The accompanying table provides the data for 100 room inspections at each of 25 hotels in a major chain. Management would like the proportion of nonconforming rooms to be less than 2%. Formulate a one-sample hypothesis test for a proportion and perform the calculations using the correct formulas and Excel functions. Use a level of significance of 0.05.
sample | rooms | nonconforming rooms | |
1 | 100 | 4 | |
2 | 100 | 2 | |
3 | 100 | 0 | |
4 | 100 | 1 | |
5 | 100 | 3 | |
6 | 100 | 5 | |
7 | 100 | 4 | |
8 | 100 | 7 | |
9 | 100 | 2 | |
10 | 100 | 5 | |
11 | 100 | 1 | |
12 | 100 | 2 | |
13 | 100 | 1 | |
14 | 100 | 3 | |
15 | 100 | 5 | |
16 | 100 | 2 | |
17 | 100 | 1 | |
18 | 100 | 2 | |
19 | 100 | 6 | |
20 | 100 | 3 | |
21 | 100 | 3 | |
22 | 100 | 4 | |
23 | 100 | 2 | |
24 | 100 | 0 | |
25 | 100 | 2 |
Whats p- value?
Conclusion?
Here we need to find proportion of non confronting rooms are less than 2% or not.As the null hypothesis always has an equal sign here
\
Here total percent of observed hotel romms/number of hotels = 2.8%=0.028
Here q=1-p=0.98
Now we will find test statistic
Now P-value for P(z<0.286)=0.6126
As the P-value(0.286) is greater than alpha=0.05 we fail to reject the null hypothesis.
So we do not have enough evidence to support the claim that the proportion of nonconforming rooms in less than 2%.
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