Complete parts (a) through (d) for the sampling distribution of the sample mean shown in the accompanying graph. Click the icon to view the graph. (a) What is the value of u;? The value of u; is 600 . (b) What is the value of o;? The value of o; is 30. (c) If the sample size is n= 9, what is likely true about the shape of the population? O A. The shape of the population is skewed left. B. The shape of the population is skewed right. C. The shape of the population is approximately normal. O D. The shape of the population cannot be determined. (d) If the sample size is n= 9, what is the standard deviation of the population from which the sample was drawn? The standard deviation of the population from which the sample was drawn is
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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