MA 3110 STATS CHAPTER 6 Flashcards
(9 cards)
If a continuous random variable has a distribution with a graph that is symmetric and bell-shped, we say that is it ___.
Normal distribution
A continuous random variable has a ___ if its values are spread evenly over the range of possibilities. The graph of a uniform distribution results in a rectangular shape.
Uniform distribution
The ___ is a normal probability distribution with u = 0 and o = 1. The total area under its density curve is equal to 1.
Standard normal distribution
The ___ ( such as a sample mean or sample proportion) is the distribution of all values of the statistic when all possible samples of the same size n are taken from the same population. It is typically represented as a probability distribution in the format of a table, probability histogram or formula
Sampling distribution of a statistic
The ___ is the distribution of sample means, with all samples have the same sample size n taken from the same population. It is typically represented as a probability distribution in the format of a table, probability histogram, or formula. It is typically represented as a probability distribution in the format of a table, probability histogram, or formula.
Sampling distribution of the mean
The ___ is the distribution of sample variances, with all samples having the same sample size n take from the same population. It is typically represented as a probability distribution in the format of a table, probability histogram, or formula.
Sampling distribution of the variance
The ___ is the distribution of sample proportions, with all samples having the same sample size n taken from the same population.
Sampling distribution of the proportion
When we use the normal distribution (a continuous probability distribution) as an approximation to the binomial distribution (which is discrete), a ___ is made to a discrete whole number x in the binomial distribution by representing the discrete whole number x by the interval from x-0.5 to x + 0.5 (that is by adding and subtracting 0.5.
Continuity correction
A normal ___ (or normal ___) is a graph of points (x,y) where each x value is from the original set of sample data, and each y value is the corresponding z score that is a quantile value expected from the standard normal distribution.
Quantile Plot or
Probability Plot