In: Statistics and Probability
In a study on the relationship of sleeping habits and performance in clinical work, 100 student nurses were cross-classified according to clinical performance and sleeping habits. The investigator wished to determine if there is an association between clinical performance and sleeping habits of student nurses at the 0.01 level of significance. The data and (expected values) are given below.
Sleeping Habits |
|||
Clinical Performance |
Poor |
Good |
Total |
Poor |
20 ( 12 ) |
10 ( 18 ) |
30 |
Satisfactory |
20 ( 28 ) |
50 ( 42 ) |
70 |
Total |
40 |
60 |
100 |
State the full conclusion for this test when the null hypothesis is rejected.
null hypothesis:Ho: : there is not an association between clinical performance and sleeping habits of student nurses
Alternate hypothesis:Ho: : there is an association between clinical performance and sleeping habits of student nurses
degree of freedom(df) =(rows-1)*(columns-1)= | 1 | |
for 1 df and 0.01 level , critical value χ2= | 6.635 | |
Decision rule : reject Ho if value of test statistic X2>6.635 |
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | Poor | Good | Total |
Poor | 12.0000 | 18.0000 | 30 | |
Satisfactory | 28.0000 | 42.0000 | 70 | |
total | 40 | 60 | 100 | |
chi square χ2 | =(Oi-Ei)2/Ei | Poor | Good | Total |
Poor | 5.3333 | 3.5556 | 8.8889 | |
Satisfactory | 2.2857 | 1.5238 | 3.8095 | |
total | 7.6190 | 5.0794 | 12.6984 | |
test statistic X2 = | 12.698 |
since test statistic falls in rejection region we reject null hypothesis |
we have sufficient evidence to conclude that there is an association between clinical performance and sleeping habits of |
student nurses.