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Anova Test: Anova: Age Sum of Squares DF Mean Square F Sig

This document contains the results of several statistical tests: 1) An ANOVA test found no significant difference between age groups. 2) T-tests found gender and monthly income to be significantly different than the test value of 0. 3) A correlation test found no relationship between designations and media use. 4) Chi-square tests found no significant relationship between educational level or training period and observed vs expected values.

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eswari
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44 views5 pages

Anova Test: Anova: Age Sum of Squares DF Mean Square F Sig

This document contains the results of several statistical tests: 1) An ANOVA test found no significant difference between age groups. 2) T-tests found gender and monthly income to be significantly different than the test value of 0. 3) A correlation test found no relationship between designations and media use. 4) Chi-square tests found no significant relationship between educational level or training period and observed vs expected values.

Uploaded by

eswari
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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ANOVA TEST:

ANOVA
Age
Sum of df Mean F Sig.
Squares Square
Between .000 4 .000 .000 1.000
Groups
Within 125.000 95 1.316
Groups
Total 125.000 99
T-TEST:

One-Sample Statistics
N Mean Std. Deviation Std. Error Mean

Gender 100 1.5000 .50252 .05025

Monthly income 100 3.0000 1.42134 .14213

One-Sample Test
Test Value = 0
t df Sig. (2- Mean 95% Confidence Interval
tailed) Difference of the Difference

Lower Upper
Gender 29.850 99 .000 1.50000 1.4003 1.5997
Monthly 21.107 99 .000 3.00000 2.7180 3.2820
income
CORRELATION:

Correlations
Designations Please state
which types of
media you use

1 .002
Pearson Correlation
Designations
Sig. (2-tailed) .982
N 100 100
.002 1
Pearson Correlation
Please state which types
of media you use Sig. (2-tailed) .982
N 100 100
CHI-SQUARE TEST

Educational
Observed N Expected N Residual

HSC 17 16.7 .3
Degree 17 16.7 .3
ITI 16 16.7 -.7
18 16.7 1.3
Diploma

AMIE 16 16.7 -.7


PG 16 16.7 -.7
Total 100

Training period
Observed N Expected N Residual

25 25.0 .0
One day

25 25.0 .0
1-3 Days

1 Week 25 25.0 .0
25 25.0 .0
1 Month

Total 100
Test Statistics
Educational Training period

.200a .000b
Chi-Square

df 5 3
.999 1.000
Asymp. Sig.

a. 0 cells (0.0%) have expected frequencies less than 5. The


minimum expected cell frequency is 16.7.

b. 0 cells (0.0%) have expected frequencies less than 5. The


minimum expected cell frequency is 25.0.

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