In: Statistics and Probability
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
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