1. for a two tailed with a=.05, use table b.6 to determine how large a pearson correlation is necessary to be statistically significant for each of the following samples? a. A sample of n=6 b. A sample of n=12 c. A sample of n=24
1. for a two tailed with a=.05, use table b.6 to determine how large a pearson correlation is necessary to be statistically significant for each of the following samples? a. A sample of n=6 b. A sample of n=12 c. A sample of n=24
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Concept explainers
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
100%
1. for a two tailed with a=.05, use table b.6 to determine how large a pearson correlation is necessary to be statistically significant for each of the following samples?
a. A sample of n=6
b. A sample of n=12
c. A sample of n=24
Transcribed Image Text:Appendix B: Statistical Tables
E AA A
Table B.6 Critical Values for the Pearson Correlation *
A-7
Level of Significance for One-Tailed
Test
.05
.025
.01
.005
Level of Significance for Two-Tailed
Test
df =n – 2
.10
.05
.02
.01
1
.988
.997
.9995
.9999
.900
.950
980
990
.805
.878
934
959
4
729
.811
882
917
669
.754
833
.874
622
707
789
834
Table VI of Fisher, R. A., and Yates, F. (1974). Statistical Tables for Biological, Agricultural and Medical Research (6th ed.).
London: Longman Group Ltd. (previously published by Oliver and Boyd Ltd., Edinburgh). Copyright ©1963 R. A. Fisher
and F. Yates. Adapted and reprinted with permission of Pearson Education Limited.
吴國T4
MacBook Air
Transcribed Image Text:Pearson correlation
• A correlation is a statistical method used to measure and describe the relationship between two variables.
• A relationship exists when changes in one variable tend to be accompanied by consistent and predictable changes in the other
variable.
The magnitude of the Pearson correlation ranges from 0 (indicating no linear relationship between X and Y) to 1.00
(indicating a perfect straight-line relationship between X and ).
• The correlation can be either positive or negative depending on the direction of the relationship.
Formulas for Pearson correlation:
r =
; where r- is a correlation coefficient calculated for
.
VSS. ss,
the sample; Coefficient of det ermination (effect size for r) R² = r²; where r is a coefficient
correlation calculated for the sample
For a two-tailed test with a = .05, use Table B.6 to determine how large a Pearson correlation is necessary to be
statistically significant for each of the following samples?
a. A sample of n = 6
b. A sample of n = 12
c. A sample of n = 24
for the Pearson r-test table you can use the one in the textbook Appendix B: Statistical Tables, Table B.6
國T4
MacBook Air
) F12
F4
24
&
>*
4
6
9
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman