per. 3 I learned that the p-value is an all-purpose measure that scientists often use to determine whether or not an experimental result is “statistically significant.” More specifically, defines the effects of randomness, or the probability of the experiment working even if the hypothesis was wrong. Anything under .05 is considered “statistically significant.” However, this p-value doesn't guarantee the validity of the results due to mere chance. If an experiment is done enough times, odds are the scientists will eventually get the results they want. In the dead salmon experiment, they received a p-value of less than .001, but due to the multitude of patterns that could occur in the experiment, the experiment and the p value were rendered useless.
per. 3
ReplyDeleteI learned that the p-value is an all-purpose measure that scientists often use to determine whether or not an experimental result is “statistically significant.” More specifically, defines the effects of randomness, or the probability of the experiment working even if the hypothesis was wrong. Anything under .05 is considered “statistically significant.” However, this p-value doesn't guarantee the validity of the results due to mere chance. If an experiment is done enough times, odds are the scientists will eventually get the results they want. In the dead salmon experiment, they received a p-value of less than .001, but due to the multitude of patterns that could occur in the experiment, the experiment and the p value were rendered useless.