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.
The logistic growth model does not describe all populations.
The frequency of competition according to the number of species involved.
Comparison of normal and sickle cell red blood cells.
Standard Laboratory Lipid Profiles
How to create a sine equation when the curve is given
A bell-shaped, or “normal,” curve shows the distribution of phenotypes for traits controlled by ...