Part i) Suppose the number of printers drawn is quadrupled. How will the standard deviation of sample mean printing speed change? OA. It will decrease by a factor of 4. OB. It will increase by a factor of 4. OC. It will increase by a factor of 2. OD. It will decrease by a factor of 2. OE. It will remain unchanged. Part ii) Suppose the number of printers drawn is quadrupled. How will the mean of the sample mean printing speed change? OA. It will increase by a factor of 4. OB. It will decrease by a factor of 2. OC. It will increase by a factor of 2. OD. It will decrease by a factor of 4. OE. It will remain unchanged. Part iii) Consider the statement: 'The distribution of the mean printing speed of the sampled printers is Normal.' OA. It is an incorrect statement. The distribution of the mean printing speed of the sample is not Normal. OB. It is a correct statement, but it is not a result of the Central Limit Theorem. OC. It is a correct statement, and it is a result of the Central Limit Theorem.
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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