Crosstabs ing Pr sts asu l Case Processing Summary Cases Valid Missing Total Urb

Question

Crosstabs ing Pr sts asu l Case Processing Summary Cases Valid Missing Total Urban or Rural Primary Sampling Unit Q59h Trust police 50485| 979%| 1102| 21%| 51587| 1000% Urban or Rural Primary Sampling Unit Q59h. Trust police Crosstabulation 059h. Trust police Not at all Just a little Somewhat A lot 5216 5360 5130387819584 38.6%| 291%| 388% 9237 30229 52.7% | 56.1 % | 600% 69.3% | 59.9% 213 672 1.3%| 1.6%| 1.3% 11257 12620 13280 13328 50485 100 0% | 1000% | 1000% | 1000% | 1000% Count % within Q59h. Trust police Count % within Q59h Trust police Urban or Rural Primary Sampling Unit Urban 46 3% 42.5% 5937 7082 7973 9 Rural Semi-Urban Count 104 178 % within Q59h Trust police Count % within Q59h Trust police 0 9% 1 4% Tota

Explanation / Answer

First table is summary

First table is saying:

N=50485 MEANS 97.9%

MISSING = 1102 --> 2.1%

TOTAL = 51587 MEANS --> 100%

SECOND TABLE:

IN URBAN NUMBER OF PERSONS TRUST POLICE

NOT AT ALL= 5216

JUST ALITTLE 5360

SOMEWHAT= 5130

A LOT= 3878

TOTAL=19584

MEANS IN URBAN 46.3% NOT AT ALL TRUST POLICE

SIMILARLY YOU CAN WRITE FOR RURAL AND SEMI URBAN

IN RURAL 69.3% PEOPLE TRUST PEOPLE A LOT

AND IN SEMI URBAN 1.6% PEOPLE TRUST POLICE A LOT

THIRD TABLE

PEARSON CHI SQUARE IS VALUE IS 877.477

AND P VALUE IS 0.000 MEANS IT IS SIGNIFICANT HENCE IT MEANS HYPOTHESIZED PROBABILITY DISTRIBUTION FOR A POPULATION PROVIDES A GOOD FIT.

PEARSON CHI SQUARE IS THE MOST IMPORTANT TEST . ON BASIS OF ITS SIGNIFICANCE VALUE YOU CAN REJECT NULL HYPOTHESIS.

THE LIKELIHOOD RATIO AND LINEAR BY LINEAR IS ALSO SIGNIFICANT.

PLEASE NOTE: THIS EXPLAINATION DEPENDS COMPLETELY ON MY PERSONAL PERSPECTIVE. WHEN I USE PEARSON'S CHI SQUARE , I SEE SIGNIFIACNT VALUE AND ON BASIS OF THAT I REJECT OR ACCEPT NULL HYPOTHESIS.  

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