Suppose you have a discrete population whose shape could be best described as a series of 5 bars or differing heights ( 10% are 1's: 30% are 2's: 20% are 3's: 30% are 4's and 10% are 5's) If you take a bunch of samples with a large sample size n from this population and plot the means of these different samples, what does the shape of the sampling distribution look like? 1) a tall, skinny bell shaped curve 2) a uniform distribution 3) a wavy line 4) a short, wide bell shaped curve
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.
Suppose you have a discrete population whose shape could be best described as a series of 5 bars or differing heights ( 10% are 1's: 30% are 2's: 20% are 3's: 30% are 4's and 10% are 5's)
If you take a bunch of samples with a large
1) a tall, skinny bell shaped curve
2) a uniform distribution
3) a wavy line
4) a short, wide bell shaped curve
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