Statistical power is the likelihood that a test (statistical test) will detect an effect when there is an effect there to be detected. Statistical power<span> is inversely related to </span><span>the probability of making a </span>Type II error (Type II errors<span>, or </span>false negatives, occur when you don’t see things that are there) = beta<span>.
statistical power = 1 – </span>β. The critical value<span> is the </span>value corresponding to a given significance level. The statistical power<span> is </span>influenced by the choice of significance level for the test (by the critical value). Larger critical value means increased power of the test: <span> the chance of obtaining a statistically significant result is increased (reduces the risk of a </span>Type II error<span> (false negative regarding whether an effect exists) is reduced) . </span>
Answer:
For school lunch I get cheese crusted pizza but if I pack a lunch I eat peanut butter sandwich or Tuna salad.
11. C
12. A
13. B
16 and 17. Dont know sorry
Answer:
The scientist must complete the experiment, evaluate the results and disclose his conclusions.
Explanation:
If the scientist wishes to find conflicting data in a widely accepted theory, he must first establish a scientific experiment using all the steps of the scientific method. It is important for the scientist to complete the entire experiment so that he can evaluate the results and reach concrete conclusions about whether there is, in fact, conflicting data in the theory. The results should generate conclusions that must be disclosed regardless of whether the cinetist's hypotheses are proven or not.
The scientific method is a set of rules that guide the execution of a scientific experiment.
