In: Statistics and Probability
In a rural area only about 39% of the wells that are drilled find adequate water at a depth of 100 feet or less. A local man claims to be able to find water by dowsing, that is, using a forked stick to indicate where the well should be drilled. You check with 66 of his customers and find that 35 have wells less than 100 feet deep. Answer the questions below.
(a) Write appropriate hypotheses.
Upper H 0 :H0: |
The percentage of successful wells drilled by the dowser
(1) ______________ |
Upper H Subscript Upper A Baseline :HA: |
The percentage of successful wells drilled by the dowser
(2) _______________ |
(b) Check the necessary assumptions and conditions.
The independence assumption is (3)______________
The randomization condition is (4)___________________
The 10% condition is (5)______________________
The success/failure condition is (6)_______________
(c) Perform the mechanics of the test. What is the P-value?
P-value =__________________ (Round to three decimal places as needed.)
(d) Explain carefully what the P-value means in this context.
A. If his dowsing has a better success rate as standard drilling methods, the P-value is the probability of seeing results as good as those of the dowser, or better, because of natural sampling variation.
B. If his dowsing has a worse success rate as standard drilling methods, the P-value is the probability of seeing results as bad as those of the dowser, or worse, because of natural sampling variation.
C. If his dowsing has the same success rate as standard drilling methods, the P-value is the probability of seeing results as good as those of the dowser, or better, because of natural sampling variation.
(e) What is your conclusion? (Consider a P-value of around 5% to represent strong evidence.)
A.We can reject the null hypothesis. There is evidence to suggest that the dowser has a success rate higher than 39%.
B.We can reject the null hypothesis. There is is not evidence to suggest that the dowser has a success rate higher than 39%.
C.We fail to reject the null hypothesis. There is not evidence to suggest that the dowser has a success rate higher than 39%.
(1)
is less than 39%.
is not equal to 39%.
is equal to 39%.
is greater than 39%.
(2)
is less than 39%.
is equal to 39%.
is not equal to 39%.
is greater than 39%.
(3)
not satisfied.
satisfied.
(4)
not satisfied.
satisfied.
(5)
satisfied.
not satisfied.
(6)
not satisfied.
satisfied.
a) Hypotheses Formulation:
Null hypothesis |
The percentage of successful wells drilled by the dowser :
39% of the wells that are drilled find adequate water at a depth of 100 feet or less. i.e p = 0.39 |
Alternative hypotheiss |
Greater than 39% of the wells that are drilled find adequate water at a depth of 100 feet or less. i.e p > 0.39 |
(b) conditions (3), (4), (5), (6)
(c)
We need to find evidence to support his claim. So: define
P=P( find water at a depth <100 fts via dowsing)
Test and CI for One Proportion
Method
p: event proportion |
Exact method is used for this analysis. |
Descriptive Statistics
N | Event | Sample p | 95% Lower Bound for p |
66 | 35 | 0.530303 | 0.422274 |
Test
Null hypothesis | H₀: p = 0.39 |
Alternative hypothesis | H₁: p > 0.39 |
P-Value |
0.014 |
(d) C. If his dowsing has the same success rate as standard drilling methods, the P-value is the probability of seeing results as good as those of the dowser, or better, because of natural sampling variation.
(e) A. We can reject the null hypothesis. There is evidence to suggest that the dowser has a success rate higher than 39%.