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.
Normal and mutant homeotic gene action in Arabidopsis
A normal pregnancy.
recombination frequency
Changes in the bronchioles during an asthma attack: (a) Normal bronchiole. (b) The inflammatory ...
Microbes that have become model organisms for genetic studies
Frequency diagrams of skin colors. (a) Skin color distribution in the parents falls into two discont