How accurately the standard normal curve model predicts the actual relative frequency of raw scores depends on three aspects of the data:
a. The raw scores form an approximately normal distribution; there is a large sample N; and the raw scores are theoretically continuous scores measured on an interval or ratio scale.
b. 50 of the raw scores are above and below the median; there is a large sample N; and the raw scores are measured on an ordinal, interval, or ratio scale.
c. 50 of the raw scores are above and below the median; there is a moderately large sample N; the raw scores are theoretically continuous scores measured on an interval or ratio scale.
d. The raw scores form an approximately normal distribution; there is a moderately large sample N; and the raw scores are measured on an ordinal, interval, or ratio scale.
Question 2
A perfect normal curve, which serves as a model of any approximately normal z-distribution, is called the
a. sampling distribution of means. c. standard normal curve.
b. standard, normalized z-distribution. d. standard mean score distribution.
Refraction; A, normal eye; B, myopia; C, hyperopia.
The principle of faunal succession uses animal fossils to tell relative time.
A model for the operation of voltage-gated sodium channels.
Normal conduction pathway in the heart.
The Holliday model for homologous recombination
Effect of “Moral Restraint” in the Malthusian Model