Chapter 6 Flashcards
Normal Distribution
If a random variable has a probability distribution whose graph is continuous, bell-shaped, and symmetric
Normal Distribution Curve
The graph of a normal distribution
Symmetric distribution
Values are evenly distributed on either side of the mean. A normal distribution is symmetric.
Negatively/left-skewed
Majority of the values fall to the right of the mean
Positively/right-skewed
Majority of the data values fall to the left of the mean
Standard Normal Distribution
A normal distribution with a mean of 0 and a standard deviation of 1
Continuous Distribution
-Normal distribution
-No gaps in the curve
Ways to check for normality
- Draw a histogram
- Check skewness using PC
- Index (greater than or = to +1 or equal to -1 is concluded to be significantly skewed)
- Check for outliers
PC less than 1
Distribution is skewed left (negative)
Sampling Distribution of Sample Means
A distribution using the means computed from all possible random samples of a specific size taken from a population.
Sampling Error
The difference between the sample measure and the corresponding population measure due to the fact that the sample is not a perfect representation of the population
Standard Error of the Mean
Standard deviation of the sample means
Central Limit Theorem
As the sample size increases without limit, the shape of the distribution of the sample means taken with replacement will approach a normal distribution