In: Statistics and Probability
A national organization which promotes good local government management (ICMA) is interested in factors which may predict if a local government has actual ‘e-government’ transactions on their website. One of these is whether the local government is city manager or mayor/council.
Has Transactions |
No Transactions |
|
Mayor/Council |
16 |
10 |
City Manager/Council |
10 |
18 |
Commission |
11 |
15 |
a)Provide null and alternative hypothesis in formal terms and layperson’s terms for the chi-square two sample test. Remember to apply Yates if necessary.
b Do math and reject/accept the null at a = .05.
c)Explain the results in layperson’s terms.
d Explain in layperson’s terms the column percentage for the cell ‘has transactions/mayor-council.’
A national organization which promotes good local government management (ICMA) is interested in factors which may predict if a local government has actual ‘e-government’ transactions on their website. One of these is whether the local government is city manager or mayor/council.
Has Transactions |
No Transactions |
|
Mayor/Council |
16 |
10 |
City Manager/Council |
10 |
18 |
Commission |
11 |
15 |
a)Provide null and alternative hypothesis in formal terms and layperson’s terms for the chi-square two sample test. Remember to apply Yates if necessary.
Ho: There is no association between local government and ‘e-government’ transactions
H1: There is an association between local government and ‘e-government’ transactions
b Do math and reject/accept the null at a = .05.
Chi-Square Test |
||||||
Observed Frequencies |
||||||
Column variable |
Calculations |
|||||
Has Transactions |
No Transactions |
Total |
fo-fe |
|||
Mayor/Council |
16 |
10 |
26 |
3.975 |
-3.975 |
|
City Manager/Council |
10 |
18 |
28 |
-2.95 |
2.95 |
|
Commission |
11 |
15 |
26 |
-1.025 |
1.025 |
|
Total |
37 |
43 |
80 |
|||
Expected Frequencies |
||||||
Column variable |
||||||
0 |
Has Transactions |
No Transactions |
Total |
(fo-fe)^2/fe |
||
Mayor/Council |
12.025 |
13.975 |
26 |
1.3140 |
1.1306 |
|
City Manager/Council |
12.95 |
15.05 |
28 |
0.6720 |
0.5782 |
|
Commission |
12.025 |
13.975 |
26 |
0.0874 |
0.0752 |
|
Total |
37 |
43 |
80 |
|||
Data |
||||||
Level of Significance |
0.05 |
|||||
Number of Rows |
3 |
|||||
Number of Columns |
2 |
|||||
Degrees of Freedom |
2 |
|||||
Results |
||||||
Critical Value |
5.991 |
|||||
Chi-Square Test Statistic |
3.8574 |
|||||
p-Value |
0.1453 |
|||||
Do not reject the null hypothesis |
All expected values are > 5, Yates correction is not necessary.
Calculated chi square =3.8574 < 5.991 the critical value at 0.05 level of significance.
Ho is not rejected.
c)Explain the results in layperson’s terms.
We conclude that there is no association between local government and ‘e-government’ transactions.
d Explain in layperson’s terms the column percentage for the cell ‘has transactions/mayor-council.’
Has Transactions |
No Transactions |
Total |
||
Mayor/Council |
Observed |
16 |
10 |
26 |
% of column |
43.2% |
23.3% |
32.5% |
|
City Manager/Council |
Observed |
10 |
18 |
28 |
% of column |
27.0% |
41.9% |
35.0% |
|
Commission |
Observed |
11 |
15 |
26 |
% of column |
29.7% |
34.9% |
32.5% |
|
Total |
Observed |
37 |
43 |
80 |
% of column |
100.0% |
100.0% |
100.0% |
In the total transactions of 37, majority 16 transactions(43.2%) are from Mayor/Council.