In: Math
Determine whether the BEST, most common interpretation of the given statement is:
TRUE - Select 1
FALSE - Select 2
Question 1 options
When the population standard deviation sigma is assumed known, a confidence interval can assume NORMALITY of the SAMPLE MEAN if the sample size is greater than 30.
INCREASING the confidence level of a confidence interval from 90% to 99% makes the interval SHORTER.
A CONFIDENCE INTERVAL can be interpreted as the single best ESTIMATE of a population parameter.
As the sample size INCREASES for computing a confidence interval, the width of the confidence interval DECREASES.
For a PROBABILITY DENSITY FUNCTION, the area between two values aand b is the probability a randomly selected individual will have a value between a and b.
A Z-SCORE can be interpreted for a value as the value's number of standard deviation above or below the mean.
A NORMAL distribution will have an approximately SYMMETRIC histogram.
As the STANDARD DEVIATION decreases for a normal distribution, the values become LESS concentrated around the MEAN.
The goal when using confidence intervals is to have WIDE INTERVALS to be assured that the interval contains the population parameter.
A SYMMETRIC histogram implies the plotted variable is NORMALLY distributed.