3. The standard error measures: the variability in the population the variability of population parameters the variability of sample statistics the variability of the sampled observations
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.
![3. The standard error measures:
the variability in the population
the variability of population parameters
the variability of sample statistics
the variability of the sampled observations
X Incorrect
This question refers to the following learning objective(s): Distinguish standard deviation (o or s) and standard
error (SE): standard deviation measures the variability in the data, while standard error measures the
variability in point estimates from different samples of the same size and from the same population, i.e.
measures the sampling variability.
The "variability of the sampled observations" is measured by the sample standard deviation s.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc6652ae4-5ddc-415f-bbca-7a9eba572c9e%2F25dec94a-fc35-4714-b24a-f3a2dba0c9d5%2Fsux29xm_processed.png&w=3840&q=75)
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