez
Statistics, Data and Area (Semester 2 Exam)
meg willmington
Chapter 7: Investigating Data
Sarah L