Let X1, X2,...,X, be a random sample from a normal distribution with mean U and variance n o?. Let ô1 Ex, and n i=1 n θ- Σαχ; where Σa = 0, hen i = 1 i = 1 Select one: a. v(ô,) < v(@2) b. var(@,) > var(62) С. v(ô,) = v(@g) d. no sufficient information
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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