ANSWER ALL THE QUESTION in wk 6 correlations AND INCLUDED ON MY WORK. FOR THIS WORK SPSS software is required.

CORRELATIONS 1

Assignment 4: Correlations Comment by Francisca Farrar: Great job with the tables. However the questions for the assignment are not answered. Please refer to the correlational exercises to complete the assignment. I a providing a zero and will remove when resubmitted

Walden University

NURS-8200F

04/06/2021

Introduction

In statistics, correlation test is a tool for determining the relationship by association between two variables. Correlation can be judged via two ways as per the SPSS output for significance; checking the correlation coefficient or through the p-value output generated. The output tables below in part I, II and III are definitive and representative of correlations derived from the Polit2SetA.sav data set.

Part I

In this part correlation between the variable age of respondent and employment status is given focus. The following is the SPSS output for the same.

Descriptive Statistics
	Mean	Std. Deviation	N
age	38.3000	8.68669	30
Employed	1.4667	.50742	30

The mean and standard deviation for the variable ‘age of respondents’ are 38.30 and 8.69 respectively. The mean and standard deviation for the variable ‘employed’ are 1.4667 and 0.5074 respectively.

Correlations
	age	Employed
age	Pearson Correlation	1	-.197
	Sig. (2-tailed)		.296
	N	30	30
Employed	Pearson Correlation	-.197	1
	Sig. (2-tailed)	.296
	N	30	30

The Pearson correlation coefficient as per the SPSS output above is -0.197 while the p-value result is 0.296, this means that there is no significant correlation between the two variables ‘age of respondents’ and ‘employed’ as the p-value is way above the 0.05 alpha level of significance.

Part II

In this part the correlation between the variables ‘education’ and ‘racial affiliation’. The output below generated from SPSS shows the correlation results;

Descriptive Statistics
	Mean	Std. Deviation	N
education	4.0000	1.53128	30
racial affiliation	2.8000	1.03057	30

The descriptive statistics above show that the mean and standard deviation for the variable ‘education’ are 4.0 and 1.53 respectively. The mean and standard deviation for the variable ‘racial affiliation’ are 2.80 and 1.031 respectively.

Correlations
	education	racial affiliation
education	Pearson Correlation	1	-.131
	Sig. (2-tailed)		.490
	N	30	30
racial affiliation	Pearson Correlation	-.131	1
	Sig. (2-tailed)	.490
	N	30	30

The Pearson correlation coefficient as per the SPSS output above is positive at 0.131 while the p-value result is 0.490, this means that there is no significant correlation between the two variables ‘education’ and ‘racial affiliation’ as the p-value is way above the 0.05 alpha level of significance.

Part III

In this part, correlations for the variables ‘education’ and ‘family income’. The following is the SPSS output for the same.

Descriptive Statistics
	Mean	Std. Deviation	N
education	4.0000	1.53128	30
income	4531.1333	2332.99362	30

The descriptive statistics above show that the mean and standard deviation for the variable ‘education’ are 4.0 and 1.53 respectively. The mean and standard deviation for the variable ‘family income’ are $4531.13 and $2332.9 respectively.

Correlations
	education	income
education	Pearson Correlation	1	.028
	Sig. (2-tailed)		.885
	N	30	30
income	Pearson Correlation	.028	1
	Sig. (2-tailed)	.885
	N	30	30

The Pearson correlation coefficient as per the SPSS output above is positive at 0.28 while the p-value result is 0.885, this means that there is no significant correlation between the two variables ‘education’ and ‘family income’ as the p-value is way above the 0.05 alpha level of significance.

References

Mestre, X., & Vallet, P. (2017). Correlation tests and linear spectral statistics of the sample correlation matrix. IEEE Transactions on Information Theory, 63(7), 4585-4618.

Wagman, M. L., Savage, M. J., & Nplqcd Collaboration. (2017). Statistics of baryon correlation functions in lattice QCD. Physical Review D, 96(11), 114508.