State the null and research hypotheses. Set the level of risk associated with the null hypothesis. Select the appropriate test statistic.
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.
the night shift workers in three of the super bo's specialty stores stock about 500 products in about 3 hours. how does the rate compare with the stocking done in the other 97 stores in the chain, which average about 496 products stocked in 3 hours? are the stockers at the specialty stores doing "better than Average" job? here's the info you need
size. products stocks standard deviation
specialty stores 3. 500. 12.56
all stores. 100. 496. 22.13
using these 7 steps:
- State the null and research hypotheses.
- Set the level of risk associated with the null hypothesis.
- Select the appropriate test statistic.
- Compute the test statistic value.
- Determine the critical value(s).
- Compare the obtained and critical values.
- Make a decision.
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