Question

In: Statistics and Probability

Question 12 pts The table shows data on marital and general happiness for married respondents: General...

Question 12 pts

The table shows data on marital and general happiness for married respondents:

General Happiness
Marital Happiness Not Too Happy Happy Very Happy
Not Too Happy 10 12 3
Happy 31 212 35
Very Happy 22 234 327




What is the​ chi-squared test statistic?Group of answer choices

228.32

9.488

192.91

206.01

Question 22 pts

Find and interpret the P value

Group of answer choices

0.1025

< 0.001

0.050

0.0254

Question 32 pts

Does this large​ chi-squared value imply there is a strong association between marital and general​ happiness?

Group of answer choices

Yes; a large chi-squared value has a small P-value, which implies a strong association

No; large chi-squared values can occur even for weak (but still significant associations)

Yes; large chi-squared values can occur even for weak (but still significant) associations

No; a small P-value implies there is a strong association; not a large chi-squared value

Question 42 pts

Find the difference in the proportion of being not too happy between those that are not too happy in their marriage and those that are happy in their marriage

Group of answer choices

0.324

0.29

0.012

0.043

Question 52 pts

Find and interpret the relative risk of being not too​ happy, comparing the not too happy and happy marital happiness group.

Group of answer choices

Those who are not too happy in their marriage are about 6 times as likely to be not too happy compared to those who are happy in their marriage

Those who are not too happy in their marriage are about 1.5 times as likely to be not too happy compared to those who are happy in their marriage

Those who are not too happy in their marriage are about 3.6 times as likely to be not too happy compared to those who are happy in their marriage

Those who are not too happy in their marriage are about 0.25 times as likely to be not too happy compared to those who are happy in their marriage

Solutions

Expert Solution

Observed Frequencies: Table
General Happiness
Marital Happiness Not Too Happy Happy Very Happy TOTAL
Not Too Happy 10 12 3 25
Happy 31 212 35 278
Very Happy 22 234 327 583
TOTAL 63 458 365 886
E1= RT*CT/GT = 25*63/886
1.77765237
O= OBSERVED FRQ
E = EXPECTED FREQ
EXPECTED TABLE
Marital Happiness Not Too Happy Happy Very Happy TOTAL
Not Too Happy 1.77765237 12.92325056 10.29909707 25
Happy 19.76749436 143.7065463 114.5259594 278
Very Happy 41.45485327 301.3702032 240.1749436 583
TOTAL 63 458 365 886
H0:There is no association between marital and
general happiness for married respondents.
H1:There is an  association between marital and
general happiness for married respondents.
Level = 0.05
CALCULATION TABLE
O E O-E (O-E)2/E
N N 10 1.77765237 8.22234763 38.03162062
HN 31 19.76749436 11.23250564 6.382659368
VN 22 41.45485327 -19.45485327 9.130205175
NH 12 12.92325056 -0.923250564 0.065957988
HH 212 143.7065463 68.29345372 32.45499904
VH 234 301.3702032 -67.37020316 15.06036173
NV 3 10.29909707 -7.299097065 5.172960079
HV 35 114.5259594 -79.52595937 55.22222427
VV 327 240.1749436 86.82505643 31.3879138
SUM = 886 886 0 192.9089021
Chi sq test statistics= 192.91
DF =(3-1)(3-1) =4
p value= 0.00001
Conclusion: p value(0.00001) < 0.05
  Reject Ho
so we conclude that There is an association between marital and general happiness for married respondents.

What is the​ chi-squared test statistic

192.91 Answer

P value

< 0.001 Answer

Question 3

Ans

Yes; a large chi-squared value has a small P-value, which implies a strong association

p1= 25/886 0.0282167
p2= 278/886 0.31376975
difference= p2-p1 0.28555305
difference= 0.29

Question 4

0.29 Answer

Question 5

Marital Happiness Not Too Happy Happy total
Not Too Happy 10 12 22
Happy 31 212 243
RR= (10/22)/(31/243)
(10/22)= 0.454545455
(31/243)= 0.127572016
RR= 3.563049853
RR= 3.6

Those who are not too happy in their marriage are about 3.6 times as likely to be not too happy compared to those who are happy in their marriage


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