A researcher records whether n = 247 children do or do not have asthma at age 13, and then again records whether these same 247 individuals have asthma 7 years later. Results are shown in the following table:
Asthma at age 20? |
||
Asthma at age 13? |
Yes |
No |
Yes |
55 |
16 |
No |
12 |
164 |
1. What is the expected frequency of "asthma at 13" and "asthma at 20"? [Answer to 2 decimal places.]
2. What is the expected frequency of "asthma at 13" and "no asthma at 20"? [Answer to 2 decimal places.]
3. What is the expected frequency of "no asthma at 13" and "asthma at 20"? [Answer to 2 decimal places.]
4. What is the expected frequency of "no asthma at 13" and "no asthma at 20"? [Answer to 2 decimal places.]
5. To test whether "asthma at 13" is related to "asthma at 20", what is the value of chi-square test statistic? [Answer to 3 decimal places.]
as expected frequency =row total*column total\/grand total
1)
expected frequency of "asthma at 13" and "asthma at 20" =67*71/247 =19.26
2)expected frequency of "asthma at 13" and "no asthma at 20"=51.74
3)expected frequency of "no asthma at 13" and "asthma at 20" =47.74
4) expected frequency of "no asthma at 13" and "no asthma at 20" =128.26
5)
applying chi square test:
chi square χ2 | =(Oi-Ei)2/Ei | yes | no | Total |
yes | 66.3276 | 24.6886 | 91.016 | |
no | 26.7572 | 9.9596 | 36.717 | |
total | 93.085 | 34.648 | 127.733 |
value of chi-square test statistic =127.733
( please try 127.724 if this comes wrong due to rounding error)
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