<em>The</em><em> </em><em>Model </em><em>Was </em><em>Dressed </em><em>To </em><em>Perfection </em><em>In </em><em>A </em><em>Beautiful </em><em>Outfit </em><em>And </em><em>A </em><em>Stylish </em><em>Scarf </em><em> </em><em>To </em><em>Match </em><em>And </em><em>She </em><em>Worked </em><em>C</em><em>aptivity </em>
A scientist using ordinary decimal notation would have to write the diameter of, say, a helium atom as 0.000 000 000 062 m and the distance to the moon as 340 000 000 m.There would be way too much zeros to write
Answer:
Power is the probability that a test of significance will detect a deviation from the null hypothesis, should such a deviation exist. Power is the probability of avoiding a Type II error. Simply put, power is the probability of not making a Type II error, according to Neil Weiss in Introductory Statistics. Mathematically, power is 1 – beta.
Explanation:
hope this helps