Consider the following sampling distribution of the sample mean. For numbers 12-14, refer to the following table. 4. 4.5 5.5 5. 9. (x)d 1. 1 1. 8. 8. 12. What is the probability that the sample mean less than 5, P(x < 5) ? B. 13. What is P(4.55ES 5.5)? B A.1 14. What is the mean of the sampling distribution of the sample mean? A. 2 B. 3 C. 4 D. 5 15. What is the variance of the sampling distribution? A. 0.6123 B. 0.4790 C.0.375 D. 0.28 I. Estimation of Parameters: Read and analyze the questions then write the letter that: rour answer on the space provided before each number. Use uppercase letters. 104 14
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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