Quesion Help How do the requirements for a chi-square test for a variance or standard deviation differ from a z-test or at-test for a mean? Choose the correct answer below. es O A A chi-square test can only be used when the population has a normal distribution. On the other hand, a z-test or a t-test can only be used when the sample size is at least 30. O B. A chi-square test can only be used when the population has a normal distribution. On the other hand, a z-test or a t-test can be used when either the population has a normal distribution or the sample size is at least 30. OC. Az-test or a t-test can only be used when the population has a normal distribution. On the other hand, a chi-square test can be used when either the population has a normal distribution or the sample size is at least 30. O D. Az-test or a t-test can only be used when the population has a normal distribution. On the other hand, a chi-square test can only be used when the sample size is at least 30. Click to select your answer. 田 acer
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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