MATH 1P98 Lecture Notes - Lecture 7: Standard Score, Central Limit Theorem, Standard Deviation

• School: Brock University
• Department: Mathematics and Statistics
• Course: MATH 1P98
• Professor: Susanna Spektor

Document Summary

Theorem which stats as the sample size increases, the sampling distribution of the sample means will become approximately normally distributed. A correction applied to convert a discrete distribution to a continuous distribution. A correction applied to the standard error of the means when the sample size is more than. 5% of the population size and the sampling is done without replacement. Distribution obtained by using the means computed from random samples of a specific size. Difference which occurs between the sample statistic and the population parameter due to the fact that the sample isn"t a perfect representation of the population. The standard deviation of the sampling distribution of the sample means. It is equal to the standard deviation of the population divided by the square root of the sample size. A normal distribution in which the mean is 0 and the standard deviation is 1. A standardized score in which the mean is zero and the standard deviation is 1.