OBJECTIVE FORESTRY

FORESTRY

AGRICULTURAL STATISTICS AND ECONOMICS

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
The drying supervisor uses the new method on a random sample of 200 boards. She conducts a hypothesis test on her sample data and gets a p-value of .027. Based on the p-value, was there convincing evidence that the new method is better? Use
A
Since our p-value of 0.027 is <
B
Since our p-value of 0.027 is >undefined, we fail to reject the null hypothesis. We do not have convincing evidence that the new method is better.
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -To graph a significance level of 0.05, we need to shade the 5% of the distribution that is furthest away from the null hypothesis. In the graph above, the two shaded areas are equidistant from the null hypothesis value and each area has a probability of 0.025, for a total of 0.05.

Detailed explanation-2: -P > 0.05 is the probability that the null hypothesis is true. 1 minus the P value is the probability that the alternative hypothesis is true. A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.

Detailed explanation-3: -The p-value is the probability that the null hypothesis is true. (1 – the p-value) is the probability that the alternative hypothesis is true. A low p-value shows that the results are replicable. A low p-value shows that the effect is large or that the result is of major theoretical, clinical or practical importance.

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