In: Statistics and Probability
As the price of oil rises, there is increased worldwide interest in alternate sources of energy. An NGO surveyed people in two countries to assess attitudes toward different forms of alternative energy. The data in the table below represent the survey's findings concerning whether people favor or oppose the building of new nuclear power plants.
Table 1 Observed Frequencies
Country |
||
Response |
France |
Italy |
Favor |
23 |
32 |
Oppose |
39 |
19 |
No opinion |
17 |
30 |
I have used Minitab to answer the question. Please find below output
Tabulated Statistics: Response, Worksheet columns
Rows: Response Columns: Worksheet columns
France Italy All
Favor 23 32 55
14.38 20.00 34.38
Oppose 39 19 58
24.38 11.88 36.25
No Opinion 17 30 47
10.63 18.75 29.38
All 79 81 160
49.38 50.63 100.00
Cell Contents: Count
% of Total
Pearson Chi-Square = 11.942, DF = 2, P-Value = 0.003
Likelihood Ratio Chi-Square = 12.138, DF = 2, P-Value = 0.002
a)
Response France Italy Row Total
Favor 23 32 55
Oppose 39 19 58
No Opinion 17 30 47
Column Total 79 81 160 = Grand Total
The total number of responses = 160.
b)
Expected Freq. (France) Expected Freq. (Italy)
27.16 27.84
28.64 29.36
23.21 23.79
c) Here,
Null hypothesis is (H0): People’s attitude toward building new nuclear power plants is independent of the country.
Vs
Alternative Hypothesis (H1): People’s attitude toward building new nuclear power plants is not independent of the country.
By looking at the p-value is 0.003 which is less than 0.05 hence we reject the null hypothesis i.e. People’s attitude toward building new nuclear power plants is not independent of the country.
d)
Yes, the answer changes when we consider the 0.01 level of significance and in this case, we accept null hypothesis i.e. People’s attitude toward building new nuclear power plants is independent of the country.