SOLUTION: I am unsure how to even start this problem. Would I use ANOVA? Thanks for your help.
You are the HR director at a local manufacturer. You are concerned about absences on the d
Algebra ->
Probability-and-statistics
-> SOLUTION: I am unsure how to even start this problem. Would I use ANOVA? Thanks for your help.
You are the HR director at a local manufacturer. You are concerned about absences on the d
Log On
Question 145422: I am unsure how to even start this problem. Would I use ANOVA? Thanks for your help.
You are the HR director at a local manufacturer. You are concerned about absences on the days of the week. You sample the absences on a recent week:
can you show that there is a difference in the absences by day of the week at the 0.05 level of significance ??
hint: calls for chi-square ... goodness of fit .. methodology
You can put this solution on YOUR website! Monday 45
Tuesday 33
Wednesday 29
Thursday 37
Friday 56
can you show that there is a difference in the absences by day of the week at the 0.05 level of significance ??
hint: calls for chi-square ... goodness of fit .. methodology
------------
The numbers you have are the "observed" numbers.
The "expected" numbers are (1/5)230 = 46 for each day of the work-week.
--------------
Run a Chi-Sq. Test on the observed vs. expected with
Ho: the data is homogeneous
Ha: it is not homogeneous
-----------------
test statistic: Chi-Sq = 14.7638...
p-value = 0.0052...
------------
Conclusion:
Since p-value is less than 5%, Reject Ho.
The data is not homogeneous. Some days have higher absense then other.
=================
Cheers,
Stan H.
(